MA

Data Scientist

Mahindra&Mahindra

8 months ago

3 - 5 years

Work From Office

Mumbai, Maharashtra, Maharashtra, India

  • Developing End-to-End solutions with teammates and working with stakeholders, data team, business team and product team.
  • Ensuring the quality and availability of data for model training and validation can be a significant challenge. This includes dealing with missing, unstructured, or inconsistent data.
  • Developing models that perform well in real-world scenarios is a complex task. It requires rigorous testing, validation, and continuous optimization.
  • PYTHON

    SQL

    Jupyter Notebook

    Azure

    AWS Cloud

    PySpark

    Tensorflow

    Pytorch

    AI/ML

    Large Language Models (LLM)

    Reinforcement Learning

    Computer Vision

    Deep Learning

    Natural Language Processing (NLP)

    Job description & requirements

    Responsibilities:


    'Deploying AI/ML solution to productions and generating value from it. 

    Developing End-to-End solutions with teammates and working with stakeholders, data team, business team and product team. 

    Helping dev-ops team to deploy and integrate solution with existing systems

    •   Data Quality and Availability: Ensuring the quality and availability of data for model training and validation can be a significant challenge. This includes dealing with missing, unstructured, or inconsistent data.

    •   Model Performance: Developing models that perform well in real-world scenarios is a complex task. It requires rigorous testing, validation, and continuous optimization.

    •   Scalability: Scaling AI solutions to handle large volumes of data and integrate with various business functions can be technically challenging.

    •   Keeping Up with Rapid Advances: The field of AI is advancing rapidly. Keeping up with the latest research, techniques, and tools can be demanding.

    •   Ethical and Regulatory Compliance: Ensuring that AI models are transparent, fair, and comply with all relevant regulations and ethical guidelines is a critical challenge. This includes understanding and mitigating potential biases in AI models.


    Experience

    2 - 4 years


    Industry Preferred


    Qualifications

    Master’s in science, Stats, ML, DS/ Bachelors in Engg, Tech – DS, Comp Sci


    General Requirements


    Functional Skills:

    • 'Working knowledge of Data Science toolbox like: Python, SQL, Jupyter Notebook, Azure/AWS cloud, PySpark, TensorFlow, PyTorch, Keras, and other Big Data toolkit
    • Deep understanding of AI/ML models with experience in LLM, Reinforcement Learning, Computer Vision, and Deep Learning 
    • Expertise in NLP, Computer Vision, Speech technology(STT, TTS) 

    Behavioural Skills:

    • 'Ability to connect technology with business goals and outcomes.
    • A hustler who constantly likes to go into design-build-deploy cycle for innovative new idea
    • A Problem solving mindset for trying out new ideasResult orientation with execution excellence
    • Customer Focus
    • Weaving passion and energy at work 
    • Can Do and Will Do attitude


    Experience :

    3 - 5 years

    Job Domain/Function :

    Data Science

    Job Type :

    Work From Office

    Employment Type :

    Full Time

    Number Of Position(s) :

    1

    Educational Qualifications :

    Bachelor's Degree

    Location :

    Mumbai, Maharashtra, India, Mumbai, Maharashtra, India

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