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Artificial Intelligence Engineer - Generative AI

Artificial Intelligence Engineer - Generative AI

Recruitment Hub 365Pune
21 days ago
Job description

Role : Lead Artificial Intelligence Engineer - Generative AI

Location : Baner, Pune (Hybrid)

Shift : 2 : 00 PM 11 : 00 PM IST

Notice Period : Immediate 15 Days

Experience : 5+ Years

About the Role

We are looking for a Lead Artificial Intelligence Engineer to drive the design and deployment of Generative AI and LLM-powered solutions. The role involves leading a team of AI Engineers and Data Scientists, building production-grade AI systems, and delivering real-world business impact through advanced machine learning and natural language technologies.

Key Responsibilities :

  • Lead and mentor a team of AI Engineers and Data Scientists, fostering innovation and technical excellence.
  • Architect, design, and deploy Generative AI and LLM-based applications.
  • Take end-to-end ownership of AI initiatives, from research and architecture to deployment and monitoring.
  • Build scalable ML pipelines and production workflows aligned with MLOps best practices.
  • Collaborate with product, engineering, and business teams to align AI strategy with

organizational goals.

  • Define system architecture integrating AI solutions with cloud and enterprise platforms.
  • Ensure high standards of code quality, documentation, and reproducibility.
  • Drive continuous learning and knowledge sharing within the team.
  • Required Qualifications :

  • Bachelors / Masters in Computer Science, Data Science, AI, or related field.
  • 5+ years of hands-on experience in AI / ML, with proven deployment of production systems.
  • Strong expertise in Python (NumPy, Pandas, Scikit-learn) and ML frameworks (PyTorch,
  • TensorFlow).

  • Deep knowledge of NLP, LLMs, and Generative AI.
  • Experience with web frameworks (Flask, FastAPI, Django).
  • Cloud expertise (AWS, GCP, or Azure) with hands-on deployment experience.
  • Familiarity with SQL / NoSQL, Git, CI / CD, and containerization (Docker).
  • Strong understanding of software engineering principles and MLOps practices.
  • Preferred Qualifications :

  • Exposure to Big Data tools (Apache Spark, Kafka, Kinesis).
  • Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML).
  • Understanding of data visualization tools (Tableau, Power BI).
  • (ref : hirist.tech)

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