MLOps Engineer (Freelancer)
ConfidentialBengaluru / Bangalore30+ days ago
Job descriptionArchitect and optimize ML infrastructure using Kubeflow, MLflow, and SageMaker Pipelines Build and maintain CI / CD workflows with GitHub Actions, Jenkins, GitLab CI / CD Automate full ML pipelines for feature engineering, model retraining, and deployment Scale ML models using Docker, Kubernetes, and Airflow Ensure observability, security, and cost optimization in AWS, GCP, or Azure environments Proficiency in Python, TensorFlow, PyTorch, and CI / CD tooling Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML) Familiarity with monitoring tools such as MLflow, Prometheus, Grafana Working knowledge of distributed data systems (e.g., Apache Spark, Kafka) Experience with A / B testing, canary deployments, and serverless ML infrastructure Exposure to generative AI and scalable deployment of LLMs Register on the Soul AI website Get shortlisted by the team Clear screening rounds and join the expert community Get matched with top-tier AI projects
Are you an MLOps Engineer ready to elevate your expertise Soul AI (by Deccan AI) is building a high-caliber network of professionals to collaborate on cutting-edge AI initiatives. This is your chance to solve real-world AI challenges alongside industry leaders.
Why Join
- Compensation above market standards
- Flexible contract durations (2 to 12 months)
- Opportunities for freelance or contract-based work
- Work remotely, onsite with clients, or from Soul AI offices in Hyderabad or Bangalore
- Become part of an exclusive community of AI experts
Your Role
Must-Have Skills
Bonus Skills
Next Steps
Skills Required
Continuous Integration, Tensorflow, Pytorch, Python, Kubernetes
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Mlops Engineer • Bengaluru / Bangalore