What you’ll do:
- Senior Analyst AI/ML Engineer- - Role Overview-
- You will work closely with senior AI/ML engineers, data scientists, and platform teams to build, experiment with, and operationalize machine learning solutions on enterprise scale data platforms.- - Key Responsibilities- Assist in building and training machine learning models for structured and unstructured data use cases
- Perform data analysis, preprocessing, and feature engineering on large datasets
- Support experimentation using AutoML and custom ML approaches
- Evaluate model performance and assist in tuning for accuracy and robustness
- Work with AI/ML platforms and tools for model development and experimentation
- Collaborate with engineers and analysts to understand business problems and translate them into ML tasks
- Document experiments, learnings, and model outcomes clearly
- Follow best practices for responsible AI, data governance, and security

Qualifications:
- Bachelor’s degree in Engineering (B.E./B.Tech),



4 to 7 years of work experience.

Skills:
- o Artificial Intelligence- o Machine Learning- o Data Science- o Computer Science (with strong AI/ML coursework)- Robust fundamentals in:
- Machine Learning algorithms- o Statistics and linear algebra- o Data structures and basic algorithms- Working knowledge of Python
- Familiarity with ML libraries such as:
- scikit learn- o TensorFlow or PyTorch (basic exposure is sufficient)- Basic understanding of SQL and working with datasets
- - Good to Have- Exposure to:
- Cloud platforms (Azure / AWS / GCP)- o Data platforms like Snowflake- o ML lifecycle concepts (training, evaluation, deployment)- Academic or personal projects involving:
- Predictive modeling- o NLP or computer vision- o Time series forecasting- Familiarity with notebooks, Git, or basic MLOps concepts

📌 Senior Analyst (Pune)
🏢 Eaton
📍 Pune