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Transformational AI Leader

2 weeks ago

Pushkar, Rajasthan, India beBeeArtificial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Lead AI Strategist

We are seeking an accomplished Lead AI Strategist to spearhead the development and deployment of cutting-edge artificial intelligence solutions, leveraging expertise in machine learning, data science, and deep learning.

This high-profile role emphasizes comprehensive technical skills and strategic oversight, including model fine-tuning, architecture enhancement, and integrating research into scalable production-grade solutions. The successful candidate will oversee the deployment, monitoring, and continuous improvement of advanced models for our clients and internal products.

About this Opportunity

This role is ideal for a forward-thinking individual who can lead impactful AI projects that genuinely transform client businesses and drive strategic growth. As part of our team, you will have the opportunity to expand your knowledge during dedicated work hours reserved for learning and transition to new roles within the organization.

  • Key Responsibilities:
  • Advanced Model Development & Optimization: Develop, fine-tune, and optimize traditional machine learning and deep learning models to deliver production-grade solutions across multiple domains (NLP, Vision, Audio).
  • Research & Technical Leadership: Stay current with state-of-the-art machine learning and deep learning research, translating complex theoretical knowledge into practical business applications.
  • Strategic Deployment & Monitoring: Lead the development of sophisticated deployment strategies and robust monitoring frameworks, ensuring continuous performance evaluation and iterative improvement.
  • Cross-Functional Collaboration: Partner closely with data engineers, AI solutions engineers, software developers, and business leaders to align technical decisions with strategic business outcomes.
  • Technical Mentorship: Guide junior engineers and promote high engineering standards, best practices, and continuous learning within the team.

Requirements:

  • Technical Mastery: 4+ years of hands-on experience developing, deploying, and optimizing machine learning and deep learning models, proficient in Python and libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, and familiarity with cloud platforms like AWS, Azure, or GCP.
  • Strong Data Science Fundamentals: Deep understanding of traditional machine learning techniques, statistical analysis, predictive modeling, and advanced data science concepts.
  • Deep Learning Expertise: Proven ability to implement and fine-tune complex neural network architectures, including transformer-based models, CNNs, and RNNs. Production expertise highly desirable.
  • Excellent Communication Skills: Ability to clearly articulate technical solutions and insights to diverse stakeholders, from engineers to executives.

Our Benefits:

  • Flexible work hours
  • All leaves taken are paid leaves
  • Family Insurance
  • Quarterly Collaboration Week