Live opening · Posted 21 days ago

Data Scientist(Agentic AI, Immediate)

UsefulBI Corporation · Greater Bengaluru Area (Hybrid)
Linkedin No
You are 21 days behind. JobBeeper subscribers saw this role while it was still new.

At a glance

The key details from the original listing.

Posted 21 days ago
CompanyUsefulBI Corporation
LocationGreater Bengaluru Area (Hybrid)
Work modeNo
SourceLinkedin
Listed21 days ago

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About the role

Description supplied by the original job listing.

Location: Bangalore / Pune / Lucknow
Experience: 3-6+ Years
We are looking for a skilled AI/ML Engineer with strong experience in Machine Learning, NLP, Deep Learning, or related AI technologies. The ideal candidate should have hands-on experience building intelligent systems, working with large datasets, and developing scalable AI/ML solutions. Exposure to Generative AI/LLMs will be considered a good to have.
Key Responsibilities:
Build, train, and optimize Machine Learning and AI models
Work on data analysis, feature engineering, and model evaluation
Develop scalable AI/ML pipelines and workflows
Work with structured and unstructured datasets
Collaborate with engineering and product teams to deliver AI-driven solutions
Implement and improve NLP, predictive modeling, or deep learning solutions
Troubleshoot, debug, and optimize model performance
Required Skills:
Strong experience in Python
Hands-on experience in Machine Learning, NLP, or Deep Learning
Good understanding of ML algorithms, statistics, and model evaluation techniques
Experience working with APIs, databases, and data pipelines
Familiarity with SQL and data processing
Understanding of cloud platforms such as AWS/Azure/GCP is a plus
Good to Have:
Exposure to Generative AI, LLMs, RAG, LangChain, Vector Databases, or AI Agents
Experience working on chatbot or GenAI-based applications
Preferred Qualifications:
Experience working on end-to-end AI/ML projects
Strong analytical and problem-solving skills
Good communication and collaboration abilities
Ability to work in a fast-paced environment
Ability to quickly learn and adapt to different technologies and tech stacks.

Work arrangement
No

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