Lead Machine Learning Engineer
Lead Machine Learning Engineer
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Job Description
Job Classification:
Technology Data Analytics & ManagementAre 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 youll unlock an exciting and impactful career all while growing your skills and advancing your profession at one of the worlds leading financial services institutions.
As a Lead 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 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 realworld 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 cloudbased 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 daytoday
- 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 TestDriven Development (TDD)
- Knowledge of business concepts tools and processes that are needed for making sound decisions in the context of the companys business
- Ability to learn new skills and knowledge on an ongoing basis through selfinitiative 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 Objectoriented 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 scikitlearn 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 semistructured 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
- Companyfunded pension plan
- Wellness Programsto help you achieve your wellbeing goals including up to $1600 a year for reimbursement of items purchased to support personal wellbeing needs
- Work/Life Resourcesto help support topics such as parenting housing senior care finances pets legal matters education emotional and mental health and career development.
- Tuition Assistanceto 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 visitWork Life Balance Prudential Careers.Some of the above benefits may not apply to parttime employees scheduled to work less than 20 hours per week.
Youll 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 well help you make an even bigger impact with learning experiences that can grow your technical AND leadership capabilities. Youll be surprised by what this rocksolid 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 $130300.00 to $215100.00. 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.
Companyfunded pension plan.
Wellness Programs including up to $1600 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) after one year of service.
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 parttime 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 .
If you are experiencing a technical issue with your application or an assessment please email to request assistance.
Employment Type
Full-Time
