{"id":1483763,"url":"https://alion.io/job/salt-mlops-engineer","title":"MLOps Engineer","company":{"id":1935342,"name":"Salt","domain":"welovesalt.com","url":"https://alion.io/company/welovesalt","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":{"grade":"C","score":64,"open_postings":1440,"ghost_share":0.608,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-01T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Abu Dhabi, United Arab Emirates"],"countries":["AE"],"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":"Amazon EKS","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Argo Workflows","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Feast","optional":false},{"name":"gRPC","optional":false},{"name":"IAM","optional":false},{"name":"Java","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Terraform","optional":false},{"name":"AWS","optional":true}],"status":"live","first_seen_at":"2026-08-24T00:00:00Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-09-29T22:22:26Z","board_verified":false,"closed_at":null,"days_open":39,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":38},"description":"Back to all jobs\nApplications are now closed.\nMLOps Engineer\nRef: JO-2608-362942\nUnited Arab Emirates, Abu Dhabi \n\nData, AI and Machine Learning, Technology \n\nIT \n\n1,000 - 4,999 Employee \n\nEnvironment:\n\nIn-office \n\nContract Type:\n\nContract \n\nStarts:\n\n2026-12-01 \n\nWe are working on a brand-new project, which is an Innovation Hub/Ai Lab.\nJob Purpose\nDesigns and develops a ML platform to empower the Data Science and AI team to scale ML experimentation and speed up path to production.\nKey Responsibilities:\nDesign and automate robust ML pipelines for continuous integration, continuous delivery, and continuous training (CI/CD/CT) of models.\nConfigure model serving architectures to support both ultra-low latency real-time APIs (e.g., FastAPI, gRPC) and large-scale batch inference.\nImplement model monitoring and logging systems to track model metrics, runtime latencies, data drift, and concept decay in production.\nManage model registries and metadata to ensure reproducible versioning, tracking, and auditable lineage of ML artifacts (using MLflow, Kubeflow, etc.).\nOrchestrate and scale containerized applications using Docker and production-grade Kubernetes or managed container services (EKS, AKS).\nCollaborate with security and data teams to enforce strict data governance, pipeline encryption, network isolation, and secure IAM policies.\nQualifications/Experience:\n3-7) years of experience building and operating high-availability ML pipelines, automation scripts, and foundational platform infrastructure layers.\nStrong programming skills in Python, Go, or Java alongside systems scripting and deep hands-on familiarity with Linux environments.\nDeep familiarity with MLOps tools such as MLflow, Kubeflow, Argo Workflows, Feast, or managed platform equivalents (SageMaker, Azure ML).\nUnderstanding of cloud security architectures including VPC isolation, private endpoints, encryption at rest/in transit, and role-based access control.\nUnderstanding of containerization and orchestration using Docker and Kubernetes, alongside Infrastructure-as-Code (Terraform, CloudFormation).\nSalt is acting as an Employment Business in relation to this vacancy.","description_format":"text","description_chars":2159,"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":"2026-09-29T21:54:51Z"}],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":1,"p_active":0.259,"p_room":0.55,"age_days":38,"expected_fill_days":30,"reasons":["conf:31","agency","stale_co","urgency","velocity","win:tail","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/salt-mlops-engineer","json_url":"https://alion.io/job/salt-mlops-engineer.json","meta":{"generated_at":"2026-10-02T00:39:42Z","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":605,"day_limit":5000,"remaining_today":4395,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}