The Senior IAM Engineer at Northwestern Mutual Life Insurance Company in Milwaukee, WI will monitor live systems, fix bugs, address identified cyber threats, write new features, maintain documentation, and participate in planning sessions. Implement identity provisioning and deprovisioning workflow in SailPoint IdentityIQ. Create rules and rule libraries to implement business logic. Analyze, design, develop, deploy and infrastructure implementations and upgrades of IAM products. Establish authoritative source for Join, Move, Leave lifecycle events for Field and Home Office workforce. Resolve dependencies to ensure a smooth roll out of features to customers. Develop Micro Services using spring boot framework to expose IAM functionalities to client systems. Create batch process to publish data for downstream system using Java batch programming. Create Provisioning Roles and Account templates in CA IDM Provisioning manager. Migrate legacy CA IDM functionalities to SailPoint. Configure Policy Express to perform data validation and modify values in Oracle Enterprise Directory/Active Directory. Utilize CA Identity Manager for user provisioning and work on LDAP programming to create and update user account in Enterprise Directory and Active Directory. Utilize Identity API (Account Request, LCM Provisioning, Object Request, Managed Attribute) to create, modify, delete identities. Build automation test suites for life cycle events using node.js and Kevlar framework. Resolve problem tickets to remediate production issues using tools including Logstash, Kibana and ServiceNow. Contribute to innovation of software development within IAM domain. Design integration test for application and verify performance tests. Telecommuting permitted 3 days per week. Salary $92,331 - $185,250 per year.
Minimum Requirements: Master’s degree in Cyber Security, Computer Science, Computer and Information Sciences, or related field plus 2 years of experience as a software developer or related occupation. Experience must include 2 years of experience with each of the following: (1) analyzing, designing, developing, deploying, and supporting software using Java, J2EE Servlets, JSP, and JDBC; (2) SSO, Federation, Sun IDM, LDAP, Active Directory, Active Directory Federation services, Azure, AWS, and SailPoint IIQ; (3) Python, JavaScript, and PowerShell; (4) Web Services, HTML, SQL and XML; (5) CA IDM suite; and (6) utilizing Selenium and Kevlar.
Interested candidates send resume to [email protected]. Reference code 446 in the subject line.
Any wage range listed here supersedes corresponding wage ranges listed within the Pay Transparency Guide.
We are an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or status as a protected veteran, or any other characteristic protected by law.
If you work or would be working in California, Colorado, New York City, Washington or outside of a Corporate location, please click here for additional information pertaining to compensation and benefits.
We’re excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and commitment to diversity and inclusion.
The Assistant Director of Data Engineering at Northwestern Mutual Life Insurance Company in Milwaukee, Wisconsin will manage and mentor engineer direct reports across multiple delivery teams. Participate with leadership team on strategic planning, roadmap development, and operational planning. Analyze business and functional specifications to deliver high-quality data solutions while maintaining development best practices with engineering teams. Learn and apply new cloud-based solutions, enhancements, and maintenance of existing solutions. Lead and produce functional and technical designs of data platform components (Services, Infrastructure, Data) and data solutions, and participate in all phases of development, testing, and production support. Participate in a financial services investment domain digital transformation. Work with engineering leadership and product organization to develop and manage roadmaps and feature definitions for Unified Data Platform. Collaborate with teams across data organization as well as infrastructure and cloud service. Maintain governance and security conformity within platform aligned with data architecture. Ensure delivery consistency and timeliness by engineering teams. Facilitate design discussions and ceremonies with teams to drive out a consistent development approach that focuses on fundamental engineering processes that align to Agile standards. Define standard operating procedures for engineering teams and align work to standards and practices of Platform Strategy organization. Define and track engineering team goals on a quarterly basis following standards of organization. Telecommuting permitted. Salary $148,328- $298,610 per year.
