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8 Weeks ago

Data Scientist-I

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400000 - 800000 INR - Annual
Ahmedabad, Gujarat, India
Information Technology
Other
GreenStitch

Overview

Link to apply - https://buttercup-port-e99.notion.site/Data-Scientist-I-1a055756b65e80f38c64cb537f94d010

About Us

At GreenStitch, we are on a mission to revolutionise the fashion and textile industry through cutting-edge climate-tech solutions. We are looking for a highly skilled Data Scientist-I with expertise in NLP and Generative AI to drive innovation in our data-driven applications. This role requires a strong foundation in AI/ML, deep learning, and software engineering to develop impactful solutions aligned with our sustainability and business objectives.

The ideal candidate demonstrates up-to-date expertise in Generative AI and NLP and applies it to the development, execution, and improvement of applications. This role involves supporting and aligning efforts to meet both customer and business needs.

You will play a key role in building strong relationships with stakeholders, identifying business challenges, and implementing AI-driven solutions. You should be adaptable to competing demands, organisational changes, and new responsibilities while upholding GreenStitch’s mission, values, and ethical standards.

What You’ll Do:

  • AI-Powered Applications: Build and deploy AI-driven applications leveraging Generative AI and NLP to enhance user experience and operational efficiency.
  • Model Development: Design and implement deep learning models and machine learning pipelines to solve complex business challenges.
  • Cross-Functional Collaboration: Work closely with product managers, engineers, and business teams to identify AI/ML opportunities.
  • Innovation & Experimentation: Stay up-to-date with the latest AI/ML advancements, rapidly prototype solutions, and iterate on ideas for continuous improvement.
  • Scalability & Optimisation: Optimise AI models for performance, scalability, and real-world impact, ensuring production readiness.
  • Knowledge Sharing & Thought Leadership: Contribute to publications, patents, and technical forums; represent GreenStitch in industry and academic discussions.
  • Compliance & Ethics: Model compliance with company policies and ensure AI solutions align with ethical standards and sustainability goals.
  • Communication: Translate complex AI/ML concepts into clear, actionable insights for business stakeholders.

What You’ll Bring:

  • Education: Bachelors/Master’s degree in Data Science, Computer Science, AI, or a related field.
  • Experience: 1-3 years of hands-on experience in AI/ML, NLP, and Deep Learning.
  • Technical Expertise: Strong knowledge of transformer-based models (GPT, BERT, etc.), deep learning frameworks (TensorFlow, PyTorch), and cloud platforms (Azure, AWS, GCP).
  • Software Development: Experience in Python, Java, or similar languages, and familiarity with MLOps tools.
  • Problem-Solving: Ability to apply AI/ML techniques to real-world challenges with a data-driven approach.
  • Growth Mindset: Passion for continuous learning and innovation in AI and climate-tech applications.
  • Collaboration & Communication: Strong ability to work with cross-functional teams, communicate complex ideas, and drive AI adoption.

Why GreenStitch?

GreenStitch is at the forefront of climate-tech innovation, helping businesses in the fashion and textile industry reduce their environmental footprint. By joining us, you will:

  • Work on high-impact AI projects that contribute to sustainability and decarbonisation.
  • Be part of a dynamic and collaborative team committed to making a difference.
  • Enjoy a flexible, hybrid work model that supports professional growth and work-life balance.
  • Receive competitive compensation and benefits, including healthcare, parental leave, and learning opportunities.

Location: Bangalore(India)Employment Type: Full Time, PermanentIndustry Type: Climate-Tech / Fashion-TechDepartment: Data Science & Machine Learning

Job Types: Full-time, Permanent

Pay: ₹400,000.00 - ₹800,000.00 per year

Schedule:

  • Day shift

Work Location: In person

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