Associate Process Manager
eClerx
Mumbai0–5 yrs4h agovia Naukri
This job at a glance
- Who can apply
- Freshers and up to 5 years · M.Tech
- Must know
- Deep learningData structures & algorithmsMachine learningREST APIsPyTorchTensorFlow
- Nice to have
- LLMs
- Work
- On-site in Mumbai
- Pay
- Not stated by the employer.
- Skill demand
- REST APIs3%of 98 similar fresher jobs posted in India this week
- Listed
- 11 Nov 2026 · still open
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About the Role
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 optimizing 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) with vector databases such as Pinecone, Chroma, FAISS.
- Build scalable and modular AI pipelines using frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI.
- Conduct experimentation, evaluation, and performance tuning of AI models using PyTorch/TensorFlow/JAX.
- Collaborate with data engineering and infrastructure teams to ensure seamless deployment 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 Computer Science, Artificial Intelligence, Data Science or a related discipline.
- 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.