Engineer- Data Science

In this highly visible role, you will help develop and optimize Large Language Model based analytics solutions to revolutionize business operations but not limited to:
Be part of a product team of 6-8 Data science, ML and Platform Engineers that are the crux for developing and maintaining Machine Learning /advanced analytics platforms and Big Data solutions
Leverage OpenAI , Azure OpenAI or Google Vertex AI or other open source LLM to help users intuitively and efficiently access large databases
Collaborate with machine learning engineers to build scalable data pipelines and development of new ML models
Leverage MLOps tools to support ML workflows including experimentation, training and production operations
Design and implement tools and processes for the entire ML Ops including model development, model deployment, model serving, model monitoring and experimentation
Work on multiple streams of analytics which includes Time series, image and Tabular data
Work on building accelerators and ML frameworks
Collaborate with data scientists, data engineers and Business SMEs to end-to-end Analytics platform and supporting infrastructure

You re a passionate professional who is up to the challenge of blending the fast-changing technology landscape of Generative AI with the complex and high-impact space of Hi-tech and Manufacturing analytics
Strong appetite for constant learning, thinking out of the box, questioning the problems & solutions with the intent to understand and solve better
You re uncompromisingly detail oriented, well organized with solid time management skills, and you have solid, effective verbal and written communications abilities
Ability to motivate people and instill ownership, reliability, teamwork, and commitment in the team
Excellent interpersonal skills to develop relationships with different teams and peers in the organization

Experience with machine learning frameworks tools like scikit-learn, TensorFlow, or PyTorch
Experience with machine learning lifecycle platforms (Kubeflow, MLflow) and cloud data services (GCP, AWS)
Experience in at least one major programming language (e.g. Python, Scala, Java) and SQL (any variant)
A collaborative coder, comfortable with Git and code reviews
Good Knowledge of data management and data mining architecture.
Ability to proactively identify and resolve issues.

Pune, India
Our site in Pune is dynamic, both in our cutting-edge, innovative work, as well as our vibrant on-site food, and athletic and personal development opportunities for our employees. You can enjoy breakfast, lunch, or dinner from one of four cafeterias in the park. Take a break from your workday and participate in one of our many walkathons or compete against your colleagues in carrom, chess and table tennis. Learn about a technical topic outside your area of expertise at one of our monthly Technical Speaker Series, or attend one of the frequent onsite cultural festivals, celebrations, and community volunteer opportunities.

Location: Pune, India
Travel: None