{"id":2530659,"url":"https://alion.io/job/q2ebanking-staff-machine-learning-engineer","title":"Staff Machine Learning Engineer","company":{"id":179591,"name":"Q2 Holdings","domain":"q2.com","url":"https://alion.io/company/q2-holdings","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":81000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-08-14T00:00:00Z","employer_posted_date":"2026-08-14","last_verified_at":"2026-10-15T01:53:10Z","board_verified":true,"closed_at":null,"days_open":62,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":62},"description":"As passionate about our people as we are about our mission.\nWhy Join Q2?\nQ2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology-and we do that by empowering our people to help create success for our customers.\nWhat Makes Q2 Special?\nBeing as passionate about our people as we are about our mission. We celebrate our employees in many ways through our year-round Q2 ChangeMakers awards program and global moments of recognition and connection. We invest in the growth and development of our team members through ongoing learning opportunities, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun and giving back together. From company-wide volunteer days to events like our Q2 Homecoming Week-featuring learning, community service, and culture-building experiences-we create opportunities to connect, grow, and make an impact.\nSUMMARY\nThe Staff Machine Learning Engineer is a technical leader responsible for designing, building, and scaling production-grade AI systems that drive measurable business impact. This role goes beyond model development to owning end-to-end AI solutions-from problem definition through deployment, adoption, and continuous improvement.\nOperating within the AI Producer model, this role partners with Product, Engineering, and Delivery teams to translate high-value opportunities into scalable AI capabilities, including agentic workflows and GenAI-powered systems.\nRESPONSIBILITIESDesign and implement machine learning algorithms and models for various business applications\nConduct research and experimentation to advance machine learning capabilities\nCollaborate with cross-functional teams to integrate AI solutions into production environments\nAnalyze large datasets to extract meaningful insights and support data-driven decisions\nDevelop scalable machine learning pipelines and systems\nMaintain up-to-date knowledge of emerging AI and machine learning trends\nEnsure the quality and performance of AI systems through testing and validation\nProvide technical guidance and mentoring to junior engineers\nEXPERIENCE AND KNOWLEDGE\nBachelor’s degree in related field and 9-12 years relevant experience\nProven experience in ML model development and deployment\nStrong knowledge of statistics, optimization, probability theory, and experimental methodologies\nProficiency in programming languages such as Python, R, or Java\nExperience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn)\nFamiliarity with cloud platforms and scalable computing resources\n• Strong analytical, problem-solving, and collaboration skills\nThis position requires fluent written and oral communication in English.\nHealth & Wellness\nHybrid Work Opportunities\n\nFlexible Time Off\n\nCareer Development & Mentoring Programs\n\nHealth & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents\n\nCommunity Volunteering & Company Philanthropy Programs\n\nEmployee Peer Recognition Programs - “You Earned it”\n\nClick here to find out more about the benefits we offer.\nOur Culture & Commitment:\nWe’re proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare-offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (see more). We believe in making an impact-in the industry and in the community.\nWe are an Equal Opportunity Employer. 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