Description

You will build and deploy production-ready AI systems and intelligent applications.

Responsibilities

• Design and deploy machine learning models and automated pipelines.
• Build intelligent applications using Langchain and LLMs.
• Implement MLOps workflows for model training, deployment, and monitoring.
• Ensure model reproducibility and performance at scale.

Required Skills

• 5+ years of experience in machine learning engineering.
• Proficiency in Python.
• Experience with Scikit-learn, TensorFlow, or PyTorch.
• Hands-on work with Langchain and LLM integration.
• Experience with MLOps tools such as MLflow, Kubeflow, or DVC.
• Competency with Docker, Git, and CI/CD workflows.
• Experience working within cloud environments (AWS, GCP, or Azure).
• Any Graduate degree.

Key Skills

Education

Any Graduate