Natsoft · 2 weeks ago
MLOPS ENGINEER
San Francisco Bay Area
Contract
Hybrid
Mid LevelNatsoft is seeking a hybrid Data Science & ML Ops Engineer to drive the full lifecycle of machine learning solutions. This role bridges the gap between data science model development and production-grade ML Ops Engineering, focusing on developing predictive models and maintaining ML pipelines.
ConsultingEnterprise ApplicationsInformation Technology
Hiring Manager
Kashaf Khan
Responsibilities
Develop predictive models using structured/unstructured data across 10+ business lines, driving fraud reduction, operational efficiency, and customer insights
Leverage AutoML tools (e.g., Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment
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
Qualification
Required
Strong proficiency in 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
Natsoft
Natsoft was established in the year 2004 with an intent to provide Software Development and System Integration Services.
Founded in 2004
501-1000 employees
H1B Sponsorship
Natsoft has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (242)
2024 (199)
2023 (262)
2022 (359)
2021 (324)
2020 (378)
Funding
Current Stage
Late StageLeadership Team
Timmy Cheedala
Founder & CEO
Recent News
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