Ai Engineer

Altimetrik • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Bachelor's Degree • Python • 1 month ago
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Salary
≈ $20k – $52k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Middle · 4+ years exp

First seen by Alion on Sep 10, 2026. Altimetrik scores D on the Alion truth index.

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Altimetrik

Altimetrik is a digital and AI engineering services company headquartered in Southfield, Michigan, that builds software, data, cloud and AI systems for large enterprises in banking, insurance, automotive, healthcare, retail and technology. Founded in 2012 by Raj Vattikuti, the founder of Covansys, it employs between 5,000 and 10,000 people, with major delivery centers in Chennai, Bengaluru, Pune and Hyderabad and further offices in Krakow, Mexico City, Montevideo, Singapore, Canada and the US. It hires data, AI and generative AI engineers, Java, .NET and full stack developers, DevSecOps, cybersecurity and Salesforce engineers, architects and engineering managers.
altimetrik.com • HQ: Southfield, United States • AI Consulting & Integration • IT Outsourcing & Dedicated Teams • Custom Software Development • IT Consulting & Digital Transformation • 51-200 employees • Est. 2012
Tech stack of Altimetrik

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or a related technical field (Master's or PhD preferred).
  • 4+ years of experience in software engineering, with significant exposure to ML systems.
  • Strong proficiency in Python and solid computer science fundamentals (data structures, algorithms, system design).
  • Proven experience building and deploying production-grade ML systems at scale.
  • Ability to identify patterns and create reusable solutions/assets.
  • Hands-on experience with Generative AI / LLM-based systems.
  • Deep understanding of machine learning concepts (optimisation, statistics, linear algebra).
  • Experience with RAG architectures, vector databases, embeddings, and retrieval systems; experience evaluating models using OpenAI, Anthropic, and Gemini ecosystems.
  • Understanding of computer vision techniques such as object detection and semantic or instance segmentation.
  • Hands-on experience with deep learning frameworks (PyTorch, TensorFlow/Keras).
  • Familiarity with MLOps practices (CI/CD for ML, model versioning, monitoring, drift detection).
  • Experience with cloud platforms (AWS, GCP, or Azure) and distributed computing frameworks (Spark, Ray, etc. )
  • Ability to write clean, modular, and reusable code.
  • Contributions to open-source, research publications, or patents (a strong plus).
  • Experience reading or implementing research papers.
  • Strong ownership mindset with a bias toward action and execution.
  • Experience influencing technical direction and mentoring engineers.
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