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    Senior Lead Data Scientist - Chennai, India - Mindsprint

    Mindsprint
    Mindsprint Chennai, India

    1 week ago

    Default job background
    Accounting / Finance
    Description

    Key Responsibilities:

    1. Utilize advanced statistical and machine learning techniques to analyze large-scale datasets and extract meaningful insights.
    2. Develop and implement machine learning algorithms and models for Generative AI applications, with a focus on creating intelligent and creative content.
    3. Work closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
    4. Collaborate with machine learning engineers to design and train deep learning models using Python programming language and frameworks such as TensorFlow and PyTorch.
    5. Apply natural language processing (NLP) techniques to enhance the understanding and generation of human-like text and dialogue.
    6. Utilize cloud computing platforms including Azure, Google Cloud Platform (GCP), and Amazon Web Services (AWS) to deploy and scale machine learning models effectively.
    7. Design and conduct experiments to evaluate model performance, fine-tune parameters, and optimize algorithms for improved results.
    8. Document methodologies, results, and findings in a clear and concise manner, and communicate insights to stakeholders effectively.

    Required Skills and Qualifications:

    1. Bachelors degree or higher in Data Science, Computer Science, Artificial Intelligence, or a related field with a focus on Generative AI.
    2. Proven experience of atleast 8+ years in applying advanced machine learning techniques to real-world problems, with a strong background in data analysis and modeling.
    3. Proficiency in Python programming language and deep learning libraries such as TensorFlow, PyTorch, or Keras.
    4. Hands-on experience with cloud computing platforms such as Azure, GCP, and AWS, including knowledge of relevant services for machine learning model deployment.
    5. Solid understanding of natural language processing (NLP) concepts and techniques, with experience applying NLP to real-world datasets.
    6. Excellent problem-solving skills and the ability to work independently as well as part of a team.
    7. Strong communication and collaboration skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
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