We are looking for a skilled AI / ML Data Engineer or data scientist to join our team, contributing to the development and deployment of scalable AI and machine learning solutions. The ideal candidate has experience working with Generative AI, data science techniques, modern AI / ML frameworks, and strong programming capabilities. This role involves close collaboration with data scientists, software engineers, and product teams to build intelligent systems that drive business value.
Key Responsibilities :
- Design, develop, and optimize data pipelines to support AI / ML model training and inference.
- Work on Generative AI solutions using tools like ChatGPT, Copilot, or other LLMs.
- Collaborate with data science and engineering teams to gather requirements and deliver actionable insights.
- Implement machine learning models and integrate them into production environments.
- Utilize AI / ML frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers for model development.
- Leverage Python and related tools (NumPy, pandas, scikit-learn) to develop scalable and efficient ML applications.
- Stay updated with the latest developments in AI / ML, particularly in the areas of LLMs and generative models.
- Ensure model performance, accuracy, and explainability through regular evaluation and tuning.
Required Skills and Qualifications :
Proven experience as a Data Engineer or ML Engineer with a focus on AI / ML and data science.Hands-on experience with Generative AI tools and frameworks.Proficiency in Python and its data ecosystem.Strong experience in AI / ML frameworks such as PyTorch, TensorFlow, or similar.Familiarity with large language models like ChatGPT, GitHub Copilot, or open-source alternatives.Understanding of software engineering best practices (version control, CI / CD, testing).Ability to translate business problems into data solutions collaboratively with engineering and product teams.(ref : hirist.tech)