to spearhead our efforts in leveraging generative AI technologies to drive innovation and business transformation. The ideal candidate will have deep expertise in generative AI models, such as GPT, DALL-E, or Stable Diffusion, and a proven track record of implementing AI-driven solutions. You will lead a team of AI specialists, collaborate with cross-functional teams, and ensure the successful deployment of generative AI applications across the organization.
Key Responsibilities:
1.
Strategic Leadership:
o Define and execute the organization's generative AI strategy in alignment with business goals.
o Identify opportunities to apply generative AI to solve business challenges and create value.
2.
AI Model Development and Deployment:
o Lead the development, fine-tuning, and deployment of generative AI models (e.g., LLMs, image generation models).
o Ensure scalability, efficiency, and reliability of generative AI solutions in production environments.
3.
Innovation and Research:
o Stay at the forefront of advancements in generative AI technologies and methodologies.
o Drive innovation by exploring new use cases and applications for generative AI.
4.
Team Leadership:
o Build and lead a team of AI engineers, data scientists, and researchers.
o Provide mentorship, technical guidance, and career development opportunities for team members.
5.
Collaboration:
o Partner with business units, product teams, and stakeholders to understand requirements and deliver tailored generative AI solutions.
o Work closely with IT and data teams to ensure infrastructure readiness and data availability.
6.
Governance and Ethics:
o Establish best practices for the ethical use of generative AI, ensuring compliance with data privacy and security regulations.
o Promote responsible AI usage and mitigate risks associated with generative AI technologies.
7.
Performance Monitoring and Optimization:
o Monitor the performance of generative AI models and continuously optimize them for accuracy, efficiency, and cost-effectiveness.
o Troubleshoot and resolve issues related to generative AI systems.
Qualifications:
Education:
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. A Ph.D. is a plus.
Experience:
7+ years of experience in AI/ML, with at least 3 years focused on generative AI technologies.
Hands-on experience with large language models (e.g., GPT, BERT), image generation models (e.g., DALL-E, Stable Diffusion), or similar technologies.
Proven track record of deploying generative AI solutions in real-world applications.
Skills:
Strong programming skills in Python, R, or similar languages.
Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and MLOps practices.
Knowledge of prompt engineering, fine-tuning, and model evaluation techniques.
Strong problem-solving, analytical, and communication skills.
Certifications (Optional):
Certifications in AI/ML or cloud platforms (e.g., AWS Certified Machine Learning, Google Professional ML Engineer).
Key Competencies:
Strategic thinking and innovation mindset.
Ability to lead and inspire cross-functional teams.
Strong attention to detail and commitment to quality.
Passion for exploring and applying cutting-edge AI technologies.
Job Types: Full-time, Permanent
Pay: ?1,500,000.00 - ?2,000,000.00 per year
Benefits:
Health insurance
Provident Fund
Application Question(s):
What is your current CTC?
What is your expected CTC?
Are you an immediate joiner?
How many years of exp you have in Gen AI ?
Do you have handson in the skills mentioned in JD ?
When is your last working day
Location:
Pune, Maharashtra (Required)
Work Location: In person
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