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    Job · 22286057

    Quinnox logo

    Ai Ml Engineer

    Quinnox · Mumbai · hybrid · Posted 3d ago

    Undisclosed5–10 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    IMMEDIATE JOINERS


    Role- AI ML Engineer

    Experience- 5+ years

    Location - Bangalore & Mumbai

    Work Mode - Hybrid

    Shift Timings - 2nd Shift


    JD:

    AI & ML Developer with 68 years of experience in machine learning, deep learning, and Generative AI solutions. The ideal candidate will design, develop, and deploy AI/ML models, including Large Language Model (LLM)-based applications, to solve complex business problems.

    This role requires hands-on experience in model development, fine-tuning, deployment, and integration of AI solutions into enterprise systems.

    Key Responsibilities

    Machine Learning Development

    • Design, develop, and deploy ML models for predictive analytics and automation.
    • Perform data preprocessing, feature engineering, and model evaluation.
    • Implement supervised and unsupervised learning algorithms.
    • Optimize model performance and scalability.

    Generative AI & LLM Implementation

    • Build and deploy LLM-based applications using frameworks such as LangChain or LlamaIndex
    • Implement RAG (Retrieval-Augmented Generation) pipelines.
    • Integrate models from OpenAI, Hugging Face, or open-source LLMs.
    • Develop prompt engineering strategies and optimize response quality.
    • Work on embeddings, vector databases, and semantic search implementations.

    Deployment & MLOps

    • Deploy models using APIs or microservices architecture.
    • Containerize applications using Docker.
    • Implement CI/CD for ML pipelines.
    • Monitor model performance and retrain as required.
    • Work with cloud platforms such as Azure/AWS/GCP for AI deployments.

    Collaboration & Documentation

    • Work closely with data engineers, business analysts, and product teams.
    • Translate business use cases into AI-driven solutions.
    • Document model design, architecture, and deployment processes.

    Technical Skills Required

    • Strong proficiency in Python
    • Experience with ML libraries (Scikit-learn, TensorFlow, PyTorch)
    • Hands-on experience with NLP and LLM concepts
    • Experience with vector databases (e.g., FAISS, Pinecone, or similar)
    • API development using FastAPI or Flask
    • Experience with Git and version control
    • Understanding of data structures, algorithms, and statistics

    Required Qualifications

    • Bachelors/Master’s degree in Computer Science, Data Science, AI, or related field
    • 6–8 years of experience in ML/AI development
    • Strong analytical and problem-solving skills
    • Experience working in Agile/Scrum environments
    • Good communication and collaboration skills


    Thank you

    Aswini V - HR


    Sourced from naukri

    Skills

    AimlRetrieval Augmented GenerationComputer Visionamazon web servicesNatural Language ProcessingLarge Language Models (LLMs)PytorchPythonGenerative AiFastAPI

    About Quinnox

    Quinnox logo

    Quinnox

    IT Services & Consulting

    1.5k+

    employees

    2002

    24 years old

    Chicago, Illinois

    United States (USA)

    ₹12.7L PA avg

    Avg at Quinnox

    About

    Quinnox is a platform and solutions company. With the power of human and applied intelligence, we simplify business processes, improve customer experiences and create exceptional business value for forward-thinking enterprises. With the combination of cognitive solutions, conversational platforms, SaaS solutions, human and applied intelligence, we capitalize on new technologies to accelerate growth, innovation, efficiency and resilience. Our data-driven digital solutions unlock the hidden potential of your business across your digital value chain, helping to accelerate success, today and tomorrow.

    Industries

    IT Services & Consulting

    Employee ratings

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    Culture

    4.8

    Career growth

    4.2

    Work-life

    4.6

    Employees rate it well for

    Work-Life Balance38Overall Company38

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