Minimum Requirements: Bachelor's degree in Computer Science, Analytics or related field, plus 5 years of experience as a software engineer, data engineer, or related occupation. 5 years of experience must include 2 years of experience with each of the following: (1) working with modern engineering tools, languages and practices, including AWS technologies (S3, DMS, and MSK), GitLab, Java, JavaScript, Python, and the Databricks platform and services; (2) leading engineering teams, including providing direct feedback and performance reviews; (3) designing and delivering technology solutions consisting of multiple components and vendor systems used by dozens of engineers or customers; (4) developing and leading solution delivery using agile methods; (5) communicating between product, engineering, and the business; and (6) data lake concepts, modern data stacks, and relational databases, including DB2 LUW, MySQL, Oracle, Sybase, or DB2 z/OS.
Interested candidates send resume to [email protected]. Reference code 88 in the subject line.
Any wage range listed here supersedes corresponding wage ranges listed within the Pay Transparency Guide.
We are an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or status as a protected veteran, or any other characteristic protected by law.
If you work or would be working in California, Colorado, New York City, Washington or outside of a Corporate location, please click here for additional information pertaining to compensation and benefits.
We’re excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and commitment to diversity and inclusion.
Location: Remote, Alabama, Alaska, Arizona, Arkansas, Colorado, Connecticut, Delaware, District of Columbia, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming, Nebraska
Work Type: Full Time Regular
Job No: 503091
Categories: Information Technology
Application Closes: Closes May 10, 2024
SHARE Joining Mutual of Omaha as a Full Stack Java Engineer presents an exceptional opportunity to spearhead critical integrations within our Workplace Solutions division. With a focus on modernization efforts leveraging your expertise in Java, Spring Boot and JavaScript, your role will be instrumental in bridging on-premises and cloud technologies for our Fortune 500 business. Your commitment to excellence will contribute significantly to our mission of delivering innovative solutions and maintaining our competitive edge in the market.
WHAT WE CAN OFFER YOU:
Applicants for this position must not now, nor at any point in the future, require sponsorship for employment.
WHAT YOU'LL DO:
WHAT YOU’LL BRING:
PREFERRED:
We value diverse experience, skills, and passion for innovation. If your experience aligns with the listed requirements, please apply!
If you have questions about your application or the hiring process, email our Talent Acquisition area at [email protected]. Please allow at least one week from time of applying if you are checking on the status.
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Remote | 503127
Job Classification: Technology - Engineering & Cloud Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you’ll unlock an exciting and impactful career – all while growing your skills and advancing your profession at one of the world’s leading financial services institutions. Your Team & Role As a Software Engineer on GI Tech Modernization, you will partner with product owners, tech leads, designers, engineers and delivery professionals. You will code, test and debug new and existing applications as you implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to an applied technical understanding and knowledge, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do. Here is What You Can Expect on a Typical Day* Build applications ensuring that the code follows latest coding practices and industry standards, using modern design patterns and architectural principles; with guidance, actively code against the roadmap * Develop high quality, well documented and efficient code adhering to all applicable Prudential standards * Collaborate with product owners in understanding needs and defining feature stories, tech leads in defining technical design and other team members to understand the system end-to-end and deliver robust solutions that bring about business impact * Write unit, integration tests and functional automation, researching problems discovered by quality assurance or product support, developing solutions to address the problems * Bring an understanding of relevant and emerging technologies, begin to identify opportunities to provide feedback to the team, and embed learning and innovation in the day-to-day * Work on problems of diverse scope in which analysis of data requires evaluation of identifiable factors * Use programming languages including but not limited to Python, Java, or JavaScript and React, Springboot, Node.js frameworks
