{"id":2219191,"url":"https://alion.io/job/igad-devops-machine-learning-expert","title":"DevOps & Machine Learning Expert","company":{"id":1781072,"name":"IGAD","domain":"igad.int","url":"https://alion.io/company/igad","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","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":["Kenya"],"countries":["KE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":37000,"max_usd":101000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2792},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"GitHub","optional":false},{"name":"GitOps","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prefect","optional":false},{"name":"ArgoCD","optional":true},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"GDAL","optional":true},{"name":"GeoServer","optional":true},{"name":"Helm","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"Node JS","optional":true},{"name":"NumPy","optional":true},{"name":"PostGIS","optional":true},{"name":"PostgreSQL","optional":true},{"name":"PySTAC","optional":true},{"name":"Python","optional":true},{"name":"React.js","optional":true},{"name":"Rest API","optional":true},{"name":"SQL","optional":true},{"name":"Terraform","optional":true},{"name":"TimescaleDB","optional":true}],"status":"live","first_seen_at":"2026-10-09T14:18:00Z","employer_posted_date":null,"last_verified_at":"2026-10-09T14:18:00Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"IT Jobs, Intergovernmental Authority on Development Jobs. DevOps & Machine Learning Expert deploys ML models, pipeline automation, and cloud infrastructure for climate systems, requires a Computer Science/Data Science Degree and 4+ years DevOps/ML experience. Full-time role in Nairobi.\n\nKey Roles and Responsibilities\n\nUnder the overall guidance of the DRM Program Head, the DevOps & Machine Learning Expert will undertake the following tasks:\n\nThe hydrological forecasting chains in use at ICPAC running operationally in an automated forecast cycle, with new product releases deployed without interruption to service.\n\nHarmonised regional hydrological reference and observation datasets, with documented quality control and exchange interfaces for national hydrological services.\n\nOperational STAC API and analysis infrastructure for hazard, exposure and impact data, with reliable processing pipelines across all integrated models.\n\nEast Africa Flood Watch in public operation at functional parity with Drought Watch, with its warnings and products integrated into the East Africa Hazard Watch Portal.\n\nAutomated data processing and reporting workflows, including impact-based forecast bulletin generation with language-model-assisted drafting under documented evaluation and guardrails.\n\nTechnical support provided to Member States, NMHSs and regional partners on IGAD flood monitoring activities, with a record of requests addressed.\n\nCalibrated post-processing and multi-model ensemble combination in operations, supported by a methodology note.\n\nBayesian Network risk model and inference service deployed and integrated with the risk monitoring application.\n\nEvent-based climate storylines contributed to the drought and flood event catalogue.\n\nForecast verification framework with routine skill reporting, and documented governance for every operational model.\n\nReproducible multi-cloud infrastructure as code with ecFlow and Prefect scheduling, CI/CD and GitOps delivery, observability in production, and a tested disaster-recovery procedure.\n\nComplete technical documentation, deployment guides, JupyterHub tutorials, training materials and stakeholder hand-over.\n\nPerforms such other duties as may be assigned from time to time.\n\nKey Educational Qualifications and Professional Experience\n\nAcademic Qualification\n\nUniversity degree in Computer Science, Geo-Informatics, Hydroinformatics, Computer Engineering, Data Science, Software Engineering, Information Technology or other relevant field; an advanced degree is an advantage.\n\nCandidates should demonstrate their qualifications and proficiency in web application development and geo-application development (provide links to at least 2 samples of previous work and/or Github code)\n\nProfessional work experience\n\nMinimum of four (4) years of relevant experience in geo-applications design and development.\n\nProficiency in web application development and geo-application development, demonstrated through a portfolio of developed products (at least two samples of previous work and / or GitHub code).\n\nDemonstrated experience operating production cloud infrastructure under daily operational deadlines, and deploying machine learning models operationally rather than in research settings.\n\nExperience supporting national institutions in an operational early warning context is desirable.\n\nScripting and automation of geoprocessing and large data workflows, especially in Python; sound knowledge of SQL and PostGIS.\n\nWeb technologies (HTML, CSS, JavaScript) and production-ready geospatial web applications using Node.js, React, Mapbox GL, Leaflet, GeoServer, MapServer and GDAL; REST API development and microservices architecture; experience with Go is an advantage.\n\nOGC geospatial standards including WMS, WFS, WCS, WPS and Simple Features for SQL; handling and analysis of Earth Observation data in a range of formats.\n\nSTAC API and PySTAC; workflow management with ecFlow and Prefect; xarray, dask and the numpy ecosystem; rasterio and geopandas; GRIB2, Zarr, COG, VirtualiZarr, Icechunk and kerchunk; PostgreSQL/PostGIS and TimescaleDB.\n\nHydroinformatics: operationalisation of rainfall-runoff, hydrodynamic and rapid inundation forecasting chains; forcing preparation; catchment, river network and terrain data management; hydrometric and remotely sensed observation handling; and hydrological data standards and exchange.\n\nContainer orchestration (Docker, Kubernetes, Helm) and GitOps delivery (ArgoCD); multi-cloud computing on Google Cloud Platform and Amazon Web Services with Terraform, Coiled and CI/CD pipelines; CUDA and GPU environment management; observability, incident response, cloud security and cost management.\n\nImpact-based forecasting systems and climate modelling workflows; ensemble post-processing, calibration and downscaling; Bayesian networks; forecast verification; MLOps practice; LLM integration, evaluation and guardrails; training and capacity development.\n\nEssential Skills and Competencies Required\n\nSelf-driven, result-oriented, problem solver\n\nTeamwork\n\nCommunication\n\nContinuous improvement and knowledge sharing\n\nHow to Apply\n\nInterested candidates should send their applications in PDF format accompanied by a cover letter, curriculum vitae, copies of academic credentials, copy of professional certification, copy of passport’s biometric page / national identity card and three reference persons including one from the last employer.\n\nApplications should be submitted via email to the addresses:  with the subject line: ‘IGAD-CMA’","description_format":"text","description_chars":5557,"description_truncated":false,"requirements":{"experience_years_min":4,"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":["Cybersecurity","Farming & Agriculture","Natural Resources"],"lifecycle":[{"event":"open","at":"2026-10-10T11:47:15Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":3,"expected_fill_days":22,"reasons":["seen:3","win:early"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/igad-devops-machine-learning-expert","json_url":"https://alion.io/job/igad-devops-machine-learning-expert.json","meta":{"generated_at":"2026-10-14T03:44:24Z","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":5698,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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":1781072},"rest":"https://alion.io/mcp/rest/get_company?id=1781072"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Figad-devops-machine-learning-expert"},{"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%2Figad-devops-machine-learning-expert"},{"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%2Figad-devops-machine-learning-expert"},{"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/igad-devops-machine-learning-expert\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Figad-devops-machine-learning-expert"}]}