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Mid-level 3-5 years, Bangalore metro, and a generalist 'Data Analyst' title increase applicant competition.
Highly specialized ML/LLM skills and model deployment focus reduce cross-industry transferability.
Requires master's degree, 3+ years, LLM/ML, PyTorch and cloud experience, indicating strict technical filters.
Develop and deploy AI/ML solutions including supervised and unsupervised learning, deep learning, NLP, and LLM fine-tuning.
Work with advanced AI concepts such as agentic AI, autonomous planning, and orchestration frameworks to automate routine tasks.
Collaborate with business stakeholders to identify needs and deliver actionable AI-driven insights and models.
3-5 years of relevant experience including as a data scientist.
Minimum Master’s Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields.
Proficiency in Python, SQL, and experience with cloud platforms like AWS or Azure.
Hands-on experience with AI/ML projects, supervised/unsupervised machine learning, deep learning, NLP, and working knowledge of LLM fine-tuning.
Experienced in working with cutting-edge AI tools like LangChain, AutoGen, PyTorch, Langgraph and familiar with vector databases and transformer architectures.
Skilled in agentic AI frameworks and capable of deploying AI agents for automation.
Able to communicate complex AI research and technical findings effectively to varied stakeholder groups and rapidly assimilate new technologies.