{"id":1449841,"url":"https://alion.io/job/simplify-hr-proprietary-limited-data-ml-engineer","title":"Data & ML Engineer","company":{"id":1891733,"name":"Simplify HR","domain":"simplify.hr","url":"https://alion.io/company/simplify-hr","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":{"grade":"B","score":75,"open_postings":380,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-03T05:45:00Z"}},"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":["South Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":616000,"max":616000,"currency":"ZAR","period":"year","gross":null,"usd_annual":37482},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Power Apps","optional":false},{"name":"Power Automate","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SharePoint","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-29T07:40:03Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-09-29T13:23:43Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"A leading independent power producer (IPP) focused on developing, owning, and operating clean and reliable electricity generation across Africa is seeking a Data & ML Engineer who will drive the technical implementation of the company's Data Transformation initiative.\nResponsibilities:\nIngestion & Orchestration: Design and maintain modular pipelines (API, SQL, ETL/ELT) integrating sources like CAMs, ERP, OT/IoT, and SharePoint into the SSOT.\n\nData Modeling: Develop robust schemas and feature pipelines supporting analytics, reporting, and ML.\n\nOperational Health: Manage domain monitoring, alerting, incident resolution, advanced SQL performance tuning, and schema design.\n\nModel Development: Build, evaluate, and fine-tune ML models (forecasting, anomaly detection, neural networks) using standard libraries, actively managing overfitting and drift.\n\nPipeline Integration: Embed feature engineering and model scoring into automated data workflows.\n\nMLOps Delivery: Implement end-to-end MLOps for domain use cases, including versioning, CI/CD, deployment, monitoring, and automated retraining.\n\nConfiguration: Own AVEVA PI and CAMs for the domain; design PI Asset Framework (AF) element templates, hierarchies, and internal calculations.\n\nLifecycle Management: Oversee asset onboarding/offboarding, ensuring accurate data registration, configuration, and alignment with reporting frameworks.\n\nIntegrations & Alerts: Configure notifications, event frames, and PI interfaces to maintain high data integrity across SSOT integrations.\n\nEnd-to-End Delivery: Function as single-point-of-contact for domain data products, making scalable architecture decisions and filling technical gaps independently.\n\nStandards & Compliance: Enforce data governance, security, IT standards, and structured change management (approvals, rollback plans).\n\nCollaboration & Mentorship: Translate complex technical concepts for non-technical stakeholders, coordinate cross-divisional timelines, review associate work, and mentor team members on emerging practices.\n\nMinimum Requirements:\nEducation: Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field.\n\nExperience: 5-7 years in data engineering or data platform development (5+ years acceptable with strong evidence of independent delivery ownership).\n\nTechnical Experience: Practical hands-on ownership of API integration, ETL/ELT orchestration, data modeling, and production operations.\n\nTooling: Strong SQL and Python skills, ETL/automation frameworks, and experience integrating ML models into production workflows.\n\nProgramming & Querying: Strong Python and advanced SQL (schema design, indexing, performance tuning). C# is an advantage.\n\nData Architecture: Proven track record designing scalable ingestion frameworks, integrations, and enterprise data models.\n\nML & MLOps: Solid theoretical ML foundations combined with practical production deployment and MLOps practices.\n\nIndustrial Platforms: Hands-on experience configuring AVEVA PI (Asset Framework, interfaces, event frames) and CAM platforms.\n\nSoft Skills: High autonomy, technical discipline, cross-functional communication, and stakeholder management.\n\nAdvantageous\nAVEVA PI: Hands-on integration via PI Integrator or PI Web API / SDKs.\n\nAdvanced ML: Production deep learning exposure (e.g., TensorFlow, PyTorch) and MLOps tooling.\n\nBig Data & Orchestration: Experience with Data Lakes, Azure Data Factory, Airflow, or Prefect.\n\nDomain & Low-Code: Energy/industrial IoT experience, plus familiarity with Power Apps and Power Automate.\n\nBenefits:\nCompetitive salary based on experience (salary can potentially be more based on experience/skills)\nIF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to ","description_format":"text","description_chars":3831,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Professional Services","Human Resources","Recruiting Software & ATS"],"lifecycle":[{"event":"open","at":"2026-09-29T07:40:03Z"}],"visa":[],"liveness":{"score":57,"band":"ok","label":"Likely open","p_open":0.9,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":49,"reasons":["conf:88","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-03T05:45:00Z"},"pay":{"stated_usd_annual":37482,"is_top_pay":false},"html_url":"https://alion.io/job/simplify-hr-proprietary-limited-data-ml-engineer","json_url":"https://alion.io/job/simplify-hr-proprietary-limited-data-ml-engineer.json","meta":{"generated_at":"2026-10-04T00:56:47Z","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":1221,"day_limit":5000,"remaining_today":3779,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}