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Salary
≈ $21k – $53k per year (Estimated)
Location
In office (Bengaluru, Pune, Lucknow)
Seniority
Middle · 3+ years exp

First seen by Alion on Sep 12, 2026.

Overview
Company
Impact
Profile match
UsefulBI is a software development company offering solutions in data engineering, data science, and business intelligence to empower smart business decisions through integrated data insights and advanced AI.

About the job :

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.

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

Skills

Python, Machine Learning, NLP, Deep Learning, SQL, Generative AI, LLM, RAG, LangChain

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