V
MLOps Engineer
V
MLOps Engineer
Vinovaai Private Limited5-9 Years
₹ 10 - 12.5 LPA
This job is no longer accepting applications
Job Description
Title: MLOps Engineer
Location: Remote
Exp: 5-9yrs
Skills: K8s,Docker, Sagemaker/Vertex, Github Actions, Mlflow, Kubeflow
• Build CI/CD pipelines for model training, validation, and promotion.
• Operate model registries and enforce lineage, versioning, and approval gates.
• Automate retraining triggers driven by drift and performance thresholds.
• Containerize workloads and run them on Kubernetes, SageMaker, or Vertex AI.
• Instrument monitoring for latency, cost, feature skew, and prediction quality.
• Manage GPU capacity, scheduling, and cost efficiency across environments
More Info
Job Type:
Employment Type:
About Company
Skills:
Aws Lambda, Python Automation, Cloudformation, Jenkins, Git, MLops, Docker, Terraform, Databricks, Training Pipelines, Feature Store, MLflow, Kubernetes EKS, Model Retraining, SageMaker, Drift Detection, Model Monitoring, Model Deployment, Kubeflow, Inference Pipelines, CI CD for ML
Skills:
SageMaker Unified Studio (SMUS), Managed Workflows for Apache Airflow (MWAA), Infrastructure as Code (IaC), Pyspark, Github, Amazon S3, MLops, AWS CloudFormation, Cloud migration strategies, AWS CDK, AWS Glue Data Catalog, AWS Lake Formation, aws-smus-cicd-cli, GitHub Actions, AWS SageMaker, JWT federation, EMR on EC2 clusters, AWS data and machine learning services, manifest.yaml, OIDC
Skills:
Algorithms, Restful Api, Pytorch, Docker, Sqs, Sns, data structures, Python, Inferentia, complexity analysis, AWS Neuron, TensorRT, event-driven architectures, AWS serverless architectures, static code analysis tools, Problem-solving, ONNX, Trainium, AWS SageMaker, container orchestration
Skills:
Elk, Prometheus, Grafana, Docker, Python, AWS, Gcp, Azure, Kubernetes, Arize AI, vector databases, LangSmith, LangGraph, OpenTelemetry, RAG pipelines, Weights Biases, LangChain, AgentOps tools, cloud platforms, PromptLayer, LLM orchestration frameworks, monitoring observability tools, LlamaIndex, context orchestration
Skills:
Pyspark, Bash, Azure Databricks, Terraform, AWS CodePipeline, Kubernetes, Python, KubeFlow, Azure ML Studio, Github Actions, Fast API, AKS, AirFlow, Unix command line toolkit, GCP Vertex AI, AWS SageMaker, MLFlow