Description

You will design, develop, and optimize machine learning models and generative AI applications for production use.

Responsibilities

• Design and optimize ML models across supervised, unsupervised, deep learning, and reinforcement learning domains.
• Build NLP pipelines for text generation, summarization, and translation using language models.
• Develop and deploy generative AI and Agentic AI applications using frameworks like Langgraph, ADK, or Autogen.
• Implement MLOps practices covering model training, evaluation, deployment, and monitoring.
• Manage the end-to-end ML lifecycle from data processing through to scalable production deployment.

Required Skills

• 5+ years of experience in machine learning engineering and AI development.
• Deep expertise in Python, TensorFlow, and PyTorch.
• Hands-on experience with NLP, transformers, and diffusion models.
• Proven understanding of generative AI concepts and Agentic AI frameworks.
• Experience with MLOps and ML model deployment pipelines.
• Knowledge of cloud platforms (AWS, GCP, Azure) for scalable ML infrastructure.
• Bachelor's or Master's degree in a relevant field.

Key Skills

Education

Bachelor's or Master's degrees