MLOps/AI Engineer/ Data Scientist

Capco
Krakow
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: bachelorsSkills: ["Problem-solving","Engineering mindset","Communication","Collaboration","Curiosity"]

Design, develop, and productionize AI and machine learning solutions that address real business challenges. Work across machine learning, generative AI, and LLMs (including RAG and agents), building robust AI applications and services. Own the full lifecycle with ML pipelines for experimentation through deployment, monitoring, and continuous improvement using Python, APIs, microservices, and cloud-native MLOps practices. Collaborate with engineers, data scientists, architects, and stakeholders.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Capco
Capco
1 day ago

MLOps/AI Engineer/ Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Design, develop, and productionize AI and machine learning solutions that address real business challenges. Work across machine learning, generative AI, and LLMs (including RAG and agents), building robust AI applications and services. Own the full lifecycle with ML pipelines for experimentation through deployment, monitoring, and continuous improvement using Python, APIs, microservices, and cloud-native MLOps practices. Collaborate with engineers, data scientists, architects, and stakeholders.
Location: Krakow
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and productionize innovative AI and machine learning solutions addressing business challenges.
  • •Explore and implement modern approaches across ML, generative AI, LLMs, and intelligent automation.
  • •Build robust AI applications and services using Python, APIs, microservices, and cloud-native technologies.
  • •Design and maintain ML/AI pipelines from experimentation and training through deployment, monitoring, and continuous improvement.
  • •Apply MLOps/DevOps/software engineering practices and tools (e.g., Docker, Kubernetes, CI/CD, observability) to support production-grade AI workloads.

Key Requirements

  • •4+ years of professional experience in software engineering, data science, machine learning, MLOps, AI engineering, or a related field.
  • •University degree in Computer Science, Mathematics, Physics, Engineering, or equivalent practical experience.
  • •Strong Python skills and hands-on experience developing and evaluating ML/statistical/AI models with solid ML fundamentals (experimentation, feature engineering, validation, performance evaluation).
  • •Experience taking ML solutions beyond experimentation into real-world applications.
  • •Strong problem-solving and an engineering mindset with the ability to communicate technical ideas and collaborate in an Agile environment.
Experience:4+ yearsBankingFinancial servicesHighly regulated industry
Education:Bachelor's in Computer Science, Mathematics, Physics, Engineering (or another relevant discipline)
Skills:Problem-solvingEngineering mindsetCommunicationCollaborationCuriosity
Tech Stack:PythonAPIsMicroservicesCloud-nativeMachine LearningGenerative AILarge Language ModelsLLMsRAGAgentsDockerKubernetesCI/CDModel registriesMonitoringObservabilityLangChainHaystackKubeflowVector search

Company Brief

Capco
Global management and technology consultancy specializing in financial services. Capco advises banks, insurers, and capital markets firms on digital transformation, risk and compliance, technology implementation, and operational improvement, combining industry expertise with advisory and engineering capabilities.
Industry: Management Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: London, United Kingdom
Founded: 1998
Glassdoor
Glassdoor: 3.7
WebsiteLinkedIn