{"id":163881,"date":"2026-06-30T10:43:30","date_gmt":"2026-06-30T10:43:30","guid":{"rendered":"https:\/\/devsdata.com\/?post_type=job_offers&p=163881"},"modified":"2026-06-30T10:43:30","modified_gmt":"2026-06-30T10:43:30","slug":"machine-learning-engineer-662568","status":"publish","type":"job_offers","link":"https:\/\/devsdata.com\/sv\/careers\/job\/machine-learning-engineer-662568\/","title":{"rendered":"Machine Learning Engineer"},"template":"","class_list":["post-163881","job_offers","type-job_offers","status-publish","hentry"],"acf":{"is_recommended":0,"company_info":"US-based engineering and product leadership team","min_salary":6000,"max_salary":7000,"currency":"USD","contract_type":"contract_net","type":"remote","city":"","employment":"full-time","technologies":["PYTHON","AI\/MI","Other"],"recruiter_name":"Nenad Hrisafovic","recruiter_email":"nenad@devsdata.com","recruiter_photo":161156,"short_description":"","key_points":"Salary: 6,000-7,000 USD\/Month\r\nFull-time\r\nCoE\r\nHybrid, Warsawa","long_description":"We are looking for a Machine Learning Engineer for a global leader in unified marketing measurement and optimization, recognized by leading industry analysts. The role sits within a NextGen investment initiative, focused on expanding AI\/ML capabilities through predictive analytics, generative AI, and agentic systems.","requirements":"Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-Learn, XGBoost, etc.)\r\nExperience with data pipelines and deploying ML systems in cloud environments (AWS, SageMaker, Docker, Kubernetes)\r\nHands-on production experience with LLMs and generative AI services (AWS Bedrock, Anthropic Claude, OpenAI, or comparable)\r\nStrong foundations in algorithms, data structures, and software engineering\r\nAttention to detail with a focus on quality control and versioning","nice_to_have":"Advanced degree (Master's or Ph.D.) in CS, ML, applied mathematics, statistics, or related field\r\nExperience designing automated evaluation, quality monitoring, or self-correction systems for AI\/ML applications\r\nFamiliarity with numerical programming and optimization methods\r\nBackground in marketing analytics or communicating technical tradeoffs to non-technical stakeholders","responsibilities":"Design, develop, and test end-to-end machine learning systems\r\nImplement machine learning and statistical algorithms\r\nBridge the gap between data scientists and software engineers \u2014 translating analytical specs into production-ready applications\r\nBuild prototypes and MVPs from minimal proofs of concept\r\nApply generative AI and agentic approaches to synthetic data generation, model hypothesis development, and automated quality review","what_do_we_offer":"","why_work_with_us":""},"_links":{"self":[{"href":"https:\/\/devsdata.com\/sv\/wp-json\/wp\/v2\/job_offers\/163881","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/devsdata.com\/sv\/wp-json\/wp\/v2\/job_offers"}],"about":[{"href":"https:\/\/devsdata.com\/sv\/wp-json\/wp\/v2\/types\/job_offers"}],"wp:attachment":[{"href":"https:\/\/devsdata.com\/sv\/wp-json\/wp\/v2\/media?parent=163881"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}