The Skills & Expertise You Bring* Bachelor of Computer Science or Engineering or experience in related fields * Leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization * Experience with agile development methodologies and Test-Driven Development (TDD) * Knowledge of business concepts tools and processes that are needed for making sound decisions in the context of the company's business * Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges * Excellent problem solving, communication and collaboration skills * Experience with the following: + Programming Languages: Python, Java or Java Script; working in distributed systems, object oriented programming, design patterns and design methodology; JAVA services using Spring CLI, Maven, Microservice, multi-threading, Concurrency and parallel processing + Frameworks: React, Springboot, Node.js, such as Full / MEAN / MERN stack + Data Store: NoSQL or Relational Data structures; MongoDB BPM tools + Data Streaming: SQS, Kinesis * Knowledge/understanding of the following: + Application Programming Interfaces (API): Consumption & Development; implementing service oriented architecture (SOA) patterns; Web service technologies such as APIs, REST, JSON, SOAP, XML, JDBC, MySQL + Unit, interface and end user testing concepts and tooling (functional & non-functional) + Automated testing + Accessibility awareness + Software security skills including secure coding, web application security and DevSecOps; Solid grasp of security concepts (authentication, authorization, encryption, digital signature, JWT), SSL, web service proxies, firewall, SAML 2.0, OpenID Connect, OAuth 2.0) + Dev Ops Tools & Practices: Branching techniques and usage of GitHub, Bitbucket or Subversion; DevOps, Jenkins + Software Development Life Cycle (SDLC): Monitoring and logging techniques + AWS Core Services: AWS Services such as CloudWatch, Code-Deploy * Preferred qualifications: + AWS Development + Architecture Patterns + Design Thinking + Financial/Insurance industry knowledge is a plus, not a must
You’ll Love Working Here Because You Can Join a team and culture where your voice matters; where every day, your work transforms our experiences to make lives better. As you put your skills to use, we’ll help you make an even bigger impact with learning experiences that can grow your technical AND leadership capabilities. You’ll be surprised by what this rock-solid organization has in store for you. #LI-IM1 Note: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $83,000.00 to $123,400.00. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills. Roles may also be eligible for additional compensation and/or benefits. Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. In addition, employees are eligible for standard benefits package including paid time off, medical, dental and retirement. Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom. Prudential is a multinational financial services leader with operations in the United States, Asia, Europe, and Latin America. Leveraging its heritage of life insurance and asset management expertise, Prudential is focused on helping individual and institutional customers grow and protect their wealth. The company's well-known Rock symbol is an icon of strength, stability, expertise and innovation that has stood the test of time. Prudential's businesses offer a variety of products and services, including life insurance, annuities, retirement-related services, mutual funds, asset management, and real estate services. We recognize that our strength and success are directly linked to the quality and skills of our diverse associates. We are proud to be a place where talented people who want to make a difference can grow as professionals, leaders, and as individuals. Visit www.prudential.com to learn more about our values, our history and our brand. Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status , medical condition or any other characteristic protected by law. The Prudential Insurance Company of America, Newark, NJ and its affiliates. Note that this posting is intended for individual applicants. Search firms or agencies should email Staffing at [email protected] for more information about doing business with Prudential. PEOPLE WITH DISABILITIES:
If you need an accommodation to complete the application process, which may include an assessment, please email [email protected]. Please note that the above email is solely for individuals with disabilities requesting an accommodation. If you are experiencing a technical issue with your application or an assessment, please email [email protected] to request assistance.
Job Classification: Technology - Data Analytics & Management Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you’ll unlock an exciting and impactful career – all while growing your skills and advancing your profession at one of the world’s leading financial services institutions. As a Senior Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals. You will implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do.
