- 99,000 - 163,200
- Newark, New Jersey
99,000 - 163,200
Newark, New Jersey
Technology - Data Analytics & Management
Job Classification
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
- L
- everage
- 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 companys 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
- to help you achieve your wellbeing goals, including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs
- Wellness Programs
- to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
- Work/Life Resources
- to help finance traditional college enrollment toward obtaining an approved degree, many accredited certificate programs, and industry designations.
- Tuition Assistance
- Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service.
- Employee Stock Purchase Plan
To find out more about our Total Reward package, visit
Work Life Balance | Prudential Careers.
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
.
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 companys well-known Rock symbol is an icon of strength, stability, expertise and innovation that has stood the test of time. Prudentials 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
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
staffingagencies@prudential.com
.
PEOPLE WITH DISABILITIES
accommodations.hw@prudential.com
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
careers.technicalsupport@prudential.com
to request assistance.