{"id":3600797,"url":"https://alion.io/job/sedha-consulting-senior-mlai-engineer","title":"Senior ML/AI Engineer","company":{"id":3802291,"name":"Sedha Consulting","domain":"sedhaconsulting.com","url":"https://alion.io/company/sedha-consulting","size_band":null,"is_staffing_agency":false,"employer_type":"direct","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":9000,"max":15000,"currency":"SGD","period":"month","gross":true,"usd_annual":140904},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Function Calling","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Incident Management","optional":false},{"name":"Jenkins","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"MLFlow","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"LangChain","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-02T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-11-02T00:00:00Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"ML/AI Engineer (Senior Consultant)\n\nKey Responsibilities\n· Agentic AI Architecture: Design the end-to-end architecture for agentic AI solutions, including agent orchestration, workflow design, state management, tool integration, human approval points and system interactions, using suitable frameworks such as LangGraph or CrewAI. \n· Emerging-Risk Agent Development: Develop AI agents that analyse approved information sourcesto identify, generate and prioritise evidence-linked emerging fraud and abuse risks for officer review.\n· Detection Engineering Agent Development: Develop AI agents that assess datafeasibility, propose candidate risk indicators and detection features, and support the translation of validated risks into actionable analytics and detection logic.\n· Data & Analytics Integration: Integrate agent workflows with data and analytics components, including Redshift, Glue and PySpark. Build and maintain data preparation and feature-engineering processes required to support AI and ML workloads.\n· Production Engineering: Convert prototypes into modular, tested, maintainable and deployable services, workflows, APIs or agentic applications, with clear interfaces, version control and operational ownership.\n· CI/CD & Automation: Build automated workflows for testing, validation and promotion of code, prompts, workflows and AI components across environments, incorporating quality, security and human approvalgates where required.\n· Evaluation & AI Guardrails: Implement evaluation frameworks and governance controls covering output quality, reproducibility, traceability, accesscontrol, exception handling, human approval gates and safeguards against untrusted inputs such as prompt injection.\n· Monitoring& Reliability: Implement observability, dashboards and alerts covering system health, latency, throughput, errors, resource utilisation, data quality, workflow performance and operating costs. Support incident management, troubleshooting and root-cause analysis.\n· Domain Collaboration: Work closely with data scientists, business users and analysts to capture domain expertise, refine agent workflows and ensure solutions address operational fraud detection needs.\n· Documentation & Knowledge Transfer: Produce maintainable code, architecture decision records, evaluation evidence, operational runbooks and technical documentation, and conduct knowledge transfer to support long-term sustainability of the solution.\nRequirements & Qualifications\nA. Educational Qualification & Experience\nEducation: Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems or a related technical discipline.\nExperience: 3–5 years of hands-on experience building and deploying ML/AI applications. This must include at least one LLM-enabled system delivered beyond prototype into operational use.\nB. Technical & Professional Competencies\n· Strong Python software engineering capability, including API development, testing, version control and modular system design.\n· Hands-on experience building and deploying ML/AI applications, including at least one LLM-enabled or agentic AI solution beyondproof-of-concept stage.\n· Experience with LLM applications, retrieval, tool use, workflow orchestration or multi-agent frameworks such as LangGraph, CrewAI or equivalent.\n· Experience integrating AI/ML solutions with enterprise data platforms, databases, APIs or cloud services.\n· Ability to design and implement systematic evaluation frameworks for AI systems, including testing, benchmarking, observability and reproducibility.\n· Working knowledge of AI governance, security and responsible AI practices, including human-in-the-loop controls, access management, auditability and safeguards against misuse.\n· Strong problem-solving and analytical skills, with the ability to translate business requirements into scalable AI-enabled solutions.\nPreferred (Advantageous)\n· Experience with AWS services such as Bedrock, Redshift, Glue, S3, Lambda or related cloud-native services.\n· Experience with PySpark, Databricks or large-scale data processing and feature engineering pipelines.\n· Experience with CI/CD,containerisation, MLOps or model deployment tooling (e.g. Docker, MLflow, GitHub Actions, Jenkins).\n· Experience implementing monitoring, observability and operational support processes for ML/AI applications.\n· Experience delivering fraud detection, risk, compliance, investigation or decision-support solutions.\n· Experience with knowledge retrieval, RAG, graph-based workflows, prompt management, model evaluation tooling or AI observability platforms.\n· Familiarity with Singapore Government or public-sector technology environments, including data governance, security and compliance requirements.\n· Experience working with cross-functional teams comprising datascientists, engineers, analysts and business stakeholders.\nC. Soft Skills & Communication Attributes\n· Strong engineering judgement and structured experimentation, with the ability to distinguish a robust MVP from a demonstration.\n· Ability to explain architecture, evaluation evidence, risks and controls to technical, governance and management audiences.\n· Ability to integrate quickly into an existing team and work effectively with limited supervision.\n· Comfort working across research, engineering, integration, documentation and stakeholder engagement.\nSkills\nPySpark, AI Agents, AI Governance, Agent Orchestration, AWS, LangGraph, Information Systems, Artificial Intelligence, LLMOps, Databricks, MLOps, Workflow Design, LLMs, Python, Developing Frameworks, User Acceptance Testing, Data Science, CrewAI, Agentic AI","description_format":"text","description_chars":5653,"description_truncated":false,"requirements":{"experience_years_min":3,"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":["Recruiting & Staffing","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-11-02T08:30:00Z"}],"visa":[],"liveness":{"score":85,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.896,"p_room":0.945,"age_days":7,"expected_fill_days":14,"reasons":["seen:7","velocity","win:mid"],"computed_at":"2026-11-09T06:03:00Z"},"pay":{"stated_usd_annual":140904,"is_top_pay":false},"html_url":"https://alion.io/job/sedha-consulting-senior-mlai-engineer","json_url":"https://alion.io/job/sedha-consulting-senior-mlai-engineer.json","meta":{"generated_at":"2026-11-09T18:17:58Z","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":2799,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"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":3802291},"rest":"https://alion.io/mcp/rest/get_company?id=3802291"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsedha-consulting-senior-mlai-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%2Fsedha-consulting-senior-mlai-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%2Fsedha-consulting-senior-mlai-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/sedha-consulting-senior-mlai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsedha-consulting-senior-mlai-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3600797}},{"tool":"search_jobs","arguments":{"company":"sedhaconsulting.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3600797},"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. Docs: https://alion.io/developers"}}