ML OPS Engineer
- Aziro
- 3 - 7 years
- Pune
- 4 months ago
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Job Description
Key Responsibilities
- Develop, deploy, and maintain ML services using Langserve for efficient model serving.
- Monitor model performance and manage observability using Langfuse.
- Containerize applications and services using Docker for consistent development and production environments.
- Orchestrate and manage containerized workloads using Kubernetes (EKS/GKE/AKS or self-managed).
- Write and maintain Groovy scripts for automation and CI/CD pipelines.
- Collaborate with data scientists, backend engineers, and DevOps teams to ensure smooth ML model delivery.
- Optimize infrastructure cost, reliability, and scalability for ML workflows.
- Implement monitoring, alerting, and logging best practices.
Required Skills
- Proven experience in ML Ops and deploying machine learning models in production.
- Hands-on knowledge of Langserve for LLM or ML model inference.
- Experience using Langfuse for logging, tracing, and monitoring LLM applications.
- Strong understanding of Docker and containerization best practices.
- Expertise with Kubernetes and managing cloud-native environments.
- Solid scripting skills in Groovy, especially in Jenkins or CI/CD automation.
- Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI).
- Working knowledge of cloud services (AWS, GCP, or Azure).
Preferred Qualifications
- Experience with LLMOps or working on LLM-based pipelines.
- Familiarity with observability stacks (Prometheus, Grafana, ELK).
- Exposure to infrastructure-as-code (Terraform, Helm, etc.).
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: AziroLocation(s): Pune+ View Contact
Keyskills: Groovy Machine Learning Docker langserve Kubernetes
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About Aziro: Aziro is a trusted partner in Software Product Engineering Services and Digital Transformation projects, serving Fortune 100 companies, Silicon Valley-based ISVs, and global enterprises. Clientele & Global Presence: As an ISO 27001 and Great Place To Work Certified company, we co...
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