{"id":74475,"date":"2026-04-13T16:07:24","date_gmt":"2026-04-13T12:07:24","guid":{"rendered":"https:\/\/herecareers.com\/job\/senior-mlops-engineer\/"},"modified":"2026-04-13T16:07:25","modified_gmt":"2026-04-13T12:07:25","slug":"senior-mlops-engineer","status":"publish","type":"job_listing","link":"https:\/\/herecareers.com\/ar\/job\/senior-mlops-engineer\/","title":{"rendered":"Senior MLOps Engineer"},"content":{"rendered":"

411_3093499<\/p>\n

About the Institute of Foundation Models (IFM) <\/h3>\n

The Institute of Foundation Models is a dedicated research lab for building, understanding, deploying, and risk\u2011managing large-scale AI systems. We drive innovation in foundation models and their operationalization, empowering research, education, and adoption through scalable infrastructure and real\u2011world applications. <\/p>\n

As part of our engineering team, you will operate at the intersection of machine learning and systems design \u2014 building the cloud, orchestration, and deployment layers that power the next generation of intelligent applications at MBZUAI. You\u2019ll work alongside world\u2011class AI researchers and engineers to productionize LLMs, voice models, and multimodal systems at scale. <\/p>\n

The Role <\/h3>\n

As a Senior MLOps Engineer <\/b>, you will design, build, and maintain robust ML (Machine Learning) infrastructure across training, inference, and deployment pipelines. You will take ownership of the model lifecycle \u2014 from data ingestion to real\u2011time serving \u2014 and ensure our LLM and speech models are deployed efficiently, securely, and reproducibly in Kubernetes\u2011based environments. <\/p>\n

This position requires deep hands\u2011on experience with Kubernetes (EKS) <\/b>, Helm <\/b>, AWS cloud infrastructure <\/b>, \u0648 modern MLOps toolchains <\/b> (e.g., vLLM <\/b>, SGLang <\/b>, OpenWebUI <\/b>, Weights & Biases <\/b>, MLflow <\/b>). Familiarity with speech\/voice AI frameworks <\/b> like ElevenLabs <\/b>, Whisper <\/b>, \u0648 RVC <\/b> is also valuable. <\/p>\n

\u0627\u0644\u0645\u0647\u0627\u0645 \u0627\u0644\u0623\u0633\u0627\u0633\u064a\u0629 <\/h3>\n
    \n
  • Design and manage scalable ML infrastructure on AWS <\/b> using EKS <\/b>, EC2 <\/b>, RDS <\/b>, S3 <\/b>, \u0648 IAM <\/b>-based access control. <\/li>\n
  • Build and maintain Kubernetes deployments <\/b> for LLM and TTS inference using Helm <\/b>, ArgoCD <\/b>, \u0648 Prometheus\/Grafana <\/b> monitoring. <\/li>\n
  • Implement and optimize model serving pipelines <\/b> using vLLM <\/b>, SGLang <\/b>, TensorRT <\/b>, or similar frameworks for high\u2011throughput inference. <\/li>\n
  • Develop CI\/CD and MLOps automation for data versioning, model validation, and deployment (GitHub Actions, Jenkins, or AWS CodePipeline). <\/li>\n
  • Integrate OpenWebUI <\/b>, Gradio <\/b>, or similar UIs for user\u2011facing model demos and internal evaluation tools. <\/li>\n
  • Collaborate with ML researchers to productize models \u2014 including TTS (e.g., ElevenLabs API), ASR (Whisper), and LLM\u2011based chat systems. <\/li>\n
  • Ensure observability, cost optimization, and reliability <\/b> of cloud resources across multiple environments. <\/li>\n
  • Contribute to internal tools for dataset curation, model monitoring, and retraining pipelines <\/b>. <\/li>\n
  • Maintain infrastructure\u2011as\u2011code using Terraform <\/b> and Helm charts <\/b> for reproducibility and governance. <\/li>\n
  • Support real\u2011time multimodal workloads (voice, text, vision) across inference clusters. <\/li>\n<\/ul>\n

    Academic Qualifications <\/h3>\n
      \n
    • 4+ years of experience in MLOps <\/b>, DevOps <\/b>, or Cloud Infrastructure Engineering <\/b> for ML systems. <\/li>\n
    • Strong proficiency in Kubernetes <\/b>, Helm <\/b>, \u0648 container orchestration <\/b>. <\/li>\n
    • Experience deploying ML models via vLLM <\/b>, SGLang <\/b>, TensorRT <\/b>, or Ray Serve <\/b>. <\/li>\n
    • Proficiency with AWS services <\/b> (EKS, EC2, S3, RDS, CloudWatch, IAM). <\/li>\n
    • Solid experience with Python <\/b>, Docker <\/b>, Git <\/b>, \u0648 CI\/CD pipelines <\/b>. <\/li>\n
    • Strong understanding of model lifecycle management <\/b>, data pipelines <\/b>, \u0648 observability tools <\/b> (Grafana, Prometheus, Loki). <\/li>\n
    • Excellent collaboration skills with ML researchers and software engineers. <\/li>\n<\/ul>\n

