Artificial Intelligence Engineer - LLM

Position Overview :

Key Responsibilities :

- Design, develop, and implement AI/ML-based solutions using Python.

- Apply Large Language Models (LLMs) to build and optimize NLP-based services.

- Preprocess large datasets, engineer features, and evaluate model performance.

- Collaborate with senior engineers to productize ML models into scalable services.

- Participate in end-to-end ML workflows - from data ingestion to model deployment.

- Work on REST APIs and service integration using frameworks like Flask or Django.

- Stay up to date with the latest research and advancements in AI, deep learning, and LLMs.

Required Qualifications & Skills

- Proficiency in Python, especially for ML development.

- Hands-on experience with TensorFlow, PyTorch, or similar ML frameworks.

- Exposure to LLMs such as GPT, LLaMA, BERT, etc., and understanding of transformer architectures.

- Experience working on NLP tasks like text classification, summarization, Q&A, or chatbots.

- Understanding of neural networks, deep learning concepts, and model evaluation techniques.

- Familiarity with MongoDB and other NoSQL/SQL databases.

- Experience with version control (Git), containerization (Docker), and cloud platforms (AWS, GCP, Azure) is a plus.

- Strong analytical and problem-solving skills with a results-oriented mindset.

- Ability to work independently and collaboratively in Agile/Scrum teams.

- Excellent written and verbal communication skills.

Educational Qualifications :

Undergraduate :

- BCA in Computer Applications

Postgraduate (preferred) :

- M.Tech in Computer Science

- MCA, MS/M.Sc in Computer Science or related disciplines