{"id":4043020,"url":"https://alion.io/job/sp-global-senior-ml-engineer","title":"Senior ML Engineer","company":{"id":8679,"name":"S&P Global","domain":"spglobal.com","url":"https://alion.io/company/spglobal","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":56,"ghost_share":0,"stale_share":0.607,"repost_share":0.054,"time_to_fill_p50_days":24,"computed_at":"2026-11-10T06:52:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Mexico City, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"Airflow","optional":true},{"name":"LLM","optional":true},{"name":"MLFlow","optional":true},{"name":"PyTorch","optional":true},{"name":"RAG","optional":true},{"name":"TensorFlow","optional":true},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-11-10T22:50:38Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T22:50:38Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Role:\nGrade Level (for internal use):\n10S&P Global Commodity Insights\nThe role: Senior Machine Learning Engineer\nLocation: Mexico City, Paseo de la reforma 180, 2 days per week onsite.\nAbout the Role\nS&P Global Commodity Insights is looking for an experienced Machine Learning Engineer to join our Data Science & Modelling team.\nIn this role, you will design, build and productionize machine learning and AI solutions using S&P Global's extensive data and domain expertise. You will work at the intersection of machine learning, software engineering, data engineering and domain modelling, partnering with data scientists, modelers, engineers, product teams and subject-matter experts.\nYour work will support a range of business outcomes, including commercial products, advanced forecasting and modelling capabilities, intelligent automation, internal decision support and client-facing solutions.\nResponsibilities:\nDesign, develop and productionize scalable machine learning and AI solutions for complex business and modelling problems.\nBuild robust data and ML pipelines that support the complete lifecycle from data preparation and feature engineering through training, deployment, evaluation and monitoring.\nDevelop high-quality, reusable Python software and services that integrate ML capabilities into production applications and analytical platforms.\nWork with large and complex structured and unstructured datasets to improve the quality, accuracy and intelligence of our products and modelling capabilities.\nApply modern ML techniques, and where appropriate Generative AI, LLMs and agent-based approaches, to solve business and domain problems.\nEstablish and apply strong MLOps and software engineering practices, including automated testing, CI/CD, versioning, observability and reproducibility.\nBuild solutions using modern cloud and distributed-computing platforms.\nEvaluate model quality and system performance using appropriate quantitative metrics, validation frameworks and monitoring.\nCollaborate closely with data scientists, modelers, data engineers, product teams and energy-domain experts to translate business and modelling requirements into robust technical solutions.\nInvestigate emerging ML and AI technologies and identify practical opportunities to apply them within Data Science & Modelling.\nContribute to engineering standards, architecture decisions, code reviews and technical mentoring across the team.\nRequirements:\n7+ years of professional software development or engineering experience, with strong proficiency in Python.\nDemonstrated experience designing and implementing production-grade machine learning or advanced analytical systems.\nStrong knowledge of software engineering fundamentals, including object-oriented design, modular architecture, testing, clean-code practices and design patterns.\nStrong experience working with SQL and large-scale data platforms.\nExperience building scalable data processing and ML pipelines using technologies such as Apache Spark / PySpark and Databricks or comparable platforms.\nExperience deploying and operating solutions in a cloud environment such as AWS.\nUnderstanding of the ML lifecycle, including training, validation, deployment, monitoring and model/version management.\nExperience with modern engineering and DevOps practices including Git, automated testing, CI/CD and containerization.\nAbility to design reliable, performant and maintainable systems handling large or complex datasets.\nStrong analytical and problem-solving skills.\nAbility to communicate effectively with both technical and non-technical stakeholders and work successfully in cross-functional Agile teams.\nBachelor's or advanced degree in Computer Science, Engineering, Mathematics, Data Science or a related quantitative discipline, or equivalent practical experience.\nNice to Have\nExperience working with energy, oil & gas, commodities or financial/market data.\nExperience with Databricks and modern lakehouse architectures.\nExperience building or integrating Generative AI, LLM, RAG or agentic AI solutions.\nExperience with ML lifecycle and orchestration technologies such as MLflow, Airflow or equivalent platforms.\nExperience with model evaluation, observability and production monitoring.\nExperience developing APIs or services for integrating ML capabilities into production applications.\nFamiliarity with deep-learning frameworks such as PyTorch or TensorFlow.\nExperience working with time-series forecasting, optimization, simulation or other advanced modelling techniques.\nNOTE: As part of the process a final in person evaluation is a mandatory requirement.\nAbout S&P Global Energy\nAt S&P Global Energy, our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long-term, sustainable value. Our four core capabilities are: Platts for news and pricing; CERA for research and advisory; Horizons for energy expansion and sustainability solutions; and Events for industry collaboration.\nS&P Global Energy is a division of S&P Global (NYSE: SPGI). S&P Global enables businesses, governments, and individuals with trusted data, expertise, and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need in order to plan confidently, act decisively, and thrive economically in a rapidly changing global landscape. Learn more atwww.spglobal.com/energy.\nWhat’s In It For You?\nOur Mission: \nAdvancing Essential Intelligence.\nOur People:\nWe're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.\nOur Values:\nIntegrity, Discovery, Partnership\nThroughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.\nBenefits:\nWe take care of you, so you can take care of business. We care about our people. That’s why we provide everything you-and your career-need to thrive at S&P Global.\nOur benefits include:\nHealth & Wellness: Health care coverage designed for the mind and body.\n\nFlexible Downtime: Generous time off helps keep you energized for your time on.\n\nContinuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.\n\nInvest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.\n\nFamily Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.\n\nBeyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.\n\nFor more information on benefits by country visit: https://spgbenefits.com/benefit-summaries\nGlobal Hiring and Opportunity at S&P Global:\nAt S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.\nRecruitment Fraud Alert:\nIf you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.\n-----------------------------------------------------------\nEqual Opportunity Employer\nS&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.\nIf you need an accommodation during the application process due to a disability, please send an email to:  and your request will be forwarded to the appropriate person. \nUS Candidates Only: Know Your Rights: Workplace discrimination is illegal\n-----------------------------------------------------------\nIFTECH202.1 - Middle Professional Tier I (EEO Job Group)","description_format":"text","description_chars":9586,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Retirement plans","Wellness"],"hiring_locations":[{"name":"Mexico","iso":"MX","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Credit Bureaus & Rating Agencies","Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-11-10T22:50:38Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":24,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-11-11T00:05:13Z"},"pay":null,"html_url":"https://alion.io/job/sp-global-senior-ml-engineer","json_url":"https://alion.io/job/sp-global-senior-ml-engineer.json","meta":{"generated_at":"2026-11-11T00:05:13Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":239,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":8679},"rest":"https://alion.io/mcp/rest/get_company?id=8679"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsp-global-senior-ml-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsp-global-senior-ml-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsp-global-senior-ml-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/sp-global-senior-ml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsp-global-senior-ml-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4043020}},{"tool":"search_jobs","arguments":{"company":"spglobal.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4043020},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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