      Professional Experience \u2013 Preferred <\/h3>\n
        \n
      • Extensive Experience with vLLM <\/b>, K8s <\/b>, Elevenlabs <\/b>, Whisper <\/b>, Gradio\/OpenWebUI <\/b>, or custom TTS\/ASR model hosting. <\/li>\n
      • Familiarity with multi\u2011GPU scheduling <\/b>, NCCL optimization <\/b>, \u0648 HPC cluster integration <\/b>. <\/li>\n
      • Knowledge of security <\/b>, cost management <\/b>, \u0648 network policy <\/b> in multi\u2011tenant Kubernetes clusters and cloudflare <\/b> systems. <\/li>\n
      • Prior work in LLM deployment <\/b>, fine\u2011tuning pipelines <\/b>, or foundation model research <\/b>. <\/li>\n
      • Exposure to data governance <\/b> and responsible AI operations <\/b> in research or enterprise settings. <\/li>\n<\/ul>\n

        #J-18808-Ljbffr<\/p>\n

        2026-03-27 08:38:48<\/p>","protected":false},"author":100,"featured_media":0,"comment_status":"open","ping_status":"open","template":"","job_listing_type":[68],"job_listing_category":[1348],"job_listing_location":[720],"job_listing_tag":[],"class_list":["post-74475","job_listing","type-job_listing","status-publish","hentry","job_listing_type-full-time","job_listing_category-it-technology","job_listing_location-united-arab-emirates"],"metas":{"_job_featured_image":"","_job_featured":"","_job_filled":"","_job_urgent":"","_job_category":{"1348":"IT & Technology"},"_job_type":{"68":"Full Time"},"_job_tag":[],"_job_expiry_date":"2026-06-18","_job_gender":"","_job_apply_type":"external","_job_phone":"","_job_apply_url":"https:\/\/en-ae.whatjobs.com\/coopob__cpl___411_3093499__3583?utm_source=3583&utm_medium=feed&keyword=Senior-MLOps-Engineer&location=Abu-Dhabi&geoID=8","_job_apply_email":"","_job_salary_type":"","_job_salary":"","_job_experience":"","_job_career_level":"","_job_qualification":"","_job_video_url":"","_job_photos":"","_job_application_deadline_date":"2026-06-14","_job_address":"","_job_location":{"720":"United Arab Emirates"},"_job_map_location":{"address":"","latitude":"","longitude":""},"_job_logo":"https:\/\/herecareers.com\/wp-content\/uploads\/wp-job-board-pro-uploads\/_employer_featured_image\/2025\/11\/ICON-Here-Careers-Logo-150-150x150.png","_job_employer_name":"HR","_job_employer_url":"https:\/\/herecareers.com\/ar\/employer\/hr\/"},"cmb2":{"_job_careerjet_job_fields":{"_job_careerjet_detail_url":"","_job_careerjet_company_name":""}},"_links":{"self":[{"href":"https:\/\/herecareers.com\/ar\/wp-json\/wp\/v2\/job_listing\/74475","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/herecareers.com\/ar\/wp-json\/wp\/v2\/job_listing"}],"about":[{"href":"https:\/\/herecareers.com\/ar\/wp-json\/wp\/v2\/types\/job_listing"}],"author":[{"embeddable":true,"href":"https:\/\/herecareers.com\/ar\/wp-json\/wp\/v2\/users\/100"}],"replies":[{"embeddable":true,"href":"https:\/\/herecareers.com\/ar\/wp-json\/wp\/v2\/comments?post=74475"}],"wp:attachment":[{"href":"https:\/\/herecareers.com\/ar\/wp-json\/wp\/v2\/media?parent=74475"}],"wp:term":[{"taxonomy":"job_listing_type","embeddable":true,"href":"https:\/\/herecareers.com\/ar\/wp-json\/wp\/v2\/job_listing_type?post=74475"},{"taxonomy":"job_listing_category","embeddable":true,"href":"https:\/\/herecareers.com\/ar\/wp-json\/wp\/v2\/job_listing_category?post=74475"},{"taxonomy":"job_listing_location","embeddable":true,"href":"https:\/\/herecareers.com\/ar\/wp-json\/wp\/v2\/job_listing_location?post=74475"},{"taxonomy":"job_listing_tag","embeddable":true,"href":"https:\/\/herecareers.com\/ar\/wp-json\/wp\/v2\/job_listing_tag?post=74475"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}