AI/ML Engineer (Q- 2, 2026 )

About the role

Proficiency in programming languages such as Python / C++ / R / Scala, with experience in building machine learning and deep learning models libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, Spark MLlib, OpenCV, scipy, nltk, transformers, langchain, etc. Solid understanding of machine learning concepts and techniques, including supervised, unsupervised, and reinforcement learning algorithms.

What you'll do

• Design, build, and deploy machine learning models (supervised, unsupervised, deep learning)
• Develop and optimize data pipelines for model training and inference
• Implement and maintain production-ready ML systems (MLOps)
• Work with large datasets: data cleaning, feature engineering, transformation
• Evaluate model performance and continuously improve accuracy and efficiency

What you need

• 4–5 yrs of experience
• Machine learning
• Python
• Scikit-learn
• SQL
• Deep learning
• Pandas
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• Hadoop
• Java
• Microservices
• LLMs
• NLP
• Computer vision