14 - 16 years
0 Lacs
Posted:3 days ago|
Platform:
On-site
Full Time
Job Description: -
Design and deliver AI/ML/GenAI solutions using AWS services across one or more industry verticals (CPG, BFSI, etc.).
Architect and implement solutions using Amazon Bedrock, SageMaker, Lex, Connect, Amazon Q, and AWS AI toolchains.
Apply Generative AI, LLM fine-tuning, RAG architectures to solve client business problems.
Lead initiatives in Agentic AI frameworks to solve business use cases.
Lead delivery teams through all phases: data preprocessing, model training, hyperparameter tuning, evaluation, and deployment.
Develop project blueprints, solution documentation, and delivery roadmaps aligned with client expectations.
Drive AI solution integration into production systems in collaboration with digital product and engineering teams.
Conduct applied research on LLMs, NLP/NLU, Deep Learning, and publish technical white papers or patents.
Engage with C-level and technical stakeholders to align AI strategy with business goals.
Stay updated on AI advancements and evangelize best practices and innovation within internal and client ecosystems.
Understanding of responsible AI, AI governance, and model interpretability
Minimum Qualifications / Skills
MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms.
Post-Graduation in MBA and Undergraduate degree in any engineering discipline, preferably Computer Science with relevant experience
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