Lead AI / ML Engineer
Are you a visionary leader in the field of Artificial Intelligence and Machine Learning? Do you have a passion for spearheading cutting-edge projects and driving innovation?
About the Job
As a Lead AI / ML Engineer, you will be responsible for designing, developing, and implementing advanced AI and machine learning models that drive business growth and customer satisfaction.
Key Responsibilities :
- Client Interaction : Engage with clients to discuss their requirements and develop tailored proposals that meet their needs.
- Demonstrations and Workshops : Conduct solution / product demonstrations, POC / Proof of Technology workshops, and prepare effort estimates aligned with customer budgets.
- Model Oversight : Oversee the development and deployment of AI models, especially those generating content such as text, images or other media.
- Ai Solutions : Design, develop, implement, and deploy advanced AI solutions that address complex business challenges.
- Expertise Utilization : Leverage your expertise in NLP, Python programming, LLMs, Deep Learning, and AI principles to drive the development of transformative technologies.
- Leadership and Initiative : Actively lead projects and contribute to unit-level and organizational initiatives to provide high-quality, value-adding solutions to customers.
- Strategic Development : Develop value-creating strategies and models to help clients innovate, drive growth, and increase profitability.
- Technology Awareness : Stay informed about the latest technologies and industry trends.
- Problem-Solving and Collaboration : Employ logical thinking and problem-solving skills, and collaborate effectively with cross-functional teams.
- Client Interfacing : Demonstrate strong client interfacing skills and build long-term relationships with clients.
- Project and Team Management : Manage projects and teams efficiently to deliver results-driven solutions.
The ideal candidate will have hands-on experience with NLP, Computer Vision, programming, and related concepts, along with leadership capabilities, technical proficiency in AI solutions, experience with Large Language Models, and cloud platforms.
Qualifications :
Bachelor's or higher degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field.8+ years in IT with a focus on AI / ML practices and background.