Description

Design, develop, and deploy scalable AI/ML solutions, including predictive modeling, recommendation systems, and intelligent automation.

This role is on-site.

Responsibilities

• Build and automate data processing, model training, validation, deployment, and monitoring pipelines for production environments.
• Own the full AI/ML lifecycle, including experimentation, development, drift detection, retraining, and optimization.
• Implement MLOps and CI/CD workflows for AI/ML systems, ensuring testing, versioning, and model governance.
• Translate business problems into AI-driven solutions by collaborating with data scientists, engineers, and product teams.

Required Skills

• 5+ years of experience in AI/ML engineering, data science, or a related field.
• Strong grounding in statistical modeling and AI/ML concepts (supervised/unsupervised learning).
• Proficiency in Python for data processing, model development, and production ML services.
• Experience with SQL for querying, transforming, and analyzing large datasets.
• Hands-on experience building and deploying AI/ML solutions in production environments.

Preferred Skills

• Experience with ML frameworks such as PyTorch and TensorFlow.
• Gen AI experience, specifically LLM-based applications and related implementation work.

Key Skills

Education

Any Graduate