{"id":1160086,"url":"https://alion.io/job/zafin-senior-machine-learning-engineer-aios","title":"Senior Machine Learning Engineer- AIOS","company":{"id":19452,"name":"Zafin","domain":"zafin.com","url":"https://alion.io/company/zafin","size_band":"201-500","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":85,"open_postings":5,"ghost_share":0,"stale_share":0.6,"repost_share":0,"time_to_fill_p50_days":25,"computed_at":"2026-09-24T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":96000,"max_usd":240000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1271},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Embeddings","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Hallucination","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Kubernetes","optional":true},{"name":"Semantic Search","optional":true},{"name":"Semantic Search","optional":true}],"status":"live","first_seen_at":"2026-09-23T21:33:37Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-24T08:21:33Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Zafin is an AI platform company helping regulated institutions modernize how critical work is designed, governed, and delivered. Our technology enables organizations to move faster while maintaining the governance, accountability, and control required in highly regulated environments.\nOur portfolio includes Zafin AIOS, an agent orchestration platform for governed AI work; the Zafin Banking Platform, which helps banks modernize product, pricing, offers, billing, loyalty, and relationship management; and Zafin IO, an integration platform that connects data, systems, and workflows across complex enterprise environments.\nHeadquartered in Toronto, Canada, Zafin partners with leading financial institutions across North America, Europe, the Middle East, Africa, and Asia-Pacific. As AI transforms the future of financial services, we're building the platforms that help regulated organizations adopt AI responsibly and at scale.\nWhat is the Opportunity? \nAs aMachine Learning Engineer, part of Zafin's AIOS Product team, you will build the machine learning and AI systems that power the AIOS Knowledge Fabric and help agents reason over enterprise knowledge with accuracy, traceability, and control. \nYou will work on practical production systems, including retrieval, ranking, embeddings, model integration, evaluation, data pipelines, model serving, observability, and the workflows that make AI outputs reliable for regulated banking environments. This is a hands-on engineering role focused on turning ML and LLM capabilities into dependable product infrastructure. \nThis role is critical for high-quality knowledge, strong evaluation, and reliable model behavior. You will help build the foundation that allows customers to use AI agents with confidence, accountability, and measurable business value. \nWhat Will You Do? \nDesign, build, test, and maintainML and AI capabilities for AIOS, with a focus on knowledge retrieval, model integration, and production reliability.\nDevelop systems for embeddings, vector search, ranking, retrieval-augmented generation, knowledge ingestion, and knowledge quality improvement.\nBuild and improve model evaluationworkflows, test sets, scoring approaches, quality metrics, and monitoring for AI and LLM-based systems.\nPartner with AI engineers, data engineers, product managers, architects, and domain experts to translate product needs into ML system designs and working software.\nWrite production-quality Python or equivalent code, including services, pipelines, automation, tests, and integration points with product systems.\nImprove ML system performance, latency, cost, reliability, and observability in production and pre-production environments.\nWork with structured and unstructured enterprise data, including documents, metadata, knowledge sources, customer data, and operational signals.\nSupport responsible AI practices by improving traceability, explainability, governance, auditability, privacy, and human review workflows.\nCreate technical documentation, model cardsor evaluation notes where useful, implementation guidance, and operational runbooks.\nStay current with ML, LLM, RAG, evaluation, and MLOpspractices and bring practical improvements into the AIOS product. \nWhat Do You Need to Succeed? \nMust haves \n5+ years of software engineering, machine learning engineering, data science engineering, or applied ML experience building production systems.\n2+ years of hands-on experience with productionML, LLM applications, retrieval-augmented generation, NLP, search, recommendation, or AI-powered automation.\nStrong programming skills in Python and experience building maintainable, tested, production-quality code.\nPractical experience with ML frameworks, LLM APIs or open-source models, embeddings, vector databases, retrieval systems, or model-serving patterns.\nStrong understanding of data pipelines, feature or knowledge preparation, model evaluation, experiment tracking, and performance measurement.\nSolid software engineering fundamentals, including APIs, databases, testing, debugging, version control, and system design.\nAbility to analyze model behavior, diagnose quality issues, and improve systems using both quantitative metrics and qualitative reviews.\nStrong communicationskills, with the ability to explain ML trade-offs, model behavior, and technical recommendations to product and engineering stakeholders.\nBachelor's degree in Computer Science, Engineering, Machine Learning, Statistics, Mathematics, or a related technical field, or equivalent practical experience. \nNice to have \nExperience building RAG systems, knowledge graphs, document understanding systems, semantic search, or enterprise knowledge platforms.\nExperience with MLOpspractices, model monitoring, model registries, CI/CD for ML, or deployment of ML services in cloud environments.