{"id":3700110,"url":"https://alion.io/job/bright-vision-technologies-mlops-engineer-bright-vision-technologies-10","title":"MLOps Engineer - Bright Vision Technologies","company":{"id":452187,"name":"Bright Vision Technologies","domain":"brightvisiontechnologies.com","url":"https://alion.io/company/bright-vision-technologies-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"AI/ML","role_family":"AI/ML","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":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":115000,"max":165000,"currency":"USD","period":"year","gross":null,"usd_annual":165000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"Azure","optional":true},{"name":"Feature Store","optional":true},{"name":"Helm","optional":true},{"name":"Kubeflow","optional":true},{"name":"MLFlow","optional":true},{"name":"Terraform","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-11-03T19:13:39Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-09T12:47:34Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is an opportunity to contribute to technology initiatives in a collaborative environment with opportunities for professional growth.\nJob Title: MLOps Engineer\nLocation: Remote\nPosition Type: Full-time, Direct W2 - [Not open to C2C or 1099]\nSalary Range: $115,000-$165,000 Annually\nExperience Required: 5+ years\nSponsorship: U.S. Citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply. Bright Vision Technologies is unable to sponsor new H-1B visa petitions for this position.\nJob Summary\nBright Vision Technologies is seeking an MLOps Engineer to build and maintain the automation and infrastructure required to develop, deploy, monitor, and manage machine learning models in production. The role will establish reproducible pipelines, model versioning and registry practices, automated deployment, and operational monitoring in partnership with data science and platform engineering teams.\nKey Responsibilities\nBuild automated pipelines for data validation, model training, evaluation, packaging, and deployment.\n\nImplement model versioning, experiment tracking, artifact management, and model registry workflows.\n\nAutomate deployment and serving of models using containers, orchestration platforms, and approved cloud services.\n\nEstablish monitoring for model availability, latency, resource utilization, data quality, and model drift.\n\nCollaborate with data scientists, application engineers, and platform teams to improve reproducibility, reliability, and release governance.\n\nRequired Qualifications\nExperience Required: typically 5+ years in DevOps, machine learning engineering, or ML platform operations; align with the approved requisition.\n\nStrong Python or comparable scripting skills and practical experience automating engineering workflows.\n\nExperience with Docker and Kubernetes or comparable container deployment technologies.\n\nWorking knowledge of CI/CD, Git, infrastructure automation, and cloud-based deployment practices.\n\nUnderstanding of machine learning lifecycle concepts, model packaging, experiment tracking, and model serving.\n\nExperience with monitoring, logging, troubleshooting, and production support for data or application services.\n\nStrong collaboration skills working with data science, software development, and infrastructure teams.\n\nExperience working in iterative software delivery teams, participating in planning, defect triage, and release validation as appropriate to the assignment.\n\nPreferred Qualifications\nExperience with MLflow, Kubeflow, SageMaker, Azure Machine Learning, or Vertex AI.\n\nFamiliarity with feature stores, model registries, data/model drift monitoring, and pipeline orchestration.\n\nExposure to Terraform, Helm, workflow schedulers, and scalable inference systems.\n\nRelevant cloud, Kubernetes, DevOps, or machine learning operations certification.\n\nHow to Apply\nWould you like to know more about this opportunity? For immediate consideration, please send your resume to  or contact Jennifer at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.\nBright Vision Technologies is an Equal Opportunity Employer.\nEqual Employment Opportunity (EEO) Statement\nBright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.\nBV Teck expressly prohibits any form of workplace harassment or discrimination. 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