MLOps Launchpad - 2 Weeks Assessment
SoftServe Inc.
About SoftServe
SoftServe is a technology services company specializing in autonomous enterprises with expertise in AI-native applications, physical and agentic AI, cloud, and data solutions. We help organizations decode complexity and unlock new opportunities by combining deep industry expertise, creative thinking, and precision engineering. From strategy through execution, we transform technology into a driver of growth, innovation, and lasting business impact for organizations across healthcare, financial services, retail, energy, manufacturing, and other industries.
About MLOps Launchpad
MLOps Launchpad operationalizes and scales machine learning workloads through modern MLOps practices, governance, and automation. It assesses ML maturity, establishes Azure ML deployment patterns, operationalizes selected workloads, and defines the governance and lifecycle practices needed to scale ML across teams.
What Makes a Difference
- Operationalization First - moves models from notebooks to production with repeatable train/deploy/monitor patterns
- Governance Built-In - ownership, approval gates, and auditability across training, deployment, and monitoring
- Azure-Native - built around Azure Machine Learning, aligned to Microsoft reference architecture and security standards
- Modular - start with assessment, foundation, or one workload, then expand to reusable MLOps capabilities
Engagement Path
- ML Readiness Assessment - 2 weeks maturity assessment, prioritized workload backlog, target-state architecture, roadmap
- Pilot Workload Operationalization - 5 weeks one workload packaged, trained, and deployed with CI/CD, model registry, monitoring
- MLOps Foundation - 7 weeks reusable Azure ML platform for experiment tracking, pipelines, deployment automation, access control
- Scale, Governance & Lifecycle - 12+ weeks operating model for scaling ML: governance, lifecycle policies, production support handover
Important Notes
Cost and timeline can fluctuate depending on the project's scope and complexity in alignment with the customer's needs.