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AC
acsii

Senior Data Engineer

Pune · Staff/Principal

Older listing - lower visibility likelyVerified listingPosted 79d ago

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97Experience

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Skills required

9 listed
CI/CDFeature StoreCloud InfrastructureAgentic AIAmazon Web ServicesMLOps (Machine Learning Operations)Microsoft AzureLarge Language Models (LLMs)+1 more
CI/CDFeature StoreCloud InfrastructureAgentic AIAmazon Web Services

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Job description

Position: Senior Data Engineer

Location: Pune

Job Responsibilities:

• Design, develop, and maintain scalable data pipelines using AWS services.
• Design and implement scalable, secure, and resilient MLOps architecture across cloud and on-prem environments
• Define best practices for model lifecycle management, including versioning, deployment, monitoring, and governance
• Lead the selection and integration of tools for CI/CD, model registry, feature store, and data pipelines
• Automate workflows for data ingestion, preprocessing, training, validation, and deployment
• Establish monitoring and alerting systems for model performance, data drift, and infrastructure health
• Ensure reproducibility, traceability, and compliance with regulatory standards • Work closely with data scientists, data engineers, software developers, and DevOps teams
• Mentor junior engineers and promote a culture of continuous learning and innovation
• Translate business requirements into scalable AI/ML solutions
• Evaluate emerging technologies and frameworks to enhance MLOps capabilities

Ideal Candidate will have:

• Strong, hands-on experience in data engineering — pipelines, cloud infrastructure, data architecture, and production-grade deployments
• Demonstrated experience with cloud platforms (AWS required; Azure and/or GCP a strong plus)
• Comfort working in AI and agentic AI contexts — experience with LLM infrastructure, agent frameworks, evaluation pipelines, or observability tooling is highly valued
• Proficiency in Python and modern data/ML engineering tooling
• Experience with CI/CD practices, containerization, and DevOps principles applied to data and AI systems
• Ability to operate across the full stack — from raw data through model serving infrastructure
• 7+ years of progressive data engineering experience, with demonstrated growth in scope and technical ownership.
• Track record of leading technical projects or workstreams, not just executing within them.
• Experience in distributed or global team environments is a plus

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

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Join WhatsAppJoin Telegram

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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