Here is what you can expect in a typical day:* Operationalize ML software models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams; remove complex technical impediments * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment * Leverage cloud-based architectures and technologies to deliver optimized ML models at scale * Construct optimized data pipelines to feed ML models * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code * Bring a applied understanding of relevant and emerging technologies, begin to identify opportunities to provide input to the team and coach others and embed learning and innovation in the day-to-day * Work on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors * Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL
The Skills and expertise you bring:* Bachelor of Computer Science or Engineering or experience in related fields * Leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization * Experience with agile development methodologies and Test-Driven Development (TDD) * Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business * Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges * Excellent problem solving, communication and collaboration skills
Applied experience with several of the following:* Software Engineering & System Design: Requirement analysis, coding, and testing, version control, microservices architecture, building RestFul APIs, Distributed computing, architecture patterns, general understanding of computer architecture, Object-oriented programming concepts * Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics * Model Performance Management: model monitoring, model validation, bias detection, explainability, performance, drift, outliers etc. * Model Deployment: Thorough Understanding of MDLC (Model Development Life Cycle), CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness etc.), A/B testing. Pipeline frameworks like MLFlow, AWS SageMaker pipeline etc. model and data versioning * Data Integration, Transformation & Processing: Transforming and mapping raw data to generate insights. Data wrangling through various tools. Understanding big data ecosystems, relational, NOSQL and graph databases, unstructured and semi-structured data. Data processing on distributed systems with Spark/PySpark * Statistics and Computing: Strong knowledge of: Linear Algebra, Probability and Statistics, Multivariate Calculus, Distributions like Poisson, Normal, Binomial etc. * Programming Languages: Python, R, SQL, Java or Scala, SQL
What we offer you:* Market competitive base salaries, with a yearly bonus potential at every level * Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave * Retirement plans: * 401(k) plan with company match (up to 4%) * Company-funded pension plan * Wellness Programs to help you achieve your wellbeing goals, including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs * Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development. * Tuition Assistance to help finance traditional college enrollment toward obtaining an approved degree, many accredited certificate programs, and industry designations. * Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service.
To find out more about our Total Reward package, visit Work Life Balance | Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week.
You’ll Love Working Here Because You Can Join a team and culture where your voice matters; where every day, your work transforms our experiences to make lives better. As you put your skills to use, we’ll help you make an even bigger impact with learning experiences that can grow your technical AND leadership capabilities. You’ll be surprised by what this rock-solid organization has in store for you. Note: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $99,000.00 to $163,200.00. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills. Roles may also be eligible for additional compensation and/or benefits. Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. In addition, employees are eligible for standard benefits package including paid time off, medical, dental and retirement. Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom. Prudential is a multinational financial services leader with operations in the United States, Asia, Europe, and Latin America. Leveraging its heritage of life insurance and asset management expertise, Prudential is focused on helping individual and institutional customers grow and protect their wealth. The company's well-known Rock symbol is an icon of strength, stability, expertise and innovation that has stood the test of time. Prudential's businesses offer a variety of products and services, including life insurance, annuities, retirement-related services, mutual funds, asset management, and real estate services. We recognize that our strength and success are directly linked to the quality and skills of our diverse associates. We are proud to be a place where talented people who want to make a difference can grow as professionals, leaders, and as individuals. Visit www.prudential.com to learn more about our values, our history and our brand. Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status , medical condition or any other characteristic protected by law. The Prudential Insurance Company of America, Newark, NJ and its affiliates. Note that this posting is intended for individual applicants. Search firms or agencies should email Staffing at [email protected] for more information about doing business with Prudential. PEOPLE WITH DISABILITIES:
If you need an accommodation to complete the application process, which may include an assessment, please email [email protected]. Please note that the above email is solely for individuals with disabilities requesting an accommodation. If you are experiencing a technical issue with your application or an assessment, please email [email protected] to request assistance.
