MLOps Engineer (Freelancer)
Soul AI · Bengaluru · onsite · Posted 36d ago
Undisclosed1–4 yrsfulltimeSourced from
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About this role
AI Opportunities with Soul AIs Expert Community!.
Are you an MLOps Engineer ready to take your expertise to the next levelSoul AI (by Deccan AI) is building an elite network of AI professionals, connecting top-tier talent with cutting-edge projects.
Why Join.
Above market-standard compensation.
Contract-based or freelance opportunities (2"“12 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).
(BonusExperience in A/B testing, canary deployments, serverless ML).
Next Steps:.
Register on Soul AIs website.
Get shortlisted & complete screening rounds.
Join our Expert Community and get matched with top AI projects.
Dont just find a job.
Build your future in AI with Soul AI!.
Are you an MLOps Engineer ready to take your expertise to the next levelSoul AI (by Deccan AI) is building an elite network of AI professionals, connecting top-tier talent with cutting-edge projects.
Why Join.
Above market-standard compensation.
Contract-based or freelance opportunities (2"“12 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).
(BonusExperience in A/B testing, canary deployments, serverless ML).
Next Steps:.
Register on Soul AIs website.
Get shortlisted & complete screening rounds.
Join our Expert Community and get matched with top AI projects.
Dont just find a job.
Build your future in AI with Soul AI!.
Sourced from naukri
Skills
JenkinsPrometheusDevopsGrafanaDockerKubernetesGithubAzure DevopsAws SagemakerApache SparkApache Kafkagoogle cloud platformamazon web servicesfreelancinggitlab cici/cd pipelinePytorchTensorflowPythonSpring BootJavaMicrosoft AzureCi/Cd
About Soul AI
Soul AI
Emerging Technologies
₹9.4L PA avg
Avg at Soul AI
About
Soul AI provides advanced AI solutions, specializing in the curation of specialized datasets to enhance the performance of large language models globally.
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Culture
3.5
Career growth
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3.9
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