{"id":3793686,"url":"https://alion.io/job/gotymex-aiml-engineer","title":"AI/ML Engineer","company":{"id":3827705,"name":"GoTymeX","domain":"gotymex.com","url":"https://alion.io/company/gotymex","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":95,"open_postings":4,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":121,"computed_at":"2026-11-05T05:54:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ho Chi Minh City, Vietnam"],"countries":["VN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"XGBoost","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CloudFormation","optional":true},{"name":"GCP","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Spark","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-05T08:06:11Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-05T23:30:50Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nWe're looking for an AI/ML Engineer to join our Insights & Personalization pod within TymeX, a team building the intelligence layer that makes digital banking adaptive, transparent, and deeply personalized. This role is perfect for someone who understands that production ML in financial services isn't just about model accuracy; it's about building trustworthy, explainable systems that customers can rely on with their money.\nYou'll design and deploy machine learning systems across the full stack, from transaction intelligence and behavioral pattern recognition to predictive forecasting, conversational AI, and agentic solutions. You'll be building production systems that customers interact with directly, making the impact of your work tangible and immediate. As part of the Tyme Group operating across multiple markets, you'll build systems that create compounding value as they learn from more data and usage, with the opportunity to see your work scale globally across our digital banking platforms.\nWhat You'll Do\nAs an AI/ML Engineer, you'll work across the full ML lifecycle, from model design and experimentation to large-scale deployment and performance optimization, within a distributed, microservices-based, and cloud-native environment.\nYou will:\nDesign, build, and optimize AI/ML pipelines for real-time and batch inference, leveraging modern MLOps practices.\nCollaborate with data engineers and software developers to integrate models into TymeX's banking platform, ensuring reliability, monitoring, and version control.\nResearch, prototype, and productionize models in areas such as credit scoring, fraud detection, transaction classification, personalization, and conversational AI.\nImplement robust model evaluation, A/B testing, and drift detection frameworks to ensure accuracy and stability over time.\nContribute to internal frameworks and libraries to standardize ML development workflows across teams.\nExplore and evaluate emerging techniques in LLMs, Generative AI, and reinforcement learning applicable to TymeX's ecosystem.\nMentor junior engineers and collaborate closely with product and infrastructure teams to ensure model readiness for global scale.\nRequirements\nWhat You'll Bring\nExperience:\n5+ years of hands-on experience in machine learning engineering, data science, or related software development roles.\n Proven experience deploying and maintaining ML models in production environments (preferably in fintech, e-commerce, or large-scale consumer products).\nTechnical Skills:\n Strong proficiency in Python and core ML libraries (TensorFlow, PyTorch, Scikit-learn, XGBoost, etc.).\nSolid understanding of algorithms, data structures, and distributed computing concepts.\n Experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes, CI/CD pipelines).\n Familiarity with data engineering stacks such as Spark, Kafka, and cloud data warehouses (e.g., BigQuery, Redshift).\nStrong understanding of model monitoring, versioning, and observability in live systems.\nExperience with cloud environments (AWS, GCP, or Azure) and IaC (Terraform, CloudFormation) is a plus.\nFamiliarity with secure data handling and compliance within regulated environments (e.g., banking or financial data) is advantageous.\nMindset:\nA system-thinking approach to ML development, viewing models as part of a continuous delivery ecosystem.\nCuriosity for applied AI research balanced with pragmatism for production constraints.\nStrong communication skills and ability to collaborate in cross-functional and multi-country teams\nBenefits\nWhy You'll Love Working Here\nOpportunity to build large-scale AI systems that power global digital banking across multiple markets.\nWork in a cloud-native, event-driven, and API-first architecture with cutting-edge technologies.\nJoin a team where AI is not an experiment; it's a core part of the platform strategy.\nHybrid working model, strong engineering culture, and continuous learning environment (LLMs, MLOps, data observability, and more).\nBe part of a global technology organization with shared ownership and impact.","description_format":"text","description_chars":4102,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Hybrid work"],"hiring_locations":[{"name":"Vietnam","iso":"VN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Software & Embedded Finance","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-11-05T08:06:11Z"}],"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":121,"reasons":["conf:1","win:early"],"computed_at":"2026-11-06T00:51:57Z"},"pay":null,"html_url":"https://alion.io/job/gotymex-aiml-engineer","json_url":"https://alion.io/job/gotymex-aiml-engineer.json","meta":{"generated_at":"2026-11-06T00:51:57Z","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":1483,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":3827705},"rest":"https://alion.io/mcp/rest/get_company?id=3827705"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgotymex-aiml-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fgotymex-aiml-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fgotymex-aiml-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/gotymex-aiml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgotymex-aiml-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3793686}},{"tool":"search_jobs","arguments":{"company":"gotymex.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3793686},"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); 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