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Salary
≈ $15k – $39k per year (Estimated)
Location
Hybrid (Gurgaon, India)
Experience
4+ years exp

First seen by Alion on Sep 14, 2026.

Overview
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Profile match
IntraEdge is a technology services and products company headquartered in Chandler, Arizona, that provides IT staffing, global outsourcing, custom software development and technology training to enterprise clients. Founded in 2002, it places engineers and consultants on banking, insurance and enterprise programs, runs large delivery teams in Hyderabad, Pune, Gurgaon and other Indian cities, and counts the Truyo privacy and AI governance platform among its products. It hires Java and full-stack engineers, SAP Central Finance leads, IAM and SEEBURGER integration developers, solution architects and product leads for conversational and generative AI.

Role : Data Scientist/MLE - Engineer II

Location : Gurgaon (Hybrid)

Skills : ML, Python

Job Description :

- Bachelors or higher degree in Data Science, Computer Science, Information Systems, Engineering or related field

- Hands-on experience in building and deploying ML models including Classical ML and NLP

- In-depth knowledge of machine learning algorithms, software architecture, libraries and frameworks to create ML models that accomplishes outlined goals

- Rigorous knowledge of Python programming to develop software. Java is a plus.

- Creative thinking and problem solving skills to come up with new solutions and approaches

- Skillful in developing and maintaining detailed, easy-to-read documentation including data dictionaries, model documentation, and code documentation

- Experience in integrating ML into existing applications in batch and realtime

- Effective verbal and written communication skills to collaborate within and outside the team

- Hands-on experience on writing and understanding complex SQL and optimizing data pipelines. Experience with NoSQL is a plus

- Experience in Big Data ecosystem including Map-Reduce, Hive, Spark (core, SQL and pyspark) is a plus.


- Knowledge of basic UNIX commands is necessary.

- Experience with GitHub and leveraging CI/CD pipelines

- Experience in taking models through AI/ML governance in highly regulated industry is a plus

Skills

Data Science, Data Scientist, Machine Learning, NLP, SQL, Python, Artificial Intelligence, Big Data, Hive

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