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    Principal Data Scientist - Gurgaon, India - IndiGo (InterGlobe Aviation Ltd)

    IndiGo (InterGlobe Aviation Ltd)
    IndiGo (InterGlobe Aviation Ltd) Gurgaon, India

    2 days ago

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    Description
    Job Summary

    IndiGo, India's leading passenger airline, renowned for its commitment to low fares, punctuality, and exceptional customer experience, is hiring for Lab 37, a pioneering team dedicated to innovation and technological advancement.

    As a Principal Data Scientist within Lab 37, you will lead the strategic vision and execution of cutting-edge AI/ML initiatives.

    Your role will be pivotal in shaping the direction of Lab 37, driving transformative change within the organization, and furthering Indigo's leadership in the dynamic aviation industry.


    Job Responsibilities:


    Provide visionary leadership and strategic direction to Lab 37, overseeing the development and implementation of innovative AI software solutions and applications.

    Lead the translation of state-of-the-art research into scalable and robust AI software, ensuring seamless integration into existing digital systems and processes.

    Drive the enhancement of AI/Machine Learning models through advanced experimentation and analysis, closely aligning them with business objectives and requirements.

    Collaborate closely with cross-functional teams within the Digital function and across the organization to identify complex challenges and develop effective solutions that drive operational efficiency and business growth.

    Foster a culture of collaboration, innovation, and excellence within Lab 37, nurturing the professional development and growth of team members.

    Serve as a mentor and thought leader, providing guidance and expertise to junior team members, including freshers and interns.

    Qualification Requirements:

    Educational:
    Advanced degree (Master's or Ph.
    D.) in Computer Science, Data Science, Machine Learning, or a related field, with a minimum of 10+ years of relevant experience.
    Demonstrated expertise in deep learning techniques through academic research or practical application.

    Technical:


    Extensive experience leading AI/ML projects in an industrial setting, with a focus on Python programming and deep learning frameworks such as TensorFlow and PyTorch.

    Proven track record of building and deploying production-level deep learning models, including Feed Forward neural networks, CNNs, LSTMs, GANs, and Transformers.

    Proficiency in deploying optimized ML models using frameworks such as tensorrt, ONNX, or Triton Inference Server, with efficient APIs.

    Strong background in developing predictive models on large tabular data sets or solving complex ML problems in NLP or CV domains.

    Familiarity with Snowflake, Databricks, and expertise in container technologies (Kubernetes, Docker) is preferred.
    Proficiency in at least one cloud platform (AWS, Azure, GCP) is required.
    Exceptional attention to detail with the ability to produce accurate engineering documentation.

    Other:
    Excellent written and verbal communication skills in English.
    Commitment to fostering diversity, equity, and inclusion in the workplace.
    Proven leadership skills with a track record of successfully leading cross-functional teams.
    Strategic thinker capable of driving innovation and change in a dynamic environment.
    Ability to work independently and under pressure to meet tight deadlines.

    "At IndiGo, we believe in the innate strength of an energetic, diverse, and inclusive workforce, where the viewpoints and life experiences of our employees help us foster strong connections with all our customers.

    Our diversity equity and inclusion efforts are designed to attract, nurture, and advance the lives of our employees and customers irrespective of their – but not limited to - gender, race, color, religion, caste, creed, ethnicity, origin, language, social and economic status, sexual orientation, differently-abled status, marital status, nationality, age, family status, and maternity status.

    "
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