MLOps Engineer

Are you an MLOps Engineer seeking impactful opportunities? Soul AI (by Deccan AI) is assembling an elite collective of AI experts for challenging, high-impact projects. We offer attractive, above-market compensation for contract-based or freelance roles ranging from 2 to 12 months. Collaborate with industry pioneers on real-world AI challenges. Enjoy flexible work arrangements, including remote, onsite, or hybrid options in Hyderabad and Bangalore.

Your Responsibilities:

• Architect and optimize robust ML infrastructure using tools like Kubeflow, MLflow, and SageMaker Pipelines.
• Develop and maintain CI/CD pipelines for seamless ML model deployment (GitHub Actions, Jenkins, GitLab CI/CD).
• Automate end-to-end ML workflows, including feature engineering, model retraining, and deployment processes.
• Scale ML models efficiently using containerization and orchestration technologies such as Docker, Kubernetes, and Airflow.
• Ensure comprehensive model observability, security, and cost optimization across major cloud platforms (AWS, GCP, Azure).

Essential Qualifications:

• Proficiency in Python, TensorFlow, PyTorch, and CI/CD methodologies.
• Hands-on experience with leading cloud ML platforms including AWS SageMaker, GCP Vertex AI, and Azure ML.
• Expertise in monitoring tools such as MLflow, Prometheus, and Grafana.
• Solid understanding of distributed data processing frameworks like Spark and Kafka.
• Bonus: Experience with A/B testing, canary deployments, and serverless ML architectures.