Machine Learning Engineer

Listed as a remote role based in Poland. About Persistent We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix® Assessment 2026 and Software Product Engineering PEAK Matrix® Assessment 2026 . About Positio n:Role: Staff Applied Machine Learning Engine erLocation: Pola ndExperience: 5+ Yea rsJob Type: Contract/B 2BMandatory Mention 3 skills: ML, AI, LLM, R AG Expertise You'll Bri ng: 5+ years of experience in applied machine learning or a closely related engineering discip lineDemonstrated, production-proven ML depth: able to reason from a commercial problem to an appropriate ML formulation, choose and justify the method, and explain how you would know it is working, including the failure modes such as leakage, drift, and offline/online metric diverg enceTrack record of shipping ML to production—models that served real traffic and real clients, not only notebooks, papers, or proofs of con ceptEnd-to-end ownership of at least one meaningful ML-powered system or product, from problem framing through production and ongoing opera tionProficiency in Python and the standard ML/data stack, including LLM/agent orchestration and RAG, vector databases, and AWS cloud infrastruc tureDemonstrated ability to build fast, reproducible data pipelines using managed cloud services, with a consistent pattern of automating data movement and preparation rather than hand-rolling one-off scr iptsStrong software-engineering fundamentals sufficient to write production-quality code and own a service end to end, not only throwaway scripts or exploratory noteb ooksComfort starting in ambiguity without a detailed spec, and a visible bias toward iterative delivery over big-bang comple tionExperience using AI tools (ChatGPT, Copilot, Claude, etc.) to accelerate and elevate your outcomes; including but not limited to communication drafting, data analysis, prompt engineering, and/or documenta tion Preferred Qualifica tionsBachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Statistics, or a related fieldExperience shipping a recommender, ranker, forecasting, or similar applied-ML product that demonstrably moved a business m etricRetail, e-commerce, or marketplace domain exper ienceExperience making LLM/agentic systems reliable and safe in production, including guardrails, evaluation suites, and monitoring, beyond protot ypingAWS-native, event-driven or serverless architecture experience (the platform these products run against is AWS, TypeScript, and streaming/event-dr iven)Experience founding, co-founding, or joining a product company early, demonstrating ownership of outcomes rather than only m odelsStrong communication skills—able to explain ML trade-offs, failure modes, and design decisions clearly to technical and non-technical stakeho ldersLow ego and high agency, you ask for help fast rather than spinning, makes colleagues better, and treats data-quality work and pipeline plumbing as core to doing ML well. Ben efits: Competitive salary and benefits packageCulture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifi cationsOpportunity to work with cutting-edge techn ologiesEmployee engagement initiatives such as project parties, flexible work hours, and Long Service awardsAnnual health ch eck-upsInsurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Values-Driven, People-Centric & Inclusive Work Envi ronment: Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all bac kgrounds. We support hybrid work and flexible hours to fit diverse l ifestyles.Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical dis abilities.If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment Let’s unleash your full potential at Persistent “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment o f any kind.” Show more Show less Seniority level Mid-Senior level Employment type Contract Job function Information Technology Industries IT Services and IT Consulting