Experience: 8-10 years (Minimum 2 years in Generative AI)
Location: Pune / Mumbai
Job Type: Hybrid
Position Overview:
We are looking for a highly skilled AI Lead to drive Generative AI (GenAI) innovations while overseeing a team of AI Engineers with 4-6 years of experience each. This role requires hands-on expertise in building AI production systems, optimizing performance, and ensuring seamless consumption, serving, guardrails, and monitoring of AI models..
Key Responsibilities:
Team Leadership & Technical Mentorship
- Lead, mentor, and architect solutions for a team of AI engineers.
- Provide technical guidance on AI, ML, Data Engineering, and Generative AI best practices.
AI Strategy & Execution
- Design and deploy AI/ML solutions, ensuring performance optimization and reduced hallucinations in LLM-based applications.
- Oversee AI projects, from R&D to production, ensuring timely delivery.
- Guide the team in selecting AI frameworks, tools, and methodologies.
Cross-Team Collaboration
- Work closely with Product Management, Backend, Frontend, and QA teams to integrate AI solutions into business applications.
- Ensure seamless MLOps adoption for deployment, monitoring, and model lifecycle management.
Innovation & AI Advancements
- Stay updated on Generative AI, Large Language Models (LLMs), and emerging AI/ML trends.
- Implement state-of-the-art NLP, text processing, and multi-level prompt engineering strategies.
Quality & Documentation
- Maintain comprehensive AI model documentation, best practices, and performance tracking.
- Implement AI evaluation mechanisms to measure model performance and bias mitigation.
Required Skills and Qualifications:
Education:
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field.
Experience:
- 8-10 years of AI/ML experience, with at least 3 years in a technical lead role.
- Minimum 2 years in Generative AI domain with expertise in LLMs, Prompt Engineering, and AI model deployment.
Technical Skills:
- Strong Python expertise for AI/ML development.
- Proficiency in ML frameworks: TensorFlow, PyTorch, Keras, and Scikit-learn.
- Experience with Generative AI models and applications.
- MLOps & AI Deployment: Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, GCP).
- AI Model Performance Optimization: Model tuning, prompt chaining, multi-level prompting.
- Data Engineering Knowledge: Handling structured/unstructured data for ML applications.
- Proven experience in leading AI teams in production environments.
Soft Skills:
- Strong team management, problem-solving, and analytical thinking.
- Excellent communication and collaboration skills across teams.
Preferred Qualifications:
Experience in Generative AI evaluation metrics and AI model performance tracking.
Expertise in containerization (Docker, Kubernetes).
Deep knowledge of Prompt Engineering techniques (tokenization, injection attacks, templatization, chaining).