eClerx
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).
Company: eClerx
Role: Deep Learning Engineer
Location: Mumbai/Pune/Chandigarh/Remote
Role Focus: • 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 with vector databases • Build scalable and modular AI pipelines • Conduct experimentation, evaluation, and performance tuning of AI models • Collaborate with data engineering and infrastructure teams to ensure seamless deployment in cloud environments • Utilize Docker and Kubernetes for model containerization, deployment, and life-cycle management
AI development libraries, Machine Learning algorithms, AI frameworks, AI orchestration, vector databases, cloud computing platforms, containerization technologies, AutoGen, CrewAI, OpenAI, Anthropic, Google Gemini, Mistral, Pinecone, Chroma, FAISS
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Python for Everybody Specialization
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Python 3 Programming Specialization
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