Description

You will design, develop, and optimize machine learning models for various applications.

Responsibilities

• Design, develop, and optimize machine learning models for applications across different domains.
• Build natural language processing pipelines for tasks like text generation, summarization, and translation.
• Develop and deploy generative AI and Agentic AI applications.
• Implement MLOps practices, covering model training, evaluation, deployment, and monitoring.
• Manage the end-to-end ML lifecycle from data processing through to production deployment.

Required Skills

• 5+ years of experience in machine learning engineering and AI development.
• Deep expertise in machine learning algorithms (supervised, unsupervised, deep learning, reinforcement learning).
• Solid experience with Natural Language Processing (NLP), including language models and text generation.
• Proven understanding of generative AI concepts like transformers and diffusion models.
• Hands-on experience developing and deploying generative AI applications.
• Experience with Agentic AI frameworks such as Langgraph, ADK, or Autogen.
• Proficiency in Python and ML frameworks like TensorFlow and PyTorch.
• Experience with MLOps and ML model deployment pipelines.
• Knowledge of cloud platforms (AWS, GCP, Azure) for scalable ML deployment.

Key Skills

Education

Bachelor's or Master's degrees