By combining the latest payment technologies with imagination and expertise, we create a new world of payments.
ML Platform Engineer – Contractor
Location
Romania
Posted
2 days ago
Salary
0
Seniority
Senior
Job Description
ML Platform Engineer – Contractor
myPOS
• Build and maintain MLOps automation end-to-end: CI/CD for models and pipelines, environment management, artifact versioning (models, data, prompts, code), and release governance • Implement and operate model serving infrastructure: deployment patterns (blue/green, canary, shadow), endpoint management, scaling, and latency/throughput optimisation • Build and maintain training and experimentation infrastructure: job orchestration, compute provisioning, experiment tracking, hyperparameter management, and reproducibility tooling • Implement observability for ML systems: data quality checks, feature drift detection, model performance monitoring, bias checks, alerting, and incident response workflows • Build and maintain data pipelines for ingestion, transformation, feature engineering, and export across multiple sources and destinations • Design and maintain a feature store or feature platform layer: serving consistency, point-in-time correctness, and reuse across teams • Expose well-governed datasets, features, and APIs that models, pipelines, and downstream consumers can rely on • Enforce secure data handling and compliance with relevant data protection standards, access controls, and audit requirements • Contribute to documentation, platform standards, and continuous improvement of ML engineering processes across teams
Job Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience)
- 5+ years of Data or ML Engineering experience, with at least 3 years shipping ML systems to production.
- Strong Python skills (typed code, async, testing) and solid SQL fluency.
- Hands-on MLOps experience: model registries, experiment tracking (MLflow or Vertex Experiments), pipeline orchestration, and reproducible training runs.
- Strong DevOps fundamentals: CI/CD (GitHub Actions, Cloud Build, or similar), IaC (Terraform), containerization (Docker).
- Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
- Experience building and maintaining data pipelines with orchestrators (Airflow/Composer, Dagster) and distributed engines (Spark, BigQuery)
- Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments
- Collaborative mindset and clear communication across engineering, analytics, and business stakeholders
Benefits
- Annual salary reviews, promotions and performance bonuses
- myPOS Academy for upskilling and training
- Unlimited access to courses on LinkedIn Learning
- Annual individual training and development budget
- Refer a friend bonus as we know that working with friends is fun
- Teambuilding, social activities and networks on a multi-national level
Related Guides
Related Categories
Related Job Pages
More Platform Engineer Jobs
AI Agent Engineer with Copilot Studio and Power Platform (She/He/They)
CapcoCapco, a Wipro company, is a management & technology consultancy dedicated to the financial services & energy industries
CAPCO POLANDWe are looking for a Poland-based candidate. This is hybrid role 1-2 times from Kraków office per month. At Capco Poland, we're not just another consultancy – we're the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we help clients tackle complex challenges across banking, payments, capital markets, wealth, and asset management. ROLE OVERVIEWWe are seeking an experienced AI Agent Engineer (Power Platform & Copilot Studio) to join our growing team and support the development of AI-driven automation solutions across enterprise business processes. This role requires strong hands-on experience with Microsoft Power Platform, particularly Copilot Studio, alongside a solid understanding of Generative AI concepts and conversational AI development. You will be responsible for designing, developing, and deploying intelligent AI agents that improve operational efficiency, enhance user experiences, and drive business value. Working in an Agile environment, you will collaborate closely with business stakeholders, product owners, and technology teams to deliver scalable, secure, and high-quality AI solutions aligned with best practices and governance standards. KEY RESPONSIBILITIESAI Agent Development - Design, develop, and deploy AI agents and automation solutions to support business process optimization. - Build and maintain conversational AI solutions using Microsoft Copilot Studio and the wider Power Platform ecosystem. - Design effective conversational flows and user experiences. - Integrate AI solutions with enterprise applications, APIs, and business processes. - Implement monitoring, analytics, and continuous improvements to enhance solution performance and adoption. Solution Delivery - Collaborate with business and technology stakeholders to gather requirements and define solution designs. - Translate business needs into scalable and maintainable AI-powered solutions. - Ensure solutions follow software development best practices, including documentation, testing, and code quality standards. - Support deployment, maintenance, and enhancement of existing solutions. Governance & Innovation - Ensure compliance with security, privacy, and governance requirements. - Promote responsible AI practices, including transparency, explainability, and ethical AI principles. - Stay up to date with emerging AI technologies and recommend innovative approaches and tools. - Contribute to technical standards, best practices, and knowledge sharing across teams. KEY REQUIREMENTSTechnical Skills - Proven experience developing and deploying AI agents, chatbots, virtual assistants, or conversational AI solutions. - Strong hands-on experience with Microsoft Copilot Studio and Microsoft Power Platform (Power Apps, Power Automate, Power BI). - Strong understanding of Generative AI concepts, including RAG (Retrieval-Augmented Generation), prompt engineering, and LLM-based solutions. - Experience integrating AI solutions with enterprise systems, APIs, and cloud services. - Familiarity with Microsoft Azure and related AI services. - Understanding of secure development practices, testing approaches, and performance monitoring. - Experience implementing analytics and monitoring for AI-driven solutions. - Knowledge of programming languages such as Python, C#, or JavaScript is an advantage. - Experience working in Agile environments and using tools such as Jira or Azure DevOps. Professional Skills - Proven experience in a similar AI Engineering, Automation, or Power Platform development role. - Strong problem-solving and analytical skills. - Ability to communicate complex technical concepts to both technical and non-technical audiences. - Excellent stakeholder management and collaboration skills. - Ability to work independently and manage multiple priorities in a fast-paced environment. - Strong written and verbal communication skills in English. Nice to Have - Experience within banking, financial services, or regulated environments. - Knowledge of Responsible AI frameworks and governance practices. - Microsoft certifications related to Power Platform, Azure AI, or Copilot Studio. WHAT WE OFFERWe offer a flexible collaboration model based on a B2B contract, with the opportunity to work on innovative AI and automation initiatives for leading financial institutions. RECRUITMENT PROCESS - HR Interview with Recruiter - Technical Interview with Hiring Manager - Client Interview - Feedback and Offer Joining Capco means joining an organization that is committed to an inclusive working environment where you're encouraged to #BeYourselfAtWork. #LI-HYBRID
D365 ERP & Data Platform Engineer
Elvis Eckardt RecruitmentIf you don't have time to recruit yourself, use us - WE LOVE IT.
