Lead AI ML Engineer - Ahmedabad - Armakuni

    Armakuni
    Armakuni Ahmedabad

    13 hours ago

    ₹2,500,000 - ₹6,500,000 (INR) per year * Technology / Internet
    Description

    We are seeking Lead AI/ML Engineers with 5 to 13 years of experience in implementing, deploying, and scaling AI/ML solutions. This role involves working with generative AI, machine learning, deep learning, and data science to solve business challenges by designing, building, and maintaining scalable and efficient AI/ML applications.

    Key Responsibilities:

    AI:

    • Architect scalable Generative AI and Machine Learning applications using AWS Cloud and other cutting-edge technologies.
    • Extensive experience with LLMs and various prompt engineering techniques.
    • Fine-tune and build custom LLMs.
    • Deep understanding of LLM architecture and internal mechanisms.
    • Experience with LangChain, LangGraph, LangFuse, Crew AI, LLM output evaluation, and agentic workflows.
    • Build RAG (Retrieval-Augmented Generation) pipelines and integrate them with traditional applications.

    Data Science & Machine Learning:

    • Solve complex data science problems and uncover insights using advanced EDA techniques.
    • Implement automated pipelines for data cleaning, preprocessing, and model re-training.
    • Hands-on experience with model experiment tracking and validation techniques.
    • Deploy, track, and monitor models using AWS SageMaker.
    • Strong knowledge of fundamental machine learning concepts, including supervised and unsupervised learning, deep learning, CNNs, and RNNs.
    • Proficiency in database management for efficient data storage and retrieval.
    • Experience with data warehouses and data lakes.

    Computer Vision:

    • Work on complex computer vision problems, including image classification, object detection, segmentation, and image captioning.

    Skills & Qualifications:

    • 2-3 years of experience in implementing, deploying, and scaling Generative AI solutions.
    • 3-7 years of experience in NLP, Data Science, Machine Learning, and Computer Vision.
    • Proficiency in Python and ML frameworks such as Langchain, Langfuse, LLAMA Index, Langgraph, Crew AI, and LLM output evaluations.
    • Experience with AWS Bedrock, OpenAI GPT models (GPT-4, GPT-4o, GPT-4o-mini), and LLMs such as Claude, LLaMa, Gemini, and DeepSeek.
    • Experience with vector databases like Pinecone, OpenSearch, FAISS, and Chroma, with a strong understanding of indexing mechanisms.
    • Expertise in forecasting, time series analysis, and predictive analytics.
    • Experience with classification, regression, clustering, and other ML models.
    • Proficiency in SageMaker for model training, evaluation, and deployment.
    • Hands-on experience with ML libraries such as Scikit-learn, XGBoost, LightGBM, and CatBoost.
    • Experience with deep learning frameworks such as PyTorch and TensorFlow.
    • Familiarity with Docker, Uvicorn, FastAPI, and Flask for REST APIs.
    • Proficiency in SQL and NoSQL databases, including PostgreSQL and AWS DynamoDB.
    • Experience with caching technologies such as Redis and Memcached.

    Looking forward to hearing from you.

    * This salary range is an estimation made by beBee
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