{"id":64620,"url":"https://alion.io/job/coderio-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":16386,"name":"Coderio","domain":"coderio.com","url":"https://alion.io/company/coderio","size_band":"201-500","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":88,"open_postings":4,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Argentina","Brazil","Uruguay"],"countries":["AR","BR","UY"],"hiring_countries":["AR","BR","UY"],"hiring_countries_total":3,"salary":null,"salary_estimate":{"min_usd":48000,"max_usd":124000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2102},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"CloudFormation","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-18T18:25:27Z","employer_posted_date":"2026-08-18","last_verified_at":"2026-10-17T07:47:30Z","board_verified":true,"closed_at":null,"days_open":59,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":59},"description":"About Us\nCoderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence. More information:http://coderio.com\nThis is a high-impact technical role. We are looking for a Senior Machine Learning Ops Engineer to join our team. You will own the architecture, development, and automation of end-to-end machine learning solutions. Operating within an established engineering team, you will be a key player in bridging the gap between data science and software engineering, evaluating cloud solutions, and deploying scalable machine learning models into production.\nThis is a hands-on execution role. You are responsible for the technical health of the ML lifecycle, the performance and cost-efficiency of the cloud architecture, and delivering high-quality, scalable solutions that drive business value.\nWhat To Expect In This Role (Responsibilities)\nML Architecture & Development: Architect and develop robust, end-to-end machine learning solutions.\n\nMLOps & Automation: Manage and automate the complete machine learning lifecycle, ensuring seamless transitions from development to production.\n\nCross-Functional Collaboration: Collaborate closely with data engineers and data scientists to create highly scalable solutions and integrate them with other technical areas across the software development life cycle.\n\nCloud & Architecture Strategy: Work on cloud solutions, actively evaluating the performance and cost-efficiency of potential architectures.\n\nBusiness Alignment: Interact with other teams and stakeholders to deeply understand business challenges and propose effective technical solutions.\n\nMentorship & Advocacy: Communicate technical concepts clearly and teach teams how to properly use and adopt the new developments.\n\nRequirements\nEducational Foundation: Bachelor’s degree in software engineering/computer science, or proven equivalent experience in data engineering or machine learning roles.\n\nML Deployment Mastery: Proven hands-on experience implementing and deploying machine learning solutions in production environments.\n\nCore Stack Expertise: Advanced knowledge of Python, SQL, and Spark.\n\nTooling & Infrastructure: Strong knowledge in (or similar to) Docker, Git, Bash Scripting, FastAPI, Sagemaker Studio, Airflow, and CloudFormation.\n\nArchitecture & Integration: Solid understanding of data architectures and complex systems integration.\n\nProblem Solving: Demonstrated ability to troubleshoot and solve complex software system issues.\n\nCloud Platforms: Extensive experience with modern cloud platforms, specifically AWS and GCP.\n\nSoft Skills: Must be a team player who effectively participates within the group. We are looking for a curious profile, a self-learner with a positive attitude, and excellent communication skills.\n\nNice to Have\nDomain experience in payments or other complex financial systems is a huge plus.\n\nBenefits\nLong-term contract engagement with high impact and autonomy.\n\nStrategic and high-visibility role within a modern engineering culture.\n\nOpportunity to influence technical strategy, especially regarding MLOps, scalable data architectures, and cloud cost-efficiency.\n\nCollaborative international team with strong technical leadership.\n\nFlexible, dynamic, and fast-paced work environment.\n\nWhy Join Coderio? At Coderio, we value talent and excellence. We are a remote-first company, and this specific strategic role offers the opportunity to drive high-stakes initiatives from anywhere. We are passionate about technology, collaboration, and fair compensation. We offer an inclusive and challenging environment with real growth opportunities. If you are motivated to design solutions that make a difference, we are waiting for you. 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