ML Ops Engineer

Success In Cloud, Inc. is seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions. The role involves developing and maintaining ML pipelines, automating model training and deployment, and collaborating with engineering teams to ensure model performance and compliance.

Responsibilities

• Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI
• Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS, Azure)
• Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining
• Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability)
• Collaborate with engineering teams to provision containerized environments and support model scoring via low-latency APIs
• Leverage AutoML tools (e.g., Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment

Skills

• 10+ Years of professional experience in Software Engineering & 3+ Years in AIML, Machine Learning Model Operations
• Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch)
• Experience with cloud platforms and containerization (Docker, Kubernetes)
• Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks
• Solid understanding of software engineering principles and DevOps practices
• Ability to communicate complex technical concepts to non-technical stakeholders

Company Overview

• Success In Cloud, Inc. is Salesforce Cloud Alliance Partner located in Frisco Texas. It was founded in 2013, and is headquartered in Frisco, Texas, USA, with a workforce of 2-10 employees. Its website is https://www.successincloud.com/.

Company H1B Sponsorship

• Success In Cloud, Inc. has a track record of offering H1B sponsorships, with 13 in 2025, 2 in 2024, 3 in 2023, 2 in 2022, 4 in 2021, 3 in 2020. Please note that this does not guarantee sponsorship for this specific role.