\nExperience with Azure, Kubernetes, Docker, distributed data processing, or scalable data infrastructure.Experience with banking, financial services, compliance, risk, or other regulated industry data.\nExperience with AI evaluation, safety testing, hallucination mitigation, prompt testing, or governance controls for LLM systems.\nExperience collaborating with product teams to turn ambiguous AI capabilities into usable product features.\nExperience with security, privacy, data access controls, audit trails, and responsible AI requirements.\nPublished research, open-source contributions, patents, or technical writing related to ML, NLP, search, or AI systems. \nAdditional Job Details\nAt Zafin, we invest in our people. Our comprehensive rewards program is designed to support your health, financial well-being, and work-life balance, including:\nFully company-paid health benefits\nAnnual bonus opportunities\nGenerous vacation and holidays\nRRSP matching\nEmployer-paid insurance coverage\nWellness resources\nExtensive paramedical benefits, and more\n\nVacancy Status: Open Position to be filled\nExpected Salary range: Hiring for multiplelevels depending on candidate'sexperienceand competence\nMode of Work: Hybrid\nUse of AI: Zafin may use Artificial Intelligence (AI) and/or other forms of automated technology to screen and/or assess applicants for this position. Zafin will not utilize AI for conducting interviews and/or making hiring decisions. \nWhat’s in it for you\nJoining our team means being part of a culture that values diversity, teamwork, and high-quality work. We offer competitive salaries, annual bonus potential, generous paid time off, paid volunteering days, wellness benefits, and robust opportunities for professional growth and career advancement. Want to learn more about what you can look forward to during your career with us? Visit our careers site and our openings: zafin.com/careers\nZafin welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. \nZafin is committed to protecting the privacy and security of the personal information collected from all applicants throughout the recruitment process. The methods by which Zafin contains uses, stores, handles, retains, or discloses applicant information can be accessed by reviewing Zafin’s privacy policy at https://zafin.com/privacy-notice/. By submitting a job application, you confirm that you agree to the processing of your personal data by Zafin described in the candidate privacy notice.","description_format":"text","description_chars":7418,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Generous vacation","Insurance coverage","Paid volunteering days"],"hiring_locations":[{"name":"United States","iso":"US","kind":"region"},{"name":"Argentina","iso":"AR","kind":"region"},{"name":"Brazil","iso":"BR","kind":"region"},{"name":"Canada","iso":"CA","kind":"region"},{"name":"Colombia","iso":null,"kind":"region"},{"name":"Mexico","iso":"MX","kind":"region"},{"name":"Anguilla","iso":null,"kind":"region"},{"name":"Antigua and Barbuda","iso":"AG","kind":"region"},{"name":"Aruba","iso":"AW","kind":"region"},{"name":"Bahamas","iso":"BS","kind":"region"},{"name":"Barbados","iso":"BB","kind":"region"},{"name":"Belize","iso":"BZ","kind":"region"},{"name":"Bermuda","iso":"BM","kind":"region"},{"name":"Bolivia","iso":"BO","kind":"region"},{"name":"British Virgin Islands","iso":"VG","kind":"region"},{"name":"Bonaire, Sint Eustatius and Saba","iso":"BQ","kind":"region"},{"name":"Cayman Islands","iso":"KY","kind":"region"},{"name":"Chile","iso":"CL","kind":"region"},{"name":"Costa Rica","iso":"CR","kind":"region"},{"name":"Curaçao","iso":"CW","kind":"region"},{"name":"Dominica","iso":"DM","kind":"region"},{"name":"Dominican Republic","iso":"DO","kind":"region"},{"name":"Ecuador","iso":"EC","kind":"region"},{"name":"El Salvador","iso":"SV","kind":"region"},{"name":"Falkland Islands","iso":"FK","kind":"region"},{"name":"French Guiana","iso":"GF","kind":"region"},{"name":"Greenland","iso":"GL","kind":"region"},{"name":"Grenada","iso":"GD","kind":"region"},{"name":"Guadeloupe","iso":"GP","kind":"region"},{"name":"Guatemala","iso":"GT","kind":"region"},{"name":"Guyana","iso":"GY","kind":"region"},{"name":"Haiti","iso":"HT","kind":"region"},{"name":"Honduras","iso":"HN","kind":"region"},{"name":"Jamaica","iso":"JM","kind":"region"},{"name":"Martinique","iso":"MQ","kind":"region"},{"name":"Montserrat","iso":"MS","kind":"region"},{"name":"Nicaragua","iso":"NI","kind":"region"},{"name":"Panama","iso":"PA","kind":"region"},{"name":"Paraguay","iso":"PY","kind":"region"},{"name":"Peru","iso":"PE","kind":"region"},{"name":"Puerto Rico","iso":"PR","kind":"region"},{"name":"Saint Kitts and Nevis","iso":"KN","kind":"region"},{"name":"Saint Lucia","iso":"LC","kind":"region"},{"name":"Saint Vincent and the Grenadines","iso":null,"kind":"region"},{"name":"Saint-Pierre and Miquelon","iso":"PM","kind":"region"},{"name":"Sint Maarten","iso":"SX","kind":"region"},{"name":"Suriname","iso":"SR","kind":"region"},{"name":"Trinidad and Tobago","iso":"TT","kind":"region"},{"name":"Turks and Caicos Islands","iso":"TC","kind":"region"},{"name":"Uruguay","iso":"UY","kind":"region"},{"name":"United States Virgin Islands","iso":"VI","kind":"region"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Banking","FinTech"],"lifecycle":[{"event":"open","at":"2026-09-23T23:25:07Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":25,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-09-24T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/zafin-senior-machine-learning-engineer-aios","json_url":"https://alion.io/job/zafin-senior-machine-learning-engineer-aios.json","meta":{"generated_at":"2026-09-24T08:46:31Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}