- Deep Learning Engineer Department:
Artificial Intelligence / Machine Learning
Location: Mumbai/Pune/Chandigarh/Remote
Employment Type: Full-time
POSITION OVERVIEW
We are seeking a highly skilled and experienced Deep Learning Engineer to join our AI-CoE team. The successful candidate will be responsible for developing, integrating, and optimiz ing advanced AI solutions leveraging deep learning architectures and large language models (LLMs). This role requires a strong foundation in machine learning algorithms, modern AI frameworks and experience working in enterprise-scale environments.
KEY RESPONSIBILITIES
Design, implement, and deploy Deep Learning models for enterprise AI initiatives.
Develop and optimize LLM-based systems including Retrieval-Augmented Generation (RAG), Agent Orchestration, and context Memory Management.
Integrate and fine-tune LLM APIs (OpenAI, Anthropic, Google Gemini, Mistral etc.) with vector databases such as Pinecone, Chroma, FAISS etc.
Build scalable and modular AI pipelines using frameworks such as LangChain, LlamaIn dex, AutoGen, or CrewAI.
Conduct experimentation, evaluation, and performance tuning of AI models using Py Torch/TensorFlow/JAX.
Collaborate with data engineering and infrastructure teams to ensure seamless deploy ment in cloud environments (AWS/GCP/Azure).
Utilize Docker and Kubernetes for model containerization, deployment, and life-cycle management
QUALIFICATIONS AND EXPERIENCE
Education: MS/M.Tech/Ph.D. in ComputerScience, Artificial Intelligence, Data Science or a related discipline
Technical Expertise:-
Strong proficiency in Python and AI development libraries.
- Solid understanding of Deep learning and Machine Learning algorithms and their practical implementations.
- Hands-on experience with AI frameworks
- Proficiency with AI orchestration
- Working knowledge of vector databases
- Familiarity with cloud computing platforms and containerization technologies
PREFERRED SKILLS AND ATTRIBUTES
Experience in prompt engineering, LLM fine-tuning, and context optimization.
Strong analytical and problem-solving skills with attention to detail.
Proven ability to work collaboratively within multidisciplinary teams.
Excellent communication and documentation abilities
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