{"id":2830808,"url":"https://alion.io/job/accenture-mlops-engineer","title":"MLOps Engineer","company":{"id":271,"name":"Accenture","domain":"accenture.com","url":"https://alion.io/company/accenture","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":2053,"ghost_share":0.001,"stale_share":0.111,"repost_share":0.005,"time_to_fill_p50_days":5,"computed_at":"2026-10-20T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Vilnius, Lithuania"],"countries":["LT"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":1700,"max":3400,"currency":"EUR","period":"month","gross":true,"usd_annual":45864},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"CircleCI","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Keras","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"OpenShift","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Ruby","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-08-09T00:00:00Z","employer_posted_date":"2026-08-09","last_verified_at":"2026-10-19T17:53:38Z","board_verified":true,"closed_at":null,"days_open":72,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":72},"description":"MLOps is a set of management techniques for the deep learning or production ML lifecycle, formed from machine learning or ML and operations or Ops. These include ML and DevOps methods, as well as data engineering processes for deploying and maintaining machine learning models in production.\nBenefits:\nCompensation at Accenture varies depending on a wide array of factors including but not limited to role, level, location, effort, responsibility, skillset, and level of experience. The range of base pay for this role is:\nSenior Analyst - 1,700 - 3,400 EUR gross per month\n\nAnalyst - 1,400 - 2,800EUR gross per month\n\nFlexible vacation + health & travel insurance + relocation\n\nWork from home, flexible working hours\n\nWork with Fortune 500 companies from different industries all over the world\n\nSkills development and training opportunities, company-paid certifications\n\nOpportunities to advance career\n\nAn open-minded and inclusive company culture\n\nKey responsibilities:\nDesign and implement cloud solutions, build MLOps on cloud (AWS, Azure, or GCP)\n\nBuild CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools\n\nData science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality\n\nData science models testing, validation and tests automation\n\nCommunicate with a team of data scientists, data engineers and architect, document the processes\n\nRequired Qualifications:\nAbility to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP)\n\nExperience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift\n\nProgramming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.\n\nAbility to understand tools used by data scientist and experience with software development and test automation\n\nFluent in English, good communication skills and ability to work in a team\n\nDesired Qualifications:\nBachelor’s degree in Computer Science or Software Engineering\n\nExperience in using AWS, MS Azure or GCP services.\n\nGood to have any associate Cloud Certification\n\nDue to project requirements, candidates must currently hold EU work permit and be available to start within 1 to 3 months of receiving an offer.\nAbout Accenture\nAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us atwww.accenture.com\nEqual Employment Opportunity Statement\nWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. 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