Machine Learning Module Lead

Detailed JD:

Must Have

• Proven experience in applied Machine Learning, including deployment of models into production.

• Strong understanding of supervised and unsupervised algorithms such as Regression, ARIMA, k-NN, k-Means Clustering, and NLP techniques.

• Proficiency in Python, with expertise in libraries such as Scikit-learn, TensorFlow, Hugging Face Transformers, OpenAI API, and BART.

• Solid knowledge of data preprocessing, statistical modeling, and visualization using Pandas, NumPy, and Matplotlib.

• Familiarity with Generative AI concepts and implementation using OpenAI or similar LLM platforms.

• Strong analytical and problem-solving mindset with a detail-oriented and structured approach.

Good to have

• Experience with cloud computing platforms (AWS) — S3, EC2, SageMaker, Lambda.

• Familiarity with Snowflake data lake architecture and data warehousing concepts.

• Working knowledge of Docker, CI/CD pipelines, and model deployment workflows.

• Understanding of web scraping and automation frameworks such as Selenium.

• Exposure to AI/ML use cases in manufacturing or industrial automation.

Total Experience Expected: 04-06 years