Job Classification: Technology - Data Analytics & Management Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you’ll unlock an exciting and impactful career – all while growing your skills and advancing your profession at one of the world’s leading financial services institutions. As a VP, Principal Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to deep technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do. You will set technical standards and bring deep technical expertise and experience within machine learning models that will deliver stability, producibility, scalability and integration with other products and services. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to being a technical expert, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do. Here is what you can expect in a typical day:* Operationalize ML software models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams; remove complex technical impediments and align the roadmap. * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment * Leverage cloud-based architectures and technologies to deliver optimized ML models at scale * Construct optimized data pipelines to feed ML models * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code * Bring a Expert understanding of relevant and emerging technologies, provide technical guidance and leadership to team members and role-model our continuous learning culture and embed learning and innovation in the day-to-day * Work on critical applications, maintain a broad knowledge of innovative principles and theory * Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL
The Skills and expertise you bring:* Bachelor of Computer Science or Engineering or experience in related fields * Lead and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization * Experience with agile development methodologies and Test-Driven Development (TDD) * Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business * Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges * Excellent problem solving, communication and collaboration skills
Significant experience and/or deep expertise with several of the following:* Software Engineering & System Design: Requirement analysis, coding, and testing, version control, microservices architecture, building RestFul APIs, Distributed computing, architecture patterns, general understanding of computer architecture, Object-oriented programming concepts * Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics * Model Performance Management: model monitoring, model validation, bias detection, explainability, performance, drift, outliers etc. * Model Deployment: Thorough Understanding of MDLC (Model Development Life Cycle), CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness etc.), A/B testing. Pipeline frameworks like MLFlow, AWS SageMaker pipeline etc. model and data versioning * Data Integration, Transformation & Processing: Transforming and mapping raw data to generate insights. Data wrangling through various tools. Understanding big data ecosystems, relational, NOSQL and graph databases, unstructured and semi-structured data. Data processing on distributed systems with Spark/PySpark * Statistics and Computing: Strong knowledge of: Linear Algebra, Probability and Statistics, Multivariate Calculus, Distributions like Poisson, Normal, Binomial etc. * Programming Languages: Python, R, SQL, Java or Scala, SQL
What we offer you:* Market competitive base salaries, with a yearly bonus potential at every level * Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave * Retirement plans: * 401(k) plan with company match (up to 4%) * Company-funded pension plan * Wellness Programs to help you achieve your wellbeing goals, including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs * Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development. * Tuition Assistance to help finance traditional college enrollment toward obtaining an approved degree, many accredited certificate programs, and industry designations. * Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service.
You’ll Love Working Here Because You Can Join a team and culture where your voice matters; where every day, your work transforms our experiences to make lives better. As you put your skills to use, we’ll help you make an even bigger impact with learning experiences that can grow your technical AND leadership capabilities. You’ll be surprised by what this rock-solid organization has in store for you. Note: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $195,100.00 to $263,900.00. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills. Roles may also be eligible for additional compensation and/or benefits. Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. In addition, employees are eligible for standard benefits package including paid time off, medical, dental and retirement. Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom. Prudential is a multinational financial services leader with operations in the United States, Asia, Europe, and Latin America. Leveraging its heritage of life insurance and asset management expertise, Prudential is focused on helping individual and institutional customers grow and protect their wealth. The company's well-known Rock symbol is an icon of strength, stability, expertise and innovation that has stood the test of time. Prudential's businesses offer a variety of products and services, including life insurance, annuities, retirement-related services, mutual funds, asset management, and real estate services. We recognize that our strength and success are directly linked to the quality and skills of our diverse associates. We are proud to be a place where talented people who want to make a difference can grow as professionals, leaders, and as individuals. Visit www.prudential.com to learn more about our values, our history and our brand. Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status , medical condition or any other characteristic protected by law. The Prudential Insurance Company of America, Newark, NJ and its affiliates. Note that this posting is intended for individual applicants. Search firms or agencies should email Staffing at [email protected] for more information about doing business with Prudential. PEOPLE WITH DISABILITIES:
If you need an accommodation to complete the application process, which may include an assessment, please email [email protected]. Please note that the above email is solely for individuals with disabilities requesting an accommodation. If you are experiencing a technical issue with your application or an assessment, please email [email protected] to request assistance.
