Senior Data Engineer

About US:

Straive is a global leader in data analytics and AI operationalization, helping enterprises embed advanced AI and data capabilities into core business workflows to deliver measurable business outcomes and ROI. With a workforce of 20,000 professionals serving 350+ clients across 30+ markets, Straive combines technical scale with deep domain expertise. A key differentiator is its network of over 6,000 subject matter experts who specialize in managing and enriching complex, unstructured data enabling organizations to build AI systems grounded in accuracy, context, and business relevance.

The company continues to earn recognition from leading industry analysts and was recently named a Leader in AIM's 2026 Generative AI and Data Engineering PeMa Quadrants. Backed by EQT a purpose-driven global investment organization which was ranked among the world's leading private equity firms by PEI in 2025 Straive is positioned as a high-value alternative to traditional IT services providers, combining domain-led intelligence with AI execution at scale.

Role & responsibilities:

•Deploy and monitor production AI models across Azure services ensuring system availability and

reliability.

• Implement robust telemetry frameworks to track model performance, data drift, and inference

metrics.

• Build and maintain automated MLOps pipelines for continuous integration and lifecycle management using Azure ML and GitHub Actions.

•Manage end-to-end model upgrades including APIs and UIs with structured rollout, version control, and rollback mechanisms.

•Optimize cloud infrastructure performance and compute costs through rigorous profiling, testing, and tuning of inference pipelines.

• Ensure compliant change management practices across all deployments to meet enterprise security and auditability standards.

• Collaborate with cross-functional teams including AI Developers, Cloud Architects, and Governance leaders to scale operations

Preferred profile

Experience: 4+ years of professional experience in MLOps and/or AIOps roles. Consulting background is highly preferred.

Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.

Technical Expertise: Strong proficiency in Azure cloud tools including Azure ML, Synapse, Data Lake, Cosmos DB, and Azure AI Foundry.

Automation & Testing: Hands-on experience with workflow design (Prompt flow), Azure DevOps, and inference performance testing tools like Locust or K6.

Advanced ML Concepts (Assumed): Familiarity with post-training techniques like fine-tuning, instruction tuning, model evaluation metrics, and A/B testing frameworks.

Job Location - Mumbai or Bangalore

Work mode - Hybrid

Straive is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.