
AI Technical Lead
4 days ago
Technical Lead – GEN AI
">Key Responsibilities:- Lead the design, development, and deployment of large language models (LLMs) and generative AI applications.
- Possess a strong foundational knowledge in traditional machine learning and deep neural networks.
- Leverage cloud-based services to build and deploy AI/generative AI applications.
- Demonstrate strong proficiency in Python and experience with machine learning/LLM/genetic AI libraries and frameworks such as TensorFlow, PyTorch, Keras, Langchain, and NLP tools like SpaCy, NLTK.
- Have hands-on experience with LlamaIndex, LangChain, or equivalent frameworks.
- Carry a rich experience in designing, developing, and deploying advanced Retrieval-Augmented Generation (RAG) based gen AI solutions.
- Possess a strong understanding of LLMs, vector databases, and embedding techniques.
- Evaluate and implement different embedding models and chunking strategies.
- Design and implement agentic AI systems that can autonomously perform tasks, make decisions, and interact with other systems or users effectively.
- Have experience in applying advanced fine-tuning methods to optimize open-source models for specific tasks.
- Familiarity with CI/CD pipelines and tools.
- Collaborate with data engineers to ensure efficient data collection, preprocessing, and management for AI applications.
- Provide technical leadership and mentorship to a team of developers, ensuring best practices in gen AI development.
- Total Experience 13-15 years; Gen AI Experience – 5 + years.
- Master's degree in computer science, Information Technology.
Join us to be part of a leading global organization. Our constant focus on employee experience along with a startup-like culture empowers you to achieve impactful results.
">Benefits:
- A comprehensive benefits package designed to support your health, well-being, and professional growth.
- Flexible work options, generous paid time off, and robust health coverage.
- Continuous learning opportunities and career advancement programs.
- A supportive and inclusive work environment.
Application Process:
Our recruitment process is designed to be transparent and inclusive.
- Step 1: Submit your application via our website.
- Step 2: Engage with our recruitment team for an initial discussion.
- Step 3: Participate in HackerRank assessments/technical/functional interviews and assessments (if applicable).
- Step 4: Final interaction with leadership.
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