{"id":2578588,"url":"https://alion.io/job/olisipo-mid-machine-learning-engineer","title":"Mid Machine Learning Engineer","company":{"id":3812468,"name":"Olisipo","domain":"olisipo.pt","url":"https://alion.io/company/olisipo-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":34000,"max_usd":83000,"period":"year","method":"role_country_seniority_unknown","sample_n":32},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-14T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-14T00:00:00Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Imagine having access to over 3000 courses from day one. At Olisipo that is just the starting point. Come discover the rest! \n\nWe are looking for a Mid Machine Learning Engineer to join a hybrid project in Lisbon.\n\nSalary range: 35.050€ – 45.400€ annual gross.\n\nProfile:\n- Professional with 3+ years of hands-on experience in the Machine Learning field;\n- Minimum B2 level proficiency in English (oral and written);\n- Strong Python programming skills (OOP, design patterns, clean code, pytest/unittest);\n- Solid experience in SQL for data querying, manipulation, and pipeline integration;\n- Hands-on expertise with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and model-serving APIs (FastAPI, Flask);\n- Experience deploying models using Docker/Kubernetes and maintaining CI/CD pipelines (GitHub Actions, Jenkins);\n- Practical understanding of MLOps fundamentals (Git versioning, code reviews, model deployment, monitoring);\n- Familiarity with cloud platforms (AWS, GCP, or Azure) for ML workloads;\n- Pragmatic problem-solver comfortable building MLOps practices from scratch in an open, non-hierarchical environment.\n\nResponsibilities:\n- Package, deploy, and productionize machine learning models developed by the data science team;\n- Build, support, and maintain ML-focused CI/CD deployment pipelines;\n- Establish model monitoring and alerting mechanisms in production to track performance and failures;\n- Write clean, maintainable, and testable Python code aligned with team standards;\n- Collaborate cross-functionally with Data Scientists and Data Engineers on model integration and data transformations;\n- Optimize model performance, response times, and operational efficiency in production;\n- Support the team in establishing and automating MLOps practices from the ground up.\n\nWe offer:\n- Health insurance;\n- Free online training through the Udemy platform;\n- On-site and remote training at Olisipo's Learning Center;\n- Free certifications (after passing the exam);\n- Discounts at Olisipo Partners (in the areas of health and well-being, fitness, travel, among others);\n- Free psychological consultations;\n- Possibility of a salary advance, without commissions.\n\nIf you have the right profile, send us your CV through our website www.olisipo.pt or to  and learn more about this opportunity!","description_format":"text","description_chars":2324,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Health insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams"],"lifecycle":[{"event":"open","at":"2026-10-15T00:57:25Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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