{"id":4097206,"url":"https://alion.io/job/st-engineering-senior-ai-ml-engineer","title":"Senior AI / ML Engineer","company":{"id":1818473,"name":"ST Engineering","domain":"stengg.com","url":"https://alion.io/company/stengg","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":10,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":18,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-11-11T21:15:32Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-12T03:46:02Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About ST Engineering\nST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.\nOur history spans more than 50 years, and our strategy is underpinned by our core values - Integrity, Value Creation, Courage, Commitment and Compassion. These 5core values guide every aspect of our business and are embedded in our ST Engineering culture - from the people we hire, to working with each other, to our partners and customers.\nAbout our Line of Business - Advanced Networks & Sensors\nOur Advanced Networks & Sensors business specializes in platform digitalization, advanced connectivity, and cutting-edge manufacturing. This diversity of capabilities presents a range of roles through which you can contribute to the development of innovative, secure, and patented products. Join our team and play a crucial role in developing tomorrow’s technology and connectivity solutions and services to sectors spanning defence, public security, government, and the commercial realm. Your work will have a global impact as we empower customers through advanced communications, intelligent sensors, and the deployment of AI-enabled Edge applications for mission-critical roles.\nTogether, We Can Make A Significant Impact\nWe are seeking a Senior AI/ML Engineer to design, build, evaluate, deploy, and improve production-grade artificial intelligence and machine learning solutions. The role combines strong machine-learning expertise with sound software engineering, data, API, and MLOps practices. You will work with product, software, data, platform, cybersecurity, quality, and business teams to translate complex needs into secure, reliable, measurable, and maintainable AI capabilities.\nBe Part of Our Success\nAI/ML Solution Development\nTranslate business needs into AI/ML solutions with clear objectives, success metrics, and delivery plans.\nDesign, develop, fine-tune, and optimize ML, deep learning, and Generative AI solutions.\nBuild LLM applications using RAG, tool/function calling, structured outputs, and agentic workflows.\nDevelop reusable AI components, standards, and frameworks to accelerate delivery.\nSelect practical, scalable solutions balancing performance, security, cost, and maintainability.\nData, Evaluation & Responsible AI\nDefine data requirements and support data preparation, quality assurance, and governance.\nEstablish evaluation frameworks covering accuracy, robustness, safety, reliability, and cost.\nConduct testing, error analysis, and performance reviews to improve model outcomes.\nEnsure compliance with Responsible AI, privacy, cybersecurity, and governance requirements.\nMaintain documentation and audit evidence to support reviews and risk management.\nProduction Engineering & MLOps\nDeploy and manage AI solutions across cloud, on-premises, and edge environments.\nBuild automated MLOps pipelines for training, deployment, monitoring, and retraining.\nMonitor model performance, drift, reliability, utilization, and costs.\nIntegrate AI capabilities with enterprise systems and business workflows.\nProduce technical documentation, runbooks, and knowledge transfer materials.\nTechnical Leadership & Collaboration\nLead solution design reviews and promote engineering best practices.\nMentor team members and contribute to AI/ML standards and capability development.\nCommunicate technical concepts, risks, and trade-offs to diverse stakeholders.\nCollaborate across business, product, data, and engineering teams to deliver outcomes.\nStay current on AI, GenAI, MLOps, and AI governance trends and practices.\nQualities We Value \nDegree or Master's in Computer Science, AI, Machine Learning, Data Science, Engineering, or a related field (or equivalent experience)\nMinimum 5 years' experience delivering AI/ML, data science, or intelligent software solutions in production environments\nProven experience managing end-to-end AI/ML solution lifecycles, from design through deployment and optimization\nStrong Python and SQL skills with solid software engineering practices\nHands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn\nExperience building Generative AI/LLM solutions, including embeddings, vector search, RAG, prompt engineering, and evaluation\nKnowledge of APIs, MLOps, CI/CD, containers, monitoring, and cloud/on-premises deployments\nStrong analytical, problem-solving, communication, and stakeholder management skills\nAbility to work independently and collaboratively in cross-functional teams\nWorking location is in Jurong East\nSingaporeans Only\nOur Commitment That Goes Beyond the Norm\nAn environment where you will be working on cutting-edge technologies and architectures.\nSafe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated. \nMeaningful work and projects that make a difference in people’s lives.\nA fun, passionate and collaborative workplace.\nCompetitive remuneration and comprehensive benefits.","description_format":"text","description_chars":5337,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Smart City","Defense Manufacturing","Maintenance, Repair & Operations 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