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    Home/Jobs/Deep Learning Engineer

    Deep Learning Engineer

    eClerx

    Mumbai / Pune / Chandigarh
    3-5 years
    Today
    ₹13–25 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    LangChain
    LlamaIndex
    LLM fine-tuning
    OpenAI
    Anthropic
    Google Gemini
    Mistral
    Vector Database
    AutoGen
    Pinecone

    Description

    Seeking a skilled Deep Learning Engineer to join eClerx's AI-CoE team to develop and optimize advanced AI solutions using deep learning and large language models.

    Company: eClerx

    Role: Deep Learning Engineer

    Location: Mumbai/Pune/Chandigarh/Remote

    Experience:

    • Experience working in enterprise-scale environments
    • Proven ability to work collaboratively within multidisciplinary teams

    Key Skills:

    • Deep Learning
    • Machine Learning algorithms
    • Large Language Models (LLMs)
    • Python
    • AI development libraries
    • OpenAI API
    • Anthropic API
    • Google Gemini
    • Mistral
    • Vector databases (Pinecone, Chroma, FAISS)
    • LangChain
    • LlamaIndex
    • AutoGen
    • CrewAI
    • PyTorch
    • TensorFlow
    • JAX
    • Cloud platforms (AWS, GCP, Azure)
    • Docker
    • Kubernetes
    • AI orchestration
    • Prompt engineering
    • LLM fine-tuning
    • Context optimization

    Qualification:

    • MS in Computer Science, Artificial Intelligence, Data Science or related discipline
    • M.Tech in Computer Science, Artificial Intelligence, Data Science or related discipline
    • Ph.D. in Computer Science, Artificial Intelligence, Data Science or related discipline

    Role Focus:

    • Design, implement, and deploy Deep Learning models for enterprise AI initiatives
    • Develop and optimize LLM-based systems including Retrieval-Augmented Generation, Agent Orchestration, and context Memory Management
    • Integrate and fine-tune LLM APIs with vector databases
    • Build scalable and modular AI pipelines using modern AI frameworks
    • Conduct experimentation, evaluation, and performance tuning of AI models
    • Collaborate with data engineering and infrastructure teams for cloud deployment
    • Utilize Docker and Kubernetes for model containerization, deployment, and lifecycle management

    Additional responsibilities:

    • Documentation and communication of AI model development
    • Ensuring seamless deployment in cloud environments

    Nice to have:

    • Experience in prompt engineering
    • Experience in LLM fine-tuning
    • Experience in context optimization
    • Strong analytical and problem-solving skills
    • Excellent communication and documentation abilities

    Other:

    • eClerx is a global leader in productized services with over 18,000 employees worldwide
    • Company mission to set the benchmark for client service and success
    • Company vision to be the innovation partner of choice for technology, data analytics, and process management services
    • Equal Opportunity Employer with non-discriminatory hiring practices
    • eClerx Digital focuses on creative production, e-commerce/web operations, and analytics and insights services
    • Company partners with top companies across financial services, telecommunications, retail, and high-tech industries
    • Focus on smart automation and data-driven insights
    • Emphasis on nurturing talent and providing hands-on experience

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

    Functions, Tools and Agents with LangChain

    Coursera

    Advanced LangChain covering function calling, tool use, and conversational agents.

    Large Language Models: Application through Production

    edX

    Production-focused LLM course covering deployment, monitoring, and scaling.

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