{"id":1451254,"url":"https://alion.io/job/simplify-hr-proprietary-limited-associate-data-ml-engineer","title":"Associate 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":"junior","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":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"C#","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","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":"2026-09-01T00:00:00Z","employer_posted_date":"2026-09-01","last_verified_at":"2026-09-29T13:23:43Z","board_verified":false,"closed_at":null,"days_open":33,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":33},"description":"A green energy supplier is looking for an Associate Data & ML Engineer to join their team in Cape Town, WC.Purpose of the role:\nThe Associate Data & ML Engineer supports the technical delivery of Globeleq’s Data Transformation initiative under the direction of the Data Engineering Manager. The role focuses on building and maintaining assigned data pipelines, onboarding assets and preparing data ready for AI and machine learning.\nWorking within the technical shared services team, the Associate translates clear requirements into reliable, productiongradecomponents,applyingsoundengineeringpracticeundertheguidanceof senior engineers.\nResponsibilities:\nData Engineering:\n\nBuild, monitor, and maintain assigned data pipelines across API, SQL, and ETL/ELT workflows, resolving routine issues and escalating complex matters where required.\nDevelop and extend the integrated Single Source of Truth (SSOT), consolidating data from sources including CAMs, ERP, OT, IoT systems, and SharePoint into a layered architecture comprising staging, core, marts, and feature sets.\nApply sound data engineering practices, including version control, testing, documentation, and quality assurance.\nMachine Learning:Develop and implement machine learning algorithms for anomaly detection, predictive analytics, and neural network use cases, leveraging established libraries and frameworks under guidance.\nStructure, prepare, and validate feature sets to ensure data is suitable for machine learning applications, including validation of model inputs and outputs.\nLeverage AI coding assistants to improve development efficiency while thoroughly reviewing and validating all generated code before implementation.\nGovernance & Ownership:Take ownership of assigned tasks and deliverables, ensuring reliable and timely completion while seeking guidance on scope and priorities where required.\nWork within defined requirements, established development patterns, and agreed standards, proactively identifying and escalating risks.\nAdhere to Data Governance Policies, security requirements, and IT standards, while maintaining accurate and up-to-date change records.\n Platform Ownership:Onboard assets and equipment and map tags into the AVEVA PI Asset Framework and Central Asset Management System (CAMs) using established templates and processes.\nSupport the development, maintenance, and continuous improvement of calculations within CAMs.\nConfigure alarms and PI Vision displays according to specifications, monitor assigned PI interfaces, and resolve routine data quality issues with appropriate support.\nSkills & Competencies:Programming: Solid programming foundations in Python and SQL, with C# advantageous. Developing proficiency in SQL, including DDL, DML, stored procedures, and views.\nData Engineering: Working knowledge of API integration, ETL/ELT orchestration, and data modelling.\nMachine Learning: Solid understanding of machine learning fundamentals, including feature engineering, model evaluation, overfitting, and data drift, with the ability to develop simple models using established libraries.\nIndustrial Data & Engineering: Interest in AVEVA PI and industrial data, with sound engineering practices across version control, testing, documentation, and data quality.\nCommunication & Ownership: Clear and effective communicator with a strong sense of accountability and ownership for assigned work.\nRequirements:Education: Degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field.\nExperience: 2-4 years’ experience in data engineering, data platform development, or a similar technical role, with demonstrated hands-on delivery.\nData Engineering: Hands-on experience with API integration, ETL/ELT scheduling, data modelling, and basic production operations, including monitoring and incident support.\nTechnical Skills: Strong proficiency in SQL and Python, particularly for data engineering and machine learning enablement.\n Advantageous:Exposure to AVEVA PI, including PI Data Archive, Asset Framework, and PI Vision.\nExperience within power engineering, renewable energy, industrial data, or IoT environments.\nFamiliarity with machine learning in production, MLOps concepts, and deep learning tools such as TensorFlow and PyTorch.\nContact Hire Resolve for your next career-changing move.Our client is offering a highly competitive salary for this role based on experience.\nApply for this role today, contact Gaby Turner at Hire Resolve or on LinkedIn. You can also visit the Hire Resolve website: hireresolve.us or email us your CV: \nWe will contact you telephonically in 3 days should you be suitable for this vacancy. If you are not suitable, we will put your CV on file and contact you regarding any future vacancies that arise.","description_format":"text","description_chars":4795,"description_truncated":false,"requirements":{"experience_years_min":2,"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":"2026-09-29T07:50:11Z"}],"visa":[],"liveness":{"score":34,"band":"fade","label":"Fading","p_open":0.9,"p_active":0.52,"p_room":0.72,"age_days":32,"expected_fill_days":49,"reasons":["conf:88","stale_co","velocity","win:mid","crowd:junior,brand"],"computed_at":"2026-10-03T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/simplify-hr-proprietary-limited-associate-data-ml-engineer","json_url":"https://alion.io/job/simplify-hr-proprietary-limited-associate-data-ml-engineer.json","meta":{"generated_at":"2026-10-04T03:12:44Z","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":4857,"day_limit":5000,"remaining_today":143,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}