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Location
In office (Bengaluru)
Seniority
Senior · 6+ years exp
Visa
Sponsors visas in United States; no register of this country names it

Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Sep 16, 2026. Altimetrik scores D on the Alion truth index.

Overview
Company
Impact
Profile match
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.

AI/ML Engineer

Experience: 6-10 years

Location: Bengaluru, India | Employment Type: Full-time

About the Role

As an AI/ML Engineer at Client, you will contribute to building and maintainingML pipelines, GenAI workflows, and AI-assisted tooling - supporting fraud detection and broader AI adoption across the business.

Client Data Environment

Redshift (Bronze/Silver/Gold), EC2, AWS Bedrock, FeatureSpace, Claude Code, Claude Enterprise. Confluent being replaced by RedPanda.

Key Responsibilities

  • Build and maintain ML pipelines for fraud detection and AI use cases under senior ML Engineer guidance

  • Support integration of Claude Code and Claude Enterprise into engineering workflows

    • Develop and maintain GenAI and agentic workflows using AWS Bedrock and Claude APIs

    • Contribute to feature engineering, model deployment, and monitoring pipelines

    • Work with DataEngineers on datapreparation and pipeline reliability for ML workloads

    • Implement responsible AI practices in alignment with Client's Paved Paths governance model

    • Adhere to PCI DSS and dataprivacy requirements across all AI/ML deliverables

      Required Skills & Experience

    • 6 years in ML engineering or AI engineering roles

    • Strong Python: ML frameworks (scikit-learn, PyTorch, or TensorFlow) and LLM/GenAI tooling

    • Experience with AWS ML services: SageMaker, Bedrock

    • Familiarity with event streaming platforms: Kafka, Confluent, or RedPanda

    • Exposure to Claude APIs, RAG architectures, or agentic workflow patterns

    • Working knowledge of CI/CD pipelines: Bitbucket, Argo

    • Awareness of PCI DSS and dataprivacy requirements

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