Intern- Data Science

Key Skills

AWS, Data management, Data science techniques, Git, Google Cloud Platform (GCP), Java Programming, Kubeflow, Machine learning techniques, MLflow, MLOps tools, Python Programming, PyTorch, Scala Programming, Scikit-learn, SQL, TensorFlow

Job Description

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.