Lead generative AI projects, managing a team of specialists and fostering innovation in AI solutions based in India. Act as SME for clients, delivering tailored generative AI solutions and driving advancements in the field.
Responsibilities
SME for clients: Serve as the primary point of contact for clients in Gen AI needs, including senior executives, to understand their needs and deliver tailored generative AI solutions.
Project Leadership: Lead multiple generative AI projects, ensuring timely delivery and high-quality outcomes. Define project deliverables, timelines, and methodologies.
Team Management: Manage and mentor a team of AI specialists, fostering a collaborative and innovative environment.
Solution Design: Architect and implement advanced generative AI models, including GANs, VAEs, and transformer-based models, to solve complex business problems.
Thought Leadership: Provide strategic insights and thought leadership in generative AI, driving innovation and best practices within the organization.
Technical Expertise: Stay abreast of the latest advancements in generative AI and machine learning, integrating cutting-edge technologies into projects.
Requirements
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.
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. (Preferred not mandatory)
Leadership: Demonstrable leadership ability, with experience managing and mentoring teams.
Problem-Solving: Superior problem-solving skills, with a track record of delivering innovative generative AI solutions.
Communication: Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
Industry Knowledge: Deep understanding of industry trends and challenges in generative AI and machine learning.
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