{"id":2812565,"url":"https://alion.io/job/orysys-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":4446834,"name":"Orysys","domain":"orysys.com","url":"https://alion.io/company/orysys-2","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":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Colombo, Sri Lanka"],"countries":["LK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15000,"max_usd":38000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2216},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"gRPC","optional":false},{"name":"Java","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":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spring Boot","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-09-28T07:47:23Z","employer_posted_date":null,"last_verified_at":"2026-09-28T07:47:23Z","board_verified":false,"closed_at":null,"days_open":25,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":25},"description":"The Senior Machine Learning Engineer is a core technical leader in building, deploying and running scalable Al/ML solutions across the Bank. The role connects data science and software engineering. You will build reliable MLOps pipelines, move models into production and make sure they perform well, stay secure and meet the Bank's model risk and regulatory standards. You will also guide and grow other engineers in the team.\n\nJob Profile (Roles & Responsibilities)\n\n1. Model Development & Productionization\n\nCollaborate with Data Scientists and the Al & ML Architects to transition internal R&D prototypes into scalable, production-grade ML models.\n\nDesign and implement end-to-end ML pipelines for data preprocessing, feature engineering, model training, and inference.\n\nRefactor data science code into modular, testable, and optimized Python microservices tailored for enterprise deployment.\n\n2. MLOps & Infrastructure Management\n\nArchitect and manage the MLOps lifecycle on cloud platforms, with a primary focus on Google Cloud Platform (GCP) and Vertex Al.\n\nEstablish CI/CD pipelines for machine learning models, ensuring automated testing, deployment, and version control.\n\nImplement robust monitoring solutions to track model drift, data quality, and inference latency in a live production environment.\n\n3. Integration & Collaboration\n\nWork closely with AI/ML/Data Architects and Tech Leads to integrate ML models into the Bank's legacy systems and digital channels.\n\nOptimize model inference performance to meet strict latency requirements for real-time customer journeys.\n\nCollaborate with the IT operations team to ensure containerized ML services (Docker, Kubernetes) are secure, maintainable, and scalable.\n\n4. Governance & Compliance\n\nEnsure all ML deployments comply with the bank's strict security standards, data privacy regulations, and governance frameworks.\n\nDocument model architectures, infrastructure configurations, and MLOps processes to maintain audit readiness.\n\nApplicant Profile (Requirements & Qualifications)\n\n1. Experience & Background\n\nBachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Mathematics, or a related field recognized by the University Grants Commission.\n\n4+ Years of total experience in software engineering, data engineering, or machine learning.\n\n3+ Years of hands-on experience as a Machine Learning Engineer, specifically focusing on model deployment and MLOps.\n\nProven track record of deploying and managing ML models in a complex enterprise environment (Banking/Telco/Insurance is highly preferred).\n\n2. Technical Competencies\n\nCore Languages: Expert proficiency in Python and SQL. Familiarity with Java/Spring Boot (the standard for our banking backends) is a strong plus.\n\nML Frameworks and Algorithms: Deep knowledge of machine learning algorithms, libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost).\n\nCloud & MLOps: Experience with Google Cloud Platform (GCP), Vertex Al, BigQuery, and Dataflow. Proficiency in MLOps tools (e.g., MLflow, Kubeflow) and CI/CD pipelines.\n\nInfrastructure: Experience with containerization and orchestration (Docker, Kubernetes, Cloud Run) and API development (REST/gRPC, FastAPI/Flask).\n\n3. Mindset & Soft Skills\n\nEngineering Pragmatism: Focuses on building scalable, reliable, and secure solutions rather than just experimenting with the latest algorithms. Prefers robust configurations.\n\nProblem Solver: Ability to troubleshoot complex integration and performance issues across hybrid architectures (connecting Cloud services to On- Premise/Legacy systems).\n\nCollaborative Leader: Excellent communication skills with the ability to mentor junior engineers and effectively translate technical ML concepts to cross- functional stakeholders.\n\nOwnership: Takes end-to-end responsibility for models in production, from release to retirement.\n\nORYSYS Limited is an equal opportunity employer, and all recruitment decisions are based solely on suitability, regardless of race, gender, marital status, disability, age, religious belief, or sexual orientation. By submitting your application, you consent to collection and processing of Pll for recruitment purposes, for further information refer our Website Privacy Policy","description_format":"text","description_chars":4263,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-18T09:02:11Z"}],"visa":[],"liveness":{"score":49,"band":"ok","label":"Likely open","p_open":0.85,"p_active":0.763,"p_room":0.75,"age_days":24,"expected_fill_days":27,"reasons":["seen:24","velocity","win:late"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/orysys-senior-machine-learning-engineer","json_url":"https://alion.io/job/orysys-senior-machine-learning-engineer.json","meta":{"generated_at":"2026-10-24T04:21:00Z","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":6828,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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":4446834},"rest":"https://alion.io/mcp/rest/get_company?id=4446834"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Forysys-senior-machine-learning-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%2Forysys-senior-machine-learning-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%2Forysys-senior-machine-learning-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/orysys-senior-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Forysys-senior-machine-learning-engineer"}]}