Machine Learning Engineer

About PersistentWe 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 Position:Role: Staff Applied Machine Learning EngineerLocation: PolandExperience: 5+ YearsJob Type: Contract/B2BMandatory Mention 3 skills: ML, AI, LLM, RAGExpertise You'll Bring:5+ years of experience in applied machine learning or a closely related engineering disciplineDemonstrated, 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 divergenceTrack record of shipping ML to production—models that served real traffic and real clients, not only notebooks, papers, or proofs of conceptEnd-to-end ownership of at least one meaningful ML-powered system or product, from problem framing through production and ongoing operationProficiency in Python and the standard ML/data stack, including LLM/agent orchestration and RAG, vector databases, and AWS cloud infrastructureDemonstrated 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 scriptsStrong software-engineering fundamentals sufficient to write production-quality code and own a service end to end, not only throwaway scripts or exploratory notebooksComfort starting in ambiguity without a detailed spec, and a visible bias toward iterative delivery over big-bang completionExperience 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 documentationPreferred QualificationsBachelor’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 metricRetail, e-commerce, or marketplace domain experienceExperience making LLM/agentic systems reliable and safe in production, including guardrails, evaluation suites, and monitoring, beyond prototypingAWS-native, event-driven or serverless architecture experience (the platform these products run against is AWS, TypeScript, and streaming/event-driven)Experience founding, co-founding, or joining a product company early, demonstrating ownership of outcomes rather than only modelsStrong communication skills—able to explain ML trade-offs, failure modes, and design decisions clearly to technical and non-technical stakeholdersLow 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.Benefits:Competitive salary and benefits packageCulture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certificationsOpportunity to work with cutting-edge technologiesEmployee engagement initiatives such as project parties, flexible work hours, and Long Service awardsAnnual health check-upsInsurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parentsValues-Driven, People-Centric & Inclusive Work Environment: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 backgrounds.We support hybrid work and flexible hours to fit diverse lifestyles.Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employmentLet’s unleash your full potential at Persistent “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”