Machine Learning Engineer

Job Description :

Key Responsibilities :

- Design, develop, and deploy deep learning models for real-world applications.

- Work on cutting-edge AI solutions including AI Agents, Agentic AI, RAG (Retrieval-Augmented Generation), Search, and Copilot systems.

- Develop and optimize solutions using Large Language Models (LLMs) such as GPT, BERT, and Transformer-based architectures.

- Implement and train models using deep learning frameworks like TensorFlow and PyTorch.

- Deploy AI/ML models in production environments using Docker, Kubernetes, and cloud platforms.

- Collaborate closely with product managers, engineers, and stakeholders to understand requirements and translate them into scalable AI solutions.

- Follow software engineering best practices including clean coding standards, code reviews, version control, CI/CD, testing, and monitoring.

- Document technical designs, experiments, and model performance clearly.

Required Skills & Qualifications :

- Bachelors degree in Computer Science or a related quantitative field from a Tier 1 institution.

- Minimum 1.5 years of hands-on experience in Deep Learning with a strong project track record.

- Strong understanding of LLMs, Transformers, and modern NLP techniques.

- Experience with TensorFlow and/or PyTorch.

- Familiarity with cloud-native deployments using Docker and Kubernetes.

- Solid foundation in software engineering best practices (SCM, CI/CD, testing, builds).

- Strong communication skills to collaborate with technical and non-technical stakeholders.

Good to Have :

- Experience with AI Agents, Agentic AI frameworks, RAG pipelines, enterprise search, or Copilot systems.

- Exposure to cloud platforms (AWS, GCP, Azure).

- Experience working in Agile development environments.