Senior Engineer - Data Science

Altimetrik • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Certification required • Bachelor's Degree • Python • 2 days ago

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Salary

≈ $22k – $44k per year (Estimated)

Location

In office (Chennai)

Seniority

Senior · 6+ years exp

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Apr 1, 2026. Altimetrik scores D on the Alion truth index.

Overview

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Altimetrik

Altimetrik is an IT company that provides technology solutions to enterprises in areas of Digital, Connected Solutions and Consumer Technologies. Has offices globally including India, Singapore, UAE and Uruguay.

altimetrik.com • Bengaluru • Mumbai • Chennai • Bogotá • Jaipur • IT Outsourcing & Dedicated Teams • Custom Software Development • IT Consulting & Digital Transformation • 51-200 employees • Est. 2012

Tech stack of Altimetrik

Senior Engineer - Data Science, with Automotive domain having 6 - 10 years of experience, will lead the design and implementation of advanced data science models and algorithms using Python, PyTorch, and TensorFlow to solve complex business problems.
The ideal candidate will possess an advanced skill set in data science, machine learning, and artificial intelligence, with a specific focus on deep learning frameworks.
A strong proficiency in Python is essential for implementing algorithms, model training, and deployment.
Candidates should be adept at using Google Cloud Platform, particularly Google Cloud Vertex AI and BigQuery, for managing large datasets and leveraging cloud-based services.
Experience with containerization technologies like Docker is critical for creating reproducible ML workflows.
Collaboration skills are paramount, as the role involves working within cross-functional teams to drive data-driven decision-making.
Proficiency with version control systems is expected to ensure streamlined development processes.
A Master’s degree in Data Science or Machine Learning is required, along with a Bachelor’s degree in Computer Science with a specialization in AI or Data Science.
Holding certifications such as the TensorFlow Developer Certificate and the Google Cloud Professional Data Engineer will be regarded as advantageous.
Good to have experience with Google Cloud Dataflow for building data pipelines and familiarity with data manipulation techniques relevant to cloud data services.

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Python

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DynamoDB

RabbitMQ

MS SQL

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CI/CD

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AWS

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