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AI Innovation Leader

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Pune, Maharashtra, India beBeeArtificial Full time ₹ 12,00,000 - ₹ 14,90,000

Job Description

Design and Deploy Cutting-Edge AI Solutions as a Senior Architect

We are looking for an experienced Senior AI Solutions Architect to lead the development, deployment, and maintenance of innovative AI systems. As a key member of our team, you will be responsible for spearheading projects from inception to completion, collaborating with cross-functional teams, and driving business growth through data-driven decision making.

Key Responsibilities:

  • Inspire and lead a team of AI Engineers and Data Scientists, fostering innovation, collaboration, and continuous learning.
  • 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 (AWS, GCP, or Azure).
  • 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 Qualifications:

  • Bachelors 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.