AddressAbout our group:
Our organization specializes in Global Data Analytics and provides comprehensive solutions for Big data, Generative-AI, and MLOps frameworks and deployments. We are a proactive, solution-focused, and collaborative team that partners with various business groups across the organization to deliver end to end solutions.
About the role - you will:
- Assist with implementing end to end ML pipelines and deliver scalable production Machine learning services
- 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
About you:
- 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 HiTech 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
Your experience includes:
- 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
Location:
Location: 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 400+ 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
