Lead, Machine Learning Engineer

Prudential Financial

Newark, NJPosted about 2 months agoDiscoveredMatch locked

Data and Analytics

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About the role

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.

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 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

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. 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. To find out more about our Total Rewards 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. 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 accommodations.hw@prudential.com. If you are experiencing a technical issue with your application or an assessment, please email careers.technicalsupport@prudential.com to request assistance.

Not included in the source posting: about the role.

Skills

machine-learningsqlagilejavapythonscalaartificial-intelligenceawsci-cdcomputer-visiondeep-learningjenkins

Who can apply

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