Job description:

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.

• To adhere to quality standards, regulatory requirements and company policies
• To ensure positive customer experience and CSAT through First Call Resolution and minimum rejected resolutions / Reopen Cases
• To participate or contribute on EN business in creation of proposals to drive Service improvement plans.
• To independently resolve tickets & esnure that the agreed SLA of ticket volume and time are met for the team.
• To provide support for on call escalations /L3 level support and doing incident & problem management
• Work on value adding activities such Knowledge base update & management, Training freshers, coaching analysts & conducting interviews/participation in hiring drives.