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Known employer and metro Pune raise competition, while niche RAG specialization limits the candidate pool.
High: strong ML/RAG specialization reduces cross-industry transferability.
Extensive mandatory ML, prompt-engineering, and deployment skills create moderate filtering despite no explicit years.
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Design and develop machine learning and deep learning systems with hands-on execution of tests and experiments.
Create, refine, and implement prompts to guide Gen AI models for accurate, relevant outputs aligned with project goals.
Collaborate with data scientists and AI developers to fine-tune model parameters and improve model responses through experimentation and analysis.
Professional experience in software development with relevant years in machine learning and deep learning system design.
Bachelor's degree in Business Analytics, Computer Science, or Statistics, or Master's degree in Data Science.
Proficiency in prompt engineering using Open AI Playground, NLP tools, and machine learning techniques.
Location requirement: Hybrid work with presence at 1st floor Nyati tech park, Pune, India.
Experienced in prompt engineering and hands-on AI model tuning within large-scale enterprise environments.
Strong familiarity with AI/ML tools and frameworks, including Amazon SageMaker, CI/CD pipelines, and automated machine learning.
Able to operate in hybrid and variable shift environments while collaborating effectively with diverse technical teams.