AI/ML | Remote | Be the Core of AI/ML Innovation

5 days ago

Mumbai, Maharashtra, India VOPAIS Full time ₹ 12,00,000 - ₹ 36,00,000 per year

About Vopais:

At Vopais, we're building a next-gen AI Center of Excellence to democratize AI and ML for both technical and business users, accelerating the adoption of advanced analytics, automation, and GenAI outcomes worldwide.

Your Mission:

As the 
AI/ML Technical Capability Owner
, you will architect, enforce, and evangelize the "golden paths" of AI/ML delivery spanning reference architectures, toolset curation, and technical enablement. You'll bridge teams from enterprise architects to data science, security, and business units, ensuring scalable and compliant AI/ML solutions.

Key Responsibilities:

  • Platform Strategy Ownership:
     Drive end-to-end technical strategy and roadmap for the AI CoE. Set technical guardrails, accelerators, reference patterns, and default standards for AIML delivery.
  • Technical Blueprinting:
     Architect, document, and maintain reusable frameworks and modules on AWS and Databricks (batch/streaming, feature stores, RAG/GenAI, agentic AI, CI/CD).
  • Tools and Platform Curation:
     Curate, evaluate, and drive adoption of essential toolsets for Data, ML, GenAI, and MLOps—across Databricks Lakehouse, MLflow, Feature Store, AWS S3, Lambda, Bedrock, KMS/IAM, etc.
  • Governance and Risk Compliance:
     Set and enforce standards for experiment tracking, model registry, PII compliance, data lineage, security, and incident response. Contribute improvements to company's AI Policy.
  • Community Leadership:
     Lead and grow engineering guilds, organize enablement workshops, drive adoption of best practices, and support "train-the-trainer" models for scaling impact.
  • Collaboration and Acceleration:
     Advise on architecture reviews, promote the use of shared services (feature store, model registry), and champion quick resolution of technical blockers.
  • Evangilism and Reporting:
     Present successes, KPIs, adoption wins, and technical value to both executive and engineering stakeholders. Create tech talks, memos, and deep dives.

What makes you a great fit:

  • 8–12 years' experience in data/ML platform engineering or ML architecture (at least 3 yrs designing on AWS and Databricks)
  • Hands-on building reference architectures, accelerators, CI/CD for ML, and large-scale ML/GenAI solutions
  • Deep experience with MLOps: MLflow, model registry, feature stores, observability, testing
  • Working knowledge of GenAI tech: RAG, vector search, prompt orchestration, safety, evaluation
  • Security-first mindset: KMS, IAM, cloud network/data controls, compliance
  • Excellent influencer across technical and business teams. Skilled at organizing guilds/workshops and presenting at all levels.
  • AWS/Databricks certifications, IaC (Terraform), Kubernetes, Unity Catalog, and/or experience in industrial IoT/edge is a plus

Location:
 Remote

Salary:
Competitive

How to apply:

Send your CV and a brief cover letter detailing your fit to  Please read the full JD before applying.

hiring #remotework #AI #machinelearning #databricks #aws #mlops #genai #aijobs #techtalent #leadership #vopais #careers

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