Save Job Back to Search Job Description Summary Similar Jobs Added 27/05/2026Work on cutting-edge Generative AI & MLOps projects100% remoteAbout Our ClientThe employer is a large organisation operating within the professional services industry, known for delivering innovative solutions to its clients. It is committed to fostering a culture of excellence and providing its employees with opportunities to grow and thrive in their careers.Job DescriptionBuild and improve scalable MLOps and AI production pipelinesCreate annotation and model evaluation workflowsWork with tools like Label Studio and Scale AIDevelop ground truth datasets and golden setsImprove model quality, performance, latency, and cost-efficiencyImplement model monitoring, versioning, and evaluation frameworksBuild "model-as-a-judge" and PII scrubbing solutionsDevelop Python scripts, APIs, and integrationsCollaborate closely with Data Science, Engineering, and DevOps teamsIntegrate ML solutions within AWS and GCP environmentsSupport scalable vector embeddings and Generative AI ecosystemsTechnologies:PythonAWSSageMakerS3GCPVertex AILabel StudioScale AIAPIsMLOpsGenerative AIVector EmbeddingsThe Successful ApplicantStrong experience in MLOps and production ML environmentsHands-on experience with annotation and evaluation workflowsExcellent Python programming skillsExperience with AWS and GCP cloud platformsUnderstanding of model optimization and AI cost-efficiencyExperience with monitoring, versioning, and ML evaluation pipelinesWhat's on OfferPeople: work with talented, collaborative, and friendly people who love what they do.Guidance: utilize our learning platform to fully get the training and tools you'll need to become successful here from your first day with us.Surprise meal stipends: work from home can't stop the enjoyment of someone else making a meal for you!Work/life harmony: 26 days vacation, floating and set holidays, wellness allowance, and paid parental leave.Medical insurance, life insurance, and business travel insuranceStock options as part of our equity-sharing program.Comprehensive perks program providing stipends for cell phone and internet, home office setup, mental wellness, professional development and tuition reimbursement, plus occasional company-funded meal opportunities throughout the year.ContactDawid ZienkiewiczQuote job refJN-052026-7025934Job summarySectorInformation TechnologySub SectorIT ArchitectureIndustryTechnology & TelecomsLocationWarsawTyp umowyPermanentConsultant nameDawid ZienkiewiczJob ReferenceJN-052026-7025934Job NatureHome Office