Data Science Lead

3 weeks ago


Ahmedabad, Gujarat, India Infraveo Full time

We are seeking a highly skilled Data Science Lead to join our team at Infraveo.


As a Senior Data Science Engineer, you will be responsible for developing and implementing generative AI models and algorithms, including Retrieval Augmentation Generation and prompt engineering.



Key Skills:

  • Experience in developing and implementing generative AI models and algorithms.
  • Ability to work with large datasets and understand preprocessing techniques.
  • Experience in building and deploying multimodal generative AI systems in real-world applications.
  • Experience with GCP ecosystem, including ImageGen, Vector Search, and Vertex AI.


Machine Learning/Deep Learning Skills:

  • Lead the development and implementation of advanced machine learning models, ensuring a high standard of technical excellence.
  • Design, implement, and provide guidance on ML engineering workflows, streamlining the deployment of models and systems to production for optimal efficiency.
  • Exceptional ML engineering knowledge, showcasing the ability to streamline model deployment and manage complex ML workflows.
  • Strong understanding of machine learning and deep learning principles.


Requirements:

  • Extensive full-time experience in Data Science roles with a proven background in leading and mentoring small data science project teams.
  • Track record of successfully taking multiple data science models/systems into production with GCP ecosystem.
  • Strong background and experience with Machine Learning Operations (MLOPs) and Large Language Model Operations (LLMOps).
  • Expertise in collaborative development tools and practices, including peer code reviews and version control (Git).


Benefits:

  • Work location: Remote.
  • 5 days working.


We offer competitive compensation and benefits, including a comprehensive health insurance package, 401(k) matching, and a generous PTO policy. In addition, we provide opportunities for professional growth and development, including training and education programs, mentorship, and a collaborative work environment.

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