Chief AI Architect

2 weeks ago


Aurangabad, Maharashtra, India beBeeArtificialIntelligence Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Artificial Intelligence Visionary

This role is responsible for spearheading cutting-edge AI initiatives, providing strategic insights, and leading a team of specialists.

Key Responsibilities:
  • Manage client relationships in AI needs, including senior executives, to understand their requirements and deliver tailored solutions.
  • Lead multiple AI projects, ensuring timely delivery and high-quality outcomes. Define project objectives, timelines, and methodologies.
  • Develop and mentor a team of AI specialists, fostering a collaborative and innovative environment.
  • Design and implement advanced AI models, including GANs, VAEs, and transformer-based models, to solve complex business problems.
  • Provide strategic insights and thought leadership in AI, driving innovation and best practices within the organization.
  • Stay abreast of the latest advancements in AI and machine learning, integrating cutting-edge technologies into projects.
Qualifications:
  • Educational Background: Master's or PhD in computer science, engineering, mathematics, or related fields from top-tier institutions.
  • Experience: 8+ years of experience in AI and machine learning, with a focus on generative AI, deep learning, and NLP. Proven track record in delivering AI projects.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, Keras, and cloud platforms (AWS, Azure, GCP). Experience with large-scale data processing and model deployment.
  • Certifications: Relevant certifications in AI and machine learning, such as TensorFlow Developer Certificate, AWS Certified Machine Learning – Specialty, or similar.
  • Leadership: Demonstrable leadership ability, with experience managing and mentoring teams.
  • Problem-Solving: Superior problem-solving skills, with a track record of delivering innovative AI solutions.
  • Communication: Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

This role requires strong leadership, technical expertise, and innovative thinking to drive AI initiatives forward.



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