Genworth Hiring Data Engineer Associate

Position Location: Remote India

Job Requisition ID: REQ-240294

About Genworth:

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care—and we bring those experiences with us to work in serving our millions of policyholders each day.

We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism.

Our four values guide our strategy, our decisions, and our interactions:

Make it human. We care about the people that make up our customers, colleagues, and communities.
Make it about others. We do what’s best for our customers and collaborate to drive progress.
Make it happen. We work with intention toward a common purpose and forge ways forward together.
Make it better. We create fulfilling purpose-driven careers by learning from the world and each other.

Your Role:

In this role, you will be working very closely with Project Stakeholders and the Technical team. As part of your role, you will be responsible for developing and maintaining Pre/Post processing programs and ML models. You will be responsible for maintaining, patching, upgrading, and developing multiple ML & Python-based solutions. This role is a very engaging mix of hands-on technical work as well as opportunities to show leadership skills. You will need a blend of superb problem-solving and innovation skills to resolve a wide variety of technical challenges. You will be working with Stakeholders and Solution Architects who thrive through innovation and will ensure ample room for innovation on every project you are involved in. You will be working with best-in-class employees with a diverse background in a very fun and engaging environment.

What You Will Be Doing:

Build machine learning pipelines for a variety of use cases in insurance.
Develop Python pre/post processing programs for the ML Pipelines using industry-standard ML libraries.
Utilize GCP-based tools for the implementation of ML pipelines (Composer, Airflow, Cloud functions, Bigquery, workbench, DocAI).
Work with Production Support/Run the Shop IT Partner vendor team and provide directions and assistance.
Interact closely with various functional and cross-functional teams to translate business requirements into technical solutions.
Develop Enterprise API and Microservices using Python, JavaScript, Docker, Kubernetes, and DevOps for CICD.

What You Bring:

Overall 2-4 years of experience in Python, GCP.
Having a Math or Computer Science educational background.
Proficient in Python programming language including Pandas, TensorFlow, Scikit-learn, Torch, and Keras ML Libraries.
Proficient in Cleaning and structuring data by applying feature-engineering techniques.
Understanding of High-Performance CV Models and Techniques (Image Classification, Object Detection, Object Tracking, Semantic Segmentation, etc.) and Toolkits/Frameworks from Python, Preferably with Cloud Deployment Experience.
Proficient in Programming theory, practice, and combined with strong hands-on experience in enterprise architectures.
Experience in SQL and Database Design and SQL Tuning.
Must have multiple full lifecycle project experience in developing ML/AI-based solutions.
Basic understanding of NoSQL and RDBMS databases.
Strong focus on providing service to the customer.
Out-of-the-box thinking; Flexible/Critical thinking skills are a must.
Able to sell concepts and designs/benefits to multiple audiences.
Able to work independently and in diverse, and remote teams.