Principal Generative AI Engineer

2 weeks ago

Bengaluru, Karnataka, India Neostats Analytics Solutions Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Role & responsibilities

  • Identify client challenges and propose innovative AI/GenAI solutions, primarily leveraging Azure and OpenAI capabilities.
  • Conduct functional and process design, prototyping, testing, training, and establish robust support procedures in partnership with data engineering and leadership teams.
  • Design, build, and fine-tune generative AI models across applications such as NLP, computer vision, and other advanced analytics scenarios.
  • Fine-tune and optimize large language models and open-source pre-trained transformers utilizing cloud and distributed computing environments.
  • Collaborate closely with software engineering teams to integrate AI models effectively into existing products, services, and platforms.
  • Develop robust APIs and scalable interfaces to ensure seamless deployment and operation of generative AI solutions.
  • Provide technical and managerial leadership to a team dedicated to delivering AI solutions and product development.
  • Partner with external institutions, research centers, and universities to explore and implement groundbreaking AI research initiatives.
  • Ensure all AI solutions adhere to data privacy regulations, ethical standards, and compliance requirements.
  • Stay current with emerging trends, tools, and best practices in machine learning and generative AI.

Preferred candidate profile

Mandatory:

  • 6+ years of professional experience in AI, ML, Deep Learning, or related fields.
  • Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or related disciplines (Ph.D. preferred).
  • Proven expertise in generative AI models, including large language models and frameworks such as OpenAI.
  • Strong proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).
  • Deep understanding of transformer architectures, attention mechanisms, and neural network design.
  • Advanced knowledge of statistical modeling, algorithmic techniques, linear algebra, and probability theory.
  • Hands-on experience processing and managing large-scale datasets with efficient coding practices.
  • Demonstrated capability in program leadership, governance, and facilitating change management.

Desirable:

  • Experience with Azure Data & AI services.
  • Familiarity with MLOps tools (MLFlow, Azure MLOps).
  • Ability to creatively solve complex problems under resource constraints.
  • Exceptional verbal and written communication skills, with the ability to effectively engage C-Level executives.

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