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MLOps Engineer (Freelancer)

0 years

0 Lacs

India

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

ai network cutting compensation ml mlflow sagemaker github jenkins gitlab automate engineering deployment docker kubernetes airflow model security optimization aws gcp azure python tensorflow pytorch vertex monitoring data processing spark kafka testing

Work Mode

Remote

Job Type

Part Time

Job Description

AI Opportunities with Soul AI’s Expert Community! Are you an MLOps Engineer ready to take your expertise to the next level? Soul 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: 1. Proficiency in Python, TensorFlow, PyTorch, CI/CD pipelines 2. Hands-on experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML) 3. Expertise in monitoring tools (MLflow, Prometheus, Grafana) 4. Knowledge of distributed data processing (Spark, Kafka) ( Bonus: Experience in A/B testing, canary deployments, serverless ML) Next Steps: 1. Register on Soul AI’s website 2. Get shortlisted & complete screening rounds 3. Join our Expert Community and get matched with top AI projects Don’t just find a job. Build your future in AI with Soul AI! Show more Show less

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