What You’ll Do
We are looking for a motivated and hands-on AI/ML Engineer with 4-5 years of experience to join our Artificial Intelligence and Machine Learning (AIML) team. The ideal candidate possesses strong foundations in machine learning, statistics, and software engineering, along with exposure to up-to-date data platforms and MLOps practices.
In this role, you will collaborate with AI/ML engineers, data scientists, data engineers, and platform teams to design, develop, and operate machine learning solutions on enterprise-scale data ecosystems. You will contribute across the ML lifecycle, including data preparation, feature engineering, model development, experimentation, deployment, monitoring, and continuous improvement.
The position offers opportunities to work with large-scale datasets, cloud technologies, data engineering workflows, and AI/ML platforms while delivering impactful solutions to real-world business challenges.
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
Collaborate with Data Engineering teams to build and maintain scalable data pipelines for ML training and inference workloads.
Support data ingestion, transformation, and feature preparation workflows on enterprise data platforms such as Snowflake.
Assist in operationalizing machine learning models through CI/CD pipelines and MLOps best practices.
Participate in monitoring, testing, and maint
📌 Senior Analyst (Pune)
🏢 Eaton
📍 Pune