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Mid-level ML/AI role, metropolitan location, broad LLM skill requirements, and known employer drive high competition.
Role requires specialized ML/LLM model engineering and finetuning expertise, limiting cross-industry interchangeability.
Multiple hard filters: 5+ years, Master's, specific LLM skills, signed Form16, strict notice period and in-office rules.
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Develop and deploy AI/ML solutions including supervised and unsupervised learning, deep learning, NLP, and fine-tuning Large Language Models.
Implement and test agentic AI concepts and deploy AI agents to automate routine tasks using tools like LangChain or AutoGen.
Collaborate with diverse business stakeholders to identify needs and present technical findings effectively to varied audiences.
Master’s degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical field.
Minimum 3 years of prior work experience as a data scientist; overall 5+ years experience on key skills as mentioned.
Strong programming skills in Python and SQL; experience with AWS or Azure cloud platforms.
Must be able to work hybrid from office in Bangalore with 10:30 AM to 8:30 PM shift; notice period 0 to 3 weeks mandatory.
Experienced in AI/ML projects with specialization in fine-tuning LLMs, prompt engineering, and RAG applications.
Familiarity with agentic AI orchestration frameworks and implementing autonomous AI agents.
Ability to translate complex technical concepts to non-technical stakeholders and rapidly adapt to evolving AI technologies.