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Lead Artificial Intelligence Engineer - Python / Numpy

Lead Artificial Intelligence Engineer - Python / Numpy

Recruitmenthub365Pune
30+ days ago
Job description

Job Title : Lead Artificial Intelligence Engineer

Location : Pune (Hybrid)

Experience : 5+ Years

Must-Have : Python, Gen AI, NLP, PyTorch, TensorFlow, LLM, CI / CD

Shift Time : 2 : 00 PM to 11 : 00 PM (IST)

Notice Period : Immediate to 15 days

Job Overview :

We are looking for a Lead Artificial Intelligence Engineer to spearhead the design, development, and deployment of cutting-edge AI solutions. This role will lead a team of AI Engineers and Data Scientists while collaborating cross-functionally to drive business impact through intelligent, data-driven systems. The ideal candidate has deep expertise in NLP, LLMs, and real-world AI implementation, with a strong foundation in software engineering and MLOps.

Key Responsibilities :

  • Team Leadership : Inspire and lead a team of AI Engineers and Data Scientists, fostering innovation, collaboration, and continuous development.
  • Project Ownership : Take end-to-end responsibility for AI projectsfrom ideation and architecture to development, deployment, and monitoring.
  • AI Development : Design and implement AI / ML models using Python, Scikit-Learn, TensorFlow, PyTorch, and other modern frameworks.
  • NLP & LLMs : Build and optimize real-world applications leveraging Natural Language Processing and Large Language Models (LLMs).
  • MLOps & Engineering : Develop and manage end-to-end ML pipelines, integrating with CI / CD systems, using tools like Docker and cloud platforms (AWS, GCP, or Azure).
  • System Architecture : Collaborate with software and data engineers to define robust and scalable architectures.
  • Cross-functional Collaboration : Work closely with product managers, business teams, and engineers to

align AI initiatives with business goals.

  • Risk Management : Identify project risks early, conduct root cause analyses, and implement mitigation strategies.
  • Documentation & Standards : Ensure technical documentation and maintain coding best practices throughout the lifecycle.
  • Mentorship & Growth : Coach junior team members, identify upskilling needs, and support their career development.
  • Required Qualifications :

  • Bachelor's or Masters degree in Computer Science, Engineering, Data Science, AI, or a related field.
  • 5+ years of hands-on experience in AI / ML or Data Science in real-world applications.
  • Strong experience in Python and libraries like NumPy, Pandas, Scikit-learn, etc.
  • Expertise in Natural Language Processing (preferred) or Computer Vision.
  • Experience building and deploying AI systems in production.
  • Proficiency in ML frameworks : PyTorch, TensorFlow.
  • Strong understanding of Generative AI and practical experience with LLMs.
  • Experience with web frameworks such as Flask, FastAPI, or Django.
  • Cloud experience with AWS, GCP, or Azure.
  • Familiarity with SQL / NoSQL, Git, CI / CD, and containerization tools like Docker.
  • Solid grasp of software engineering principles and MLOps practices.
  • Preferred Qualifications :

  • Experience with Big Data tools like Apache Spark, Kafka, Kinesis.
  • Familiarity with cloud ML platforms such as AWS SageMaker or GCP ML Engine.
  • Exposure to data visualization tools such as Tableau or Power BI
  • (ref : hirist.tech)

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