Job Classification: Technology - Data Analytics & Management Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you’ll unlock an exciting and impactful career – all while growing your skills and advancing your profession at one of the world’s leading financial services institutions. As a Director, Machine Learning Engineer you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to deep technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do. Here is what you can expect in a typical day:* Operationalize ML software models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams; remove complex technical impediments * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment * Leverage cloud-based architectures and technologies to deliver optimized ML models at scale * Construct optimized data pipelines to feed ML models * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code * Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day * Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies * Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL
The Skills and expertise you bring:* Bachelor of Computer Science or Engineering or experience in related fields * Ability to lead independently with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization * Experience with agile development methodologies and Test-Driven Development (TDD) * Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business * Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges * Excellent problem solving, communication and collaboration skills
Significant experience and/or deep expertise with several of the following:* Software Engineering & System Design: Requirement analysis, coding, and testing, version control, microservices architecture, building RestFul APIs, Distributed computing, architecture patterns, general understanding of computer architecture, Object-oriented programming concepts * Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics * Model Performance Management: model monitoring, model validation, bias detection, explainability, performance, drift, outliers etc. * Model Deployment: Thorough Understanding of MDLC (Model Development Life Cycle), CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness etc.), A/B testing. Pipeline frameworks like MLFlow, AWS SageMaker pipeline etc. model and data versioning * Data Integration, Transformation & Processing: Transforming and mapping raw data to generate insights. Data wrangling through various tools. Understanding big data ecosystems, relational, NOSQL and graph databases, unstructured and semi-structured data. Data processing on distributed systems with Spark/PySpark * Statistics and Computing: Strong knowledge of: Linear Algebra, Probability and Statistics, Multivariate Calculus, Distributions like Poisson, Normal, Binomial etc. * Programming Languages: Python, R, SQL, Java or Scala, SQL
What we offer you:* Market competitive base salaries, with a yearly bonus potential at every level * Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave * Retirement plans: * 401(k) plan with company match (up to 4%) * Company-funded pension plan * Wellness Programs to help you achieve your wellbeing goals, including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs * Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development. * Tuition Assistance to help finance traditional college enrollment toward obtaining an approved degree, many accredited certificate programs, and industry designations. * Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service.
To find out more about our Total Reward package, visit Work Life Balance | Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week. You’ll Love Working Here Because You Can Join a team and culture where your voice matters; where every day, your work transforms our experiences to make lives better. As you put your skills to use, we’ll help you make an even bigger impact with learning experiences that can grow your technical AND leadership capabilities. You’ll be surprised by what this rock-solid organization has in store for you. Note: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $163,300.00 to $244,900.00. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills. Roles may also be eligible for additional compensation and/or benefits. Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. In addition, employees are eligible for standard benefits package including paid time off, medical, dental and retirement. Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom. Prudential is a multinational financial services leader with operations in the United States, Asia, Europe, and Latin America. Leveraging its heritage of life insurance and asset management expertise, Prudential is focused on helping individual and institutional customers grow and protect their wealth. The company's well-known Rock symbol is an icon of strength, stability, expertise and innovation that has stood the test of time. Prudential's businesses offer a variety of products and services, including life insurance, annuities, retirement-related services, mutual funds, asset management, and real estate services. We recognize that our strength and success are directly linked to the quality and skills of our diverse associates. We are proud to be a place where talented people who want to make a difference can grow as professionals, leaders, and as individuals. Visit www.prudential.com to learn more about our values, our history and our brand. Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status , medical condition or any other characteristic protected by law. The Prudential Insurance Company of America, Newark, NJ and its affiliates. Note that this posting is intended for individual applicants. Search firms or agencies should email Staffing at [email protected] for more information about doing business with Prudential. PEOPLE WITH DISABILITIES:
If you need an accommodation to complete the application process, which may include an assessment, please email [email protected]. Please note that the above email is solely for individuals with disabilities requesting an accommodation. If you are experiencing a technical issue with your application or an assessment, please email [email protected] to request assistance.