Lead, Machine Learning Engineer

Prudential Annuities Distributors (PAD); Newark (NJ); On-site; USD 125,000 - 230,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with company match

PTO and parental leave

Life and disability insurance

Stock purchase plan

Job summary

Prudential Annuities Distributors (PAD) seeks a Director, Machine Learning Engineer to partner with data scientists, engineers, and analysts to implement scalable ML solutions. You will drive model deployment, data pipelines, and CI/CD practices across cloud platforms, while mentoring team members and delivering business impact.

You will lead with strong communication, agile practices, and deep knowledge of ML, data engineering, and software architecture to solve complex problems and enable

Qualifications

• Bachelor-level degree in Computer Science or Engineering or related field.
• Experience with agile development and Test-Driven Development (TDD).
• Strong problem-solving and collaboration skills.

Responsibilities

• Operationalize ML models and components in collaboration with Product and Data Science teams.
• Develop and validate ML models and automate tests and deployment.
• Leverage cloud architectures to deliver scalable ML models.
• Build optimized data pipelines feeding ML models.
• Implement CI/CD/CT practices and monitor deployments.
• Mentor teammates and promote learning and innovation.

Skills

Coach others

Agile methodologies

Test-Driven Development

Problem solving

Communication

Collaboration

Software engineering

System design

ML algorithms

TensorFlow

PyTorch

scikit-learn

MLFlow

AWS SageMaker

Jenkins

CloudBees

Harness

Education

Bachelor of Computer Science or Engineering

Tools

TensorFlow

PyTorch

scikit-learn

MLFlow

AWS SageMaker

Jenkins

CloudBees

Harness

Job description

Director, Machine Learning Engineer

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 on/in <> , you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to build> . 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 advanced 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.

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 strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day
• Work on complex problems in which analysis of situations or data requires an evaluation of intangible variables
• 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 coach others 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
• Advanced experience and/or 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

• 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 $125,000.00 to $229,700.00. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills.
• 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.
• 401(k) plan with company match (up to 4%).
• Company-funded pension plan.
• Wellness Programs 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.
• Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs.
• Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period).
• 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.
• Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week.

Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom. 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.

If you need an accommodation to complete the application process, please email [e-mail].

If you are experiencing a technical issue with your application or an assessment, please email [e-mail] to request assistance.

Prudential Financial, Inc. (NYSE: PRU), a global financial services leader and premier active global investment manager with approximately $1.4 trillion in assets under management as of Dec. 31, 2023, has operations in the United States, Asia, Europe, and Latin America. Prudential’s diverse and talented employees help make lives better and create financial opportunity for more people by expanding access to investing, insurance, and retirement security.

Our Commitment to an Inclusive Workplace: Prudential Financial, Inc. serves its customers in more than 40 countries and territories, and we seek talented, creative individuals from a variety of backgrounds, worldviews, and life circumstances to work with us. We are focused on creating a fully inclusive culture, where all employees feel comfortable bringing their authentic selves to work. We don’t just accept difference—we celebrate it, support it, and thrive on it. At Prudential, employees have a unique opportunity to build their career path by owning their development, their career, and their future. We encourage employees to hone their skills and explore continued opportunities within Prudential.