AI Innovation Strategist

6 days ago

Bengaluru, Karnataka, India beBeeLeader Full time ₹ 25,00,000 - ₹ 35,00,000
Job Description">

A visionary leader is sought to drive the development and deployment of AI-enabled solutions across various industries.

This role blends technical expertise with strategic leadership, requiring the ability to architect innovative solutions, build high-performing teams, and drive innovation across products impacting thousands of users.

The ideal candidate will have experience building enterprise-grade AI systems using large language models, reinforcement learning agents, and computer vision.

">Key Responsibilities">
  • ">
  • Define and execute the AI and Computer Vision roadmap across various products and services.">
  • Lead the development of enterprise-grade AI solutions from prototyping to deployment.">
  • Build and mentor a world-class team of machine learning, data science, and computer vision engineers.">
  • Collaborate with cross-functional teams to integrate AI into production-grade systems.">
  • Guide the development of edge-AI, multi-modal (vision + language) models, and generative AI solutions.">
">Requirements">

The successful candidate will have:

At least 915 years of overall experience, with at least 5+ years leading AI/ML and Computer Vision initiatives.

Strong expertise in building and scaling NLP, CV, and generative AI models in production environments.

Deep experience with LLMs (e.g., GPT, BERT, T5) and RAG systems; prompt tuning, fine-tuning, few-shot learning.

Proven experience deploying computer vision systems - video analytics, defect detection, facial recognition, etc.

Proficiency in Python and deep learning frameworks like PyTorch, TensorFlow.

Hands-on with cloud platforms (AWS, Azure, GCP) and scalable inference/deployment techniques.

Familiarity with model compression, distillation, quantization, and ethical AI practices.

Working knowledge of edge AI and real-time inference systems is a plus.

Bachelors or Masters degree in Computer Science, AI, Data Science, or related fields.

">Preferred Qualifications">

The ideal candidate will also have:

Experience deploying production models, leading teams, and experimenting at the frontier of AI.

Ability to work collaboratively in a fast-paced environment.

Strong communication and problem-solving skills.

">

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