Senior Technical Lead
2 weeks ago
Location: Noida, Hyderabad, Chennai, Bangalore, Pune
Experience: 10-13 years (with at least 1 year in Generative AI)
Key Responsibilities:
- Lead the design, development, and deployment of Generative AI models and solutions on cloud platforms such as Microsoft Azure, AWS, or GCP.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Drive the end-to-end lifecycle of AI/ML projects, from data collection and preprocessing to model training, evaluation, and deployment.
- Mentor and guide junior team members, fostering a culture of continuous learning and innovation.
- Stay updated with the latest advancements in Generative AI and AI/ML technologies and integrate them into ongoing projects.
- Optimize and fine-tune AI models for performance, scalability, and reliability.
- Develop and maintain comprehensive documentation for all AI/ML projects and processes.
Qualifications:
- 10-13 years overall IT experience. Out of which 3-4 years hands-on experience in AI/ML, and at least 1 year in Generative AI.
- Strong proficiency in Python programming and experience with AI/ML frameworks, models and algorithms.
- Strong experience with leading LLMs, RAG, agentic automation, and agent frameworks like Lang Chain, Lang Graph, AutoGen, AutoGPT for Generative AI use-cases.
- Hands-on experience in Gen AI observability & monitoring via tools like Lang Smith
- Experience with deep learning, CNN, NLP, text-to-speech, speech-to-text, OCR, and image processing techniques.
- Experience in Infrastructure related use-cases leveraging Autonomous Agents and/or agentic platform. Should have hands-on experience building Autonomous agents for Gen AI related use-cases.
- Extensive experience with cloud platforms (Microsoft Azure/AWS/GCP/IBM WatsonX) and their AI/ML services.
- Extensive experience in Prompt Engineering and ability to design and build Prompt libraries for various scenarios applicable in Infrastructure.
- Thorough understanding of Responsible AI best practices and standards and experience of implementing them in Gen AI related projects
- Proven track record of leading and delivering complex AI/ML projects.
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
- Strong communication and leadership skills, with the ability to articulate technical concepts to non-technical stakeholders.
Preferred Skills:
- Experience with natural language processing (NLP) and computer vision.
- Familiarity with MLOps practices and tools.
- Knowledge of data engineering and big data technologies.
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