{"id":3442540,"url":"https://alion.io/job/talentcross-1225-405pic-mlops-engineer","title":"1225 - 405PIC | MLOps Engineer","company":{"id":4483507,"name":"TalentCross","domain":null,"url":"https://alion.io/company/talentcross-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":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"unspecified","remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"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":"Ansible","optional":false},{"name":"Apache 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Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prometheus","optional":false},{"name":"RAG","optional":false},{"name":"Redpanda","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"TimescaleDB","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-08T17:00:45Z","employer_posted_date":null,"last_verified_at":"2026-10-08T17:00:45Z","board_verified":false,"closed_at":null,"days_open":23,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":23},"description":"Buscamos un/a MLOps Engineer con fuerte interés en automatización, cloud computing y despliegue eficiente de plataformas inteligentes.\nSi te motiva mejorar entornos productivos, garantizar sistemas escalables y confiables, y trabajar con tecnologías punteras en Machine Learning, Agentes de IA y Observabilidad, esta oportunidad es para ti.\n🚀 ¿Cuál será tu rol?Como MLOps Engineer, serás responsable de conectar el mundo del Data y el ML con la infraestructura y la operación en producción, asegurando que los modelos y agentes funcionen de forma robusta y eficiente.\nTus principales responsabilidades incluirán:\n\nDiseñar, implementar y operar infraestructuras cloud escalables en AWS, GCP o Azure, orientadas a workloads de datos y ML.\n\nAutomatizar infraestructuras y despliegues usando Terraform, Ansible, Helm y Kubernetes.\n\nCrear y mantener pipelines de CI/CD para el despliegue continuo de modelos, agentes de IA y plataformas de observabilidad.\n\nGestionar contenedores y orquestación con Docker y Kubernetes (EKS), integrando servicios de datos, IA y backend.\n\nConstruir y mantener pipelines reproducibles de entrenamiento, validación e inferencia (Airflow, MLflow, DVC, Spark).\n\nImplementar y optimizar soluciones de monitorización, logging y observabilidad (Prometheus, Grafana, ELK/EFK, OpenTelemetry).\n\nVelar por la seguridad, disponibilidad y resiliencia de las plataformas en la nube.\n\nIntegrar el ciclo completo Data → ML → Deployment → Monitoring, trabajando de forma cercana con equipos de Data, ML, DevOps y Backend.\n\nColaborar con equipos de Machine Learning para empaquetar y llevar a producción modelos y agentes de IA.\n\n(Plus avanzado) Participar en el diseño de pipelines híbridos que combinen ML tradicional, IA generativa y agentes basados en LLM (LangChain, LangGraph, CrewAI).\n\n🎯 RequisitosBuscamos a alguien con:\nFormación en Ingeniería Informática, Software, Telecomunicaciones o disciplinas relacionadas.\n\nMás de 3 años de experiencia en automatización, despliegue o gestión de infraestructura cloud.\n\nExperiencia sólida en infraestructura como código y automatización (Terraform, Helm, Ansible).\n\nConocimientos avanzados de Linux, redes y sistemas distribuidos.\n\nExperiencia práctica en pipelines de CI/CD (GitLab CI, Jenkins, ArgoCD, FluxCD).\n\nDominio de Docker y Kubernetes.\n\nExperiencia con herramientas de gestión de modelos y datos como MLflow, DVC o Vertex AI.\n\nConocimientos en monitorización, logging y observabilidad.\n\nExperiencia con bases de datos SQL y NoSQL (PostgreSQL, TimescaleDB, MongoDB).\n\nCapacidad para diagnosticar y resolver incidencias en entornos productivos de alto tráfico, optimizando costos y rendimiento.\n\nBuenas habilidades de comunicación y trabajo en equipo en entornos multidisciplinarios.\n\n🌟 Valoramos especialmente si además tienes\nExperiencia con sistemas de mensajería y streaming como Kafka, Redpanda o Benthos.\n\nConocimientos en arquitecturas serverless y event-driven (AWS Lambda, SNS/SQS).\n\nExperiencia en observabilidad avanzada y métricas de rendimiento de modelos.\n\nConocimientos en prácticas de SRE (Site Reliability Engineering).\n\nExperiencia con plataformas modernas de MLOps (Kubeflow, MLflow).\n\nFamiliaridad con despliegues automatizados y buenas prácticas DevOps.\n\nConocimientos en infraestructura para IA generativa (GPU, contenedores optimizados, RAG serving).\n\nInglés técnico avanzado, escrito y hablado, para colaborar con equipos y partners internacionales.\n\nOriginally posted on Himalayas","description_format":"text","description_chars":3473,"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":"2026-10-29T06:16:45Z"},{"event":"close","at":"2026-10-29T14:15:45Z"},{"event":"reopen","at":"2026-10-29T16:15:00Z"},{"event":"close","at":"2026-10-30T10:15:45Z"},{"event":"reopen","at":"2026-10-30T12:15:00Z"}],"visa":[],"liveness":{"score":48,"band":"ok","label":"Likely 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