AI Visionary Leader

6 days ago

Pune, Maharashtra, India beBeeArtificialIntelligenceEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Overview

We are seeking a Senior 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.

Key Responsibilities:

  • Lead a team of AI Engineers and Data Scientists, fostering innovation, collaboration and continuous development.
  • Take end-to-end responsibility for AI projects from ideation and architecture to development, deployment and monitoring.
  • Design and implement AI/ML models using Python, Scikit-Learn, TensorFlow, PyTorch and other modern frameworks.
  • Build and optimize real-world applications leveraging Natural Language Processing and Large Language Models (LLMs).
  • Develop and manage end-to-end ML pipelines, integrating with CI/CD systems, using tools like Docker and cloud platforms.
  • Collaborate with software and data engineers to define robust and scalable architectures.
  • Work closely with product managers, business teams and engineers to align AI initiatives with business goals.
  • Identify project risks early, conduct root cause analyses and implement mitigation strategies.
  • Ensure technical documentation and maintain coding best practices throughout the lifecycle.
  • Coach junior team members, identify upskilling needs and support their career development.
Required Skills and Qualifications

Requirements:

  • 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 Skills and Qualifications

Desirable:

  • 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.

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