Soul Ai
MLOps Engineer
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Hyderabad, Telangana, India
Work mode:
Onsite
Published on:
15 September 2026
What they need
Why Join?
Above market-standard compensation
Contract-based or freelance opportunities (212 months)
Work with industry leaders solving real AI challenges
Flexible work locations Remote | Onsite | Hyderabad/Bangalore
Your Role:
Architect and optimize ML infrastructure with Kubeflow, MLflow, SageMaker Pipelines
Build CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI/CD)
Automate ML workflows (feature engineering, retraining, deployment)
Scale ML models with Docker, Kubernetes, Airflow
Ensure model observability, security, and cost optimization in cloud (AWS/GCP/Azure)
Must-Have Skills:
Proficiency in Python, TensorFlow, PyTorch, CI/CD pipelines
Hands-on experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML)
Expertise in monitoring tools (MLflow, Prometheus, Grafana)
Knowledge of distributed data processing (Spark, Kafka)
(Bonus: Experience in A/B testing, canary deployments, serverless ML)
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