{"id":3677242,"url":"https://alion.io/job/microsourcing-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":50081,"name":"MicroSourcing","domain":"microsourcing.com","url":"https://alion.io/company/microsourcing","size_band":"5000+","is_staffing_agency":false,"employer_type":"staffing","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":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["PH"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-11-03T07:27:16Z","employer_posted_date":null,"last_verified_at":"2026-11-03T07:27:16Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"Discover 100% YOU as an Machine Learning Engineer Apply now!\n\nPosition: Machine Learning Engineer\n\nLocation: Central Luzon\n\nWork setup & shift: Remote | Day Shift\n\nWhat's in it for you?\nCompetitive Total Rewards (Compensation, Allowance, HMO, and Paid Time Off)\n\nEmployee Referral Program\n\nWork Life Balance/Company Provided Equipment\n\nYour RoleAs an Machine Learning Engineer, you are responsible for:\n\nDesign and implement MLOps infrastructure so teams can experiment fast and ship with confidence.\n\nBuild tooling for model versioning, evaluation, monitoring and feedback loops.\n\nIntroduce \"think like a scientist\" processes — structured experimentation, reproducibility, clear decision frameworks.\n\nAutomate LLM prompt pipelines and integrate them safely and reliably into production systems.\n\nDrive best practices for model lifecycle management, performance, and monitoring in production.\n\nMentor peers in MLOps and engineering best practices; advocate for cross-functional collaboration.\n\nQualifications, Skills and Experience\nStrong Python engineering skills, with experience developing production-ready applications, services, or ML solutions.\n\nBroad experience in Machine Learning Engineering, including developing, deploying, and maintaining machine learning solutions.\n\nHands-on experience building data and ML pipelines using modern workflow or orchestration frameworks.\n\nGood understanding of software engineering best practices, including version control, testing, and code quality.\n\nExperience working with ML workflows from development through deployment and production support.\n\nExperience with MLOps or LLMOps libraries, tools, and workflows.\n\nFamiliarity with model monitoring, experiment tracking, and ML-focused CI/CD practices.\n\nExperience working with AWS or GCP data and compute services.\n\nExperience with containerisation technologies such as Docker.\n\nFamiliarity with Infrastructure as Code (IaC) tools and practices.\n\nExposure to deploying and maintaining machine learning models in production environments.\n\nAbout BeepoOur Beepo office is located in Clark, Pampanga. We provide exceptional workforce support to clients all over the world. Our primary focus is to help businesses grow sustainably with the help of fantastic Philippine talent.\nYou will be supported by a great working environment, leading benefits, and an opportunity to meet your career goals. You will be able to apply your skills and innovative thinking to this role. 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