Drive Engineering Excellence in Enterprise AI
Yavar is revolutionizing enterprise intelligence through our groundbreaking private AI
platform. We create digital twins that unlock hidden potential within organizations,
transforming vast data landscapes into actionable intelligence. At this pivotal growth
moment, we're seeking an exceptional engineering leader to scale our development
capabilities and drive technical excellence.
Your Role & Impact
As an MLOps Engineer, you will play a crucial role in designing, implementing, and
optimizing machine learning pipelines for our AI-driven products. Working at the
intersection of data science, DevOps, and software engineering, you will ensure
seamless deployment, scalability, and monitoring of ML models. In this fast-paced
startup environment, you will drive innovation and reliability in our AI infrastructure,
enabling efficient and high-performance model operations.
Key Responsibilities
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Develop and manage end-to-end ML pipelines from training to production.
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Automate model training, validation, and deployment using CI/CD.
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Ensure scalability and reliability of AI systems with Docker & Kubernetes.
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Optimize ML model performance for low latency and high availability.
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Design and maintain cloud-based/hybrid ML infrastructure.
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Implement monitoring, logging, and alerting for deployed models.
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Ensure security, compliance, and governance in AI model deployments.
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Collaborate with Data Scientists, Engineers, and Product Managers.
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Define and enforce MLOps best practices (versioning, reproducibility, rollback).
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Maintain model registry and conduct periodic pipeline reviews.
Experience & Skills:
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5+ years in MLOps, DevOps, or Cloud Engineering.
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Strong experience in ML model deployment, automation, and monitoring.
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Proficiency in Kubernetes, Docker, Terraform, and cloud platforms (AWS, Azure, GCP).
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Hands-on with CI/CD tools (GitHub Actions, Jenkins).
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Expertise in ML frameworks (TensorFlow, PyTorch, MLflow, Kubeflow).
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Understanding of APIs, microservices, and infrastructure-as-code.
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Experience with monitoring tools (Prometheus, Grafana, ELK, Datadog).
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Strong analytical and debugging skills.
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Preferred: Cloud or MLOps certifications, real-time ML, ETL, and AI ethics knowledge.
Tools & Technologies:
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Cloud & Infrastructure: AWS, GCP, Azure, Terraform, Kubernetes, Docker.
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MLOps & Model Management: MLflow, Kubeflow, TFX, SageMaker.
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CI/CD & Automation: GitHub Actions, Jenkins, ArgoCD, Airflow.
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Monitoring & Logging: Prometheus, Grafana, ELK Stack, Datadog.
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Collaboration & Documentation: Slack, Confluence, JIRA, Notion.
Why Join Yavar?
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Join us at an exciting growth phase, working with cutting-edge AI technology and talented teams. This role offers competitive compensation, equity participation, and the opportunity to shape a world-class engineering organization. Your leadership will be crucial in turning our innovative vision into reality, creating products that reshape how enterprises harness artificial intelligence.
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*At Yavar, talent knows no boundaries. While experience matters, we value your drive for excellence and ability to execute. Ready to build the future of enterprise AI? We're eager to start a conversation.*
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To apply, please contact: digital@yavar.ai
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Location: Chennai / Coimbatore.
