{"id":1381681,"url":"https://alion.io/job/optimum-solutions-ml-ai-engineer","title":"ML & AI Engineer","company":{"id":3800114,"name":"Optimum Solutions","domain":"theoptimum.net","url":"https://alion.io/company/optimum-infosystem","size_band":"1001-5000","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"contractor","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":{"min":7000,"max":10000,"currency":"SGD","period":"month","gross":true,"usd_annual":93984},"salary_estimate":null,"experience_years_min":6,"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":"Embeddings","optional":false},{"name":"Git","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","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":"Spark","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-28T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-09-28T00:00:00Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"ResponsibilitiesDevelop, test and deploy ML, NLP, Generative BI, GenAI and AI-assisted automation solutions for enterprise environments.\n\nPrepare data, perform feature engineering, train models and develop prompts, RAG pipelines and Agentic AI workflows.\n\nImplement evaluation frameworks covering accuracy, groundedness, latency, robustness, safety and business acceptance criteria.\n\nIntegrate ML models and LLM/AI services with enterprise data platforms, semantic layers, APIs, BI and visualization tools.\n\nBuild reproducible MLOps pipelines for model packaging, deployment, monitoring, retraining and production lifecycle management.\n\nImplement logging, explainability, human-in-the-loop review, security, privacy, governance and audit controls.\n\nSupport SIT/UAT, unit testing, defect resolution, production deployment, technical documentation, evaluation evidence and operational runbooks.\n\nRequirementsBachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science or a related technical discipline.\n\n6–9 years of experience in AI/ML, analytics or software engineering, with substantial hands-on experience delivering enterprise AI solutions.\n\nStrong programming and ML expertise in Python, Spark, TensorFlow/PyTorch, scikit-learn, MLflow and modern LLM/Agent frameworks.\n\nHands-on experience with RAG, embeddings, vector search, prompt engineering, LLMs, Agentic AI, feature engineering and model/LLM evaluation.\n\nExperience with APIs, containers, Kubernetes, cloud AI/ML services, Git, CI/CD, monitoring and production deployment practices.\n\nKnowledge of responsible AI, model governance, data privacy, explainability and human-in-the-loop processes, preferably within banking, risk, AML, payments or customer analytics.\n\nStrong ownership, analytical thinking, collaboration skills, with the ability to work independently, participate in peer reviews and deliver high-quality, traceable and production-ready solutions; relevant cloud AI/ML or Databricks certification is preferred.\n\nSkills\nPeer Review, AI Agents, Evaluation Studies, Kubernetes, Acceptance Criteria, Model Deployment, Artificial Intelligence, Computer Science, Data Management Services, LLMs, Banking, AML, Industrial Automation, Programming, Governance Controls, Able To Work Independently","description_format":"text","description_chars":2307,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-28T08:00:48Z"}],"visa":[],"liveness":{"score":53,"band":"ok","label":"Likely open","p_open":1,"p_active":0.531,"p_room":1,"age_days":5,"expected_fill_days":30,"reasons":["seen:5","agency","velocity","win:early"],"computed_at":"2026-10-03T05:45:00Z"},"pay":{"stated_usd_annual":93984,"is_top_pay":false},"html_url":"https://alion.io/job/optimum-solutions-ml-ai-engineer","json_url":"https://alion.io/job/optimum-solutions-ml-ai-engineer.json","meta":{"generated_at":"2026-10-04T02:21:40Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3349,"day_limit":5000,"remaining_today":1651,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}