• Run and support the live D365 F&O environment • Act as a key point of contact between business users and technical teams • Ensure ERP data is accurate, structured, and available to internal stakeholders • Maintain and improve integrations between D365, Azure, Microsoft Fabric, and Power BI • Troubleshoot issues, identify root causes, and implement improvements • Improve reporting consistency, data quality, and governance • Support business users and help develop internal capability • Document processes and establish scalable platform practices
• Automate and reliably operate the infrastructure of the Internal Developer Platform (IDP) • Automate cloud infrastructure using Terraform and OpenTofu • Maintain cloud architecture and cloud networking • Help shape the observability stack and resolve infrastructure issues • Provide technical support for upcoming cloud migration projects
Senior Software Developer - AI-Native .NET/Azure (Cloud Platform)
DayforceDayforce is a global HCM platform offering a comprehensive array of services encompassing payroll, HR, benefits, workforce management, talent, and analytics. With the mission of "m
Role Description The Dayforce Tax and Payments (DTP+) Product Engineering team is building the industry's next generation of Tax and Financial Services — a cloud-native, microservices-based platform on Azure that is replacing a decade-old monolithic system and handling hundreds of billions of dollars in tax liability and fund movement annually. This is not a role for someone planning to adopt AI tooling someday. We are looking for engineers who are already working AI-natively — developers who reach for Copilot, Claude, or an LLM API the same way they reach for a compiler. You use AI to write, review, test, and reason about code every day. That is the baseline. What we want to build on top of that baseline is deep platform engineering skill, strong fundamentals, and the kind of technical judgment that comes from having shipped real things. As a Senior Software Developer on a DTP+ scrum team, you will: - Design and deliver platform features across the Collections, Payments, Customer Profile, Agency Compliance, and eFile services. - Work directly with Architects, Product Managers, and peer developers to shape technically sound, well-engineered solutions for a platform that North American employers and regulators depend on. If you are a senior or lead engineer who takes pride in clean code, thinks carefully about system design, and is genuinely excited about the shift to AI-augmented software delivery — we want to talk. What you'll get to do: - Design and deliver highly scalable, event-driven microservices features across the DTP+ platform — from data ingestion through fund movement and compliance filing. - Work AI-natively every day — use AI coding tools (GitHub Copilot, Cursor, Windsurf, or equivalent) as a primary productivity layer for feature development, code review, and debugging. - Integrate LLM APIs and AI patterns where they add genuine product value — including calling Azure OpenAI or equivalent APIs, building prompt chains, and applying RAG patterns to real features. - Contribute to the team's AI practices — share what works, help teammates level up on AI-assisted testing and code review, and bring new patterns to the scrum team's workflow. - Drive design and code reviews, ensuring solutions are clean, testable, performant, and consistent with platform conventions. - Write high-quality unit, integration, and regression tests — including AI-generated test suites where appropriate. - Mentor fellow developers on software engineering fundamentals, clean code principles, and AI-augmented development practices. - Build working proof-of-concepts and make concrete technology recommendations to improve scalability, maintainability, and quality. - Participate in Product discussions to advise on and influence the DTP+ roadmap. - Take ownership of development initiatives end-to-end — design, implement, test, ship, and support. Qualifications - AI-Native Development — Must Have - Daily, hands-on use of AI coding tools — GitHub Copilot, Cursor, Windsurf, or equivalent. - Experience integrating LLM APIs (Azure OpenAI, OpenAI, Anthropic, or equivalent). - Working knowledge of RAG design patterns and prompt engineering. - Familiarity with tool-calling and MCP integration patterns. - AI-assisted testing practices. Requirements - Strong object-oriented design and programming skills in C# / .NET / .NET Core (primary) or Java. - Proficiency with SQL on modern relational databases. - Hands-on experience applying design patterns, writing comprehensive unit and integration tests. - Strong understanding of microservices architecture. - Production experience building and deploying services on Microsoft Azure. - Hands-on experience with Apache Kafka or Confluent Cloud. - Docker and Kubernetes experience. - NoSQL databases experience. - CI/CD pipelines as code using Azure DevOps, GitHub Actions, or equivalent. - Experience designing and implementing REST and/or gRPC APIs. Benefits - Medical, dental, vision, and life insurance. - 401k plan (plus match). - Global Employee Stock Purchase Plan. - Unlimited Time Away From Work. - 10 paid US holidays. - Up to 80 hours of paid sick time. - 17 weeks of paid parental leave. - Opportunities for community impact and personal growth.



