{"id":164761,"url":"https://alion.io/job/relx-machine-learning-engineer-apac","title":"Machine Learning Engineer - APAC","company":{"id":3770,"name":"RELX","domain":"relx.com","url":"https://alion.io/company/relx","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":150,"ghost_share":0,"stale_share":0.78,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-16T05:45:00Z"}},"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":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Interpretability","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Sentiment Analysis","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Platform Engineering","optional":true}],"status":"live","first_seen_at":"2026-08-29T16:21:27Z","employer_posted_date":"2026-08-29","last_verified_at":"2026-10-16T05:09:29Z","board_verified":true,"closed_at":null,"days_open":48,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":48},"description":"Machine Learning Engineer\nAbout our Company\nLexisNexis Legal & Professional, a division of RELX, is a global leader in providing information-based analytics and decision tools for professional and business customers. With a presence in over 150 countries and a workforce of 11,300 employees worldwide, we are committed to delivering exceptional service and innovative solutions.\nAbout the Team\nOur team, based in the APAC region, plays a crucial role in supporting all regional functions through comprehensive reporting and data-driven insights. We are currently undergoing an exciting transition, where we are enhancing our data capabilities and embracing Agentic Development, Machine Learning, and Predictive Analytics to better support our business objectives and drive growth.\nOur team is composed of high-performing professionals who collaborate across business units to deliver insights that shape strategic decisions. You’ll work closely with stakeholders across departments and geographies, including mentoring junior analysts and supporting organisational development initiatives.\nAbout the role\nThis role directly supports our strategic shift toward machine learning, predictive analytics, and Agentic development in the region, enabling faster and more reliable delivery of insights and outcomes for APAC stakeholders on our modern data platforms.\nResponsibilities\nData Processing at Scale. Clean, transform, and join raw datasets, handling missing data, outliers, normalization, and leakage prevention using SQL and Python.\nDesign and develop ML models tailored to business needs, leveraging statistical methods to ensure accuracy and reliability. Apply classical and modern techniques including regression, classification, time series analysis, and hypothesis testing to build trustworthy models.\nImplement ML algorithms with an emphasis on performance and interpretability. Select appropriate algorithms and use statistical techniques to optimize hyperparameters, reduce variance and bias, and manage class imbalance.\nConduct disciplined experiments to test and validate models. Design experimental frameworks, use train validation test splits and cross validation, and interpret results with appropriate statistical significance and confidence intervals.\nFeature engineering rooted in business and statistical understanding. Create informative features through aggregation, encoding, interaction terms, and time windows; assess feature importance and stability over time.\nModel evaluation using statistically sound metrics. Evaluate with precision, recall, F1 score, ROC AUC, calibration, confusion matrices, and cost sensitive metrics appropriate to the problem.\nCollaborate with data scientists to embed statistical insights into model design and validation, ensuring robust predictive analytics and practical deployment pathways.\nOptimize and productionize models for reliability and speed. Tune hyperparameters, apply regularization and ensembling, implement monitoring for drift and performance, and manage A/B rollouts on Databricks and related tooling.\nReporting and documentation that clearly communicates methodology, assumptions, statistical analyses, and business implications to technical and non-technical stakeholders.\nAgentic creation for intelligent solutions that designs and implements autonomous, adaptive workflows using Agentic development principles to enable self-directed decision-making and dynamic integration across business processes.\nWorkflow Automation and Optimization which develops and refines automated pipelines for data processing, model deployment, and monitoring, leveraging tools such as Databricks and Microsoft Fabric to ensure scalability, efficiency, and minimal manual intervention.\nRequirements\nMaster’s degree preferred, with a minimum of a Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.\nFive or more years of experience in data and machine learning or closely related roles, demonstrating independent execution of best practices and end to end delivery from development and testing through production.\n Demonstrates expertise in our technology stack (Databricks, Microsoft Fabric, and Power BI) to support platform engineering activities, including operating, maintaining, and providing break/fix coverage for core data platforms.\nExcellent communication skills with the ability to translate technical and statistical concepts into clear, actionable insights for both technical and non-technical stakeholders.\nAbility to work effectively with cross-functional teams across regions, fostering collaboration and knowledge sharing.\nSupport and encourage a high-performing team culture where treating everyone with respect is a core expectation, fostering inclusivity, trust, and accountability in all interactions.\nMust be able to hold technical conversations across SQL, Python, Data Modelling & Evaluations, Statistical Foundations, and ML Algorithms during technical interview.\n Experience in the following areas will be highly advantageous:NLP (text preprocessing, topic modeling, classification, sentiment analysis)\nAgentic models & Generative AI\nDatabricks\nMicrosoft Fabric (model administration & maintenance)\nWorkflow automation\nETL pipelines\nPowerApps\nMLflow\nData pipeline orchestration\nVersion control\nCI/CD\nModel monitoring\nPower BI\n\nWork in a way that works for you \nWe promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.\nWorking for you \nWe know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: \nFlexible working arrangements \nBenefits for you and your family \nAccess to learning and development resources \nYour recruiter will advise you on the full benefits package for your location \nAbout the Business \nLexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.\n\nWe know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Clickhereto access benefits specific to your location.\nWe are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.\nCriminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scamshere.\nPlease read our Candidate Privacy Policy.\nWe are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.\nUSA Job Seekers:\nEEO Know Your Rights.","description_format":"text","description_chars":7468,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Flexible 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