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    Job · 10972969

    MUMBAI · FULLTIME

    Artificial Intelligence Engineer

    Pixeldust Technologies logo

    Pixeldust Technologies

    Mumbai · onsite · Posted 71d ago

    Sourced fromFoundit
    Not disclosed3–5 yrsfulltimeMumbai

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    Section · 01

    About this role

    Role Overview:

    We are seeking an experienced AI Engineer with a strong background in Natural Language Processing (NLP), Machine Learning (ML) and Large Language Models (LLMs). The ideal candidate will have hands-on expertise with modern AI frameworks, vector databases and cloud based ML platforms with a focus on building and deploying scalable high performing solutions.

    Key Responsibilities:

    • Design, develop and deploy NLP and ML models for real world applications.
    • Work extensively with LLM frameworks, Hugging Face Transformers, LangChain Lama Index, OpenAI API, Vertex AI.
    • Fine tune large language models embeddings and optimize vector search using FAISS, Pinecone, Weaviate, Milvus or Vertex AI Matching Engine.
    • Perform data preprocessing statistical analysis and experiment design to validate models.
    • Collaborate with cross functional teams engineering product business to deliver AI driven solutions.
    • Leverage cloud ML platforms GCP preferred to build and scale production grade ML pipelines.
    • Continuously research and adopt state of the art techniques in NLP ML and LLMs.

    Required Skills and Qualification:

    • Proven experience as a AI Engineer having 3-4 years of experience with a strong focus on NLP and ML.
    • Hands-on experience with LLM frameworks and libraries - Hugging Face Transformers, LangChain, LamaIndex, OpenAI API and Vertex AI.
    • Strong programming skills in Python with ML AI libraries - PyTorch, TensorFlow and Scikit learn.
    • Experience in fine tuning LLMs embeddings and vector databases - FAISS Pinecone, Weaviate, Milvus, Vertex AI Matching Engine.
    • Proficiency in data analysis statistics and experiment design.
    • Strong understanding of cloud ML platforms - GCP preferred.
    • Excellent problem solving analytical and communication skills.
    • Strong debugging, troubleshooting, and problem-solving skills.
    • Excellent collaboration abilities.

    Good to Have Skills:

    • Exposure to MLOps practices - CI CD for ML monitoring deployment.
    • Experience with other cloud platforms - AWS and Azure.
    • Knowledge of reinforcement learning and generative AI applications.

    What We Offer:

    • Competitive salary and benefits package.
    • Opportunity to work on cutting-edge security challenges.
    • A collaborative and growth-oriented work environment with opportunities for career development.

    Sourced from foundit

    Section · 02

    Skills

    google cloud platformFAISSWeaviateHugging Face TransformersOpenAI SDKGoogle Vertex AIPytorchTensorflowLamaIndexPythonPinecone DBMilvusDBLangchain

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