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    Data Scientist - Noida, India - HCLTech

    HCLTech
    HCLTech background
    Description

    Job Requirements:

    Work location: Bangalore, Chennai and Noida

    Experience: 14+ years

    We are looking for Data Scientist 14 + years experienced with 10 + Years in data science, with expertise in Gen AI/LLM, Machine Learning, MLOps, and ML in cloud platforms such as AWS, Azure, and GCP. The ideal candidate will have a strong background in developing and deploying machine learning models, managing data pipelines, and working with large-scale datasets. Experience with Anomaly detection, data drift detection, generative AI, and large language model projects in AWS is highly desirable.

    Responsibilities:

    Work as individual contributor.

    Develop and deploy machine learning models for various applications. E.g. Anomaly detection and

    other diverse requirements.

    Design and implement data pipelines for processing and analyzing large-scale datasets.

    Collaborate with teams to integrate AI capabilities into products and services.

    Implement MLOps practices for model training, deployment, and monitoring.

    Utilize cloud platforms (AWS, Azure, GCP) for machine learning and data science projects.

    Expertise in AWS Sagemaker or Azure ML or Google AI.

    Implement solutions for data drift detection and management.

    Explore and implement generative AI techniques for creative applications.

    Contribute to large language model projects, such as building and fine-tuning models.

    Requirements:

    Bachelor's or Master's degree in Computer Science, Data Science, or related field.

    Proven experience in developing and deploying machine learning models.

    Experience in LLM based project on Azure Open AI, LLAMA2, AWS Bedrock or Google Gemini

    Completed a project in, Text generation, Summarization, Semantic search, Image generation, RAG

    Familiar with vector database

    Strong programming skills in languages such as Python

    Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.

    Familiarity with MLOps practices and tools.

    Experience with cloud platforms (AWS, Azure, GCP) for machine learning projects.

    Knowledge of data drift detection techniques and tools.

    Experience with generative AI techniques and projects.

    Experience with large language model/Gen AI projects is a plus.

    Strong problem-solving and analytical skills.

    Excellent communication and teamwork skills.


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