{"id":171014,"url":"https://alion.io/job/amgen-sr-machine-learning-engineer-3","title":"Senior AI Engineer","company":{"id":4775,"name":"Amgen","domain":"amgen.com","url":"https://alion.io/company/amgen","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":437,"ghost_share":0.002,"stale_share":0.831,"repost_share":0.007,"time_to_fill_p50_days":27,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","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":{"min":51065,"max":69088,"currency":"EUR","period":"year","gross":null,"usd_annual":78576},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Docker","optional":false},{"name":"Feature Store","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"gRPC","optional":false},{"name":"Java","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI SDK","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Agile","optional":true}],"status":"live","first_seen_at":"2026-08-05T00:00:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-17T21:14:14Z","board_verified":true,"closed_at":null,"days_open":73,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":73},"description":"Career Category\nInformation SystemsJob Description\nJoin our team at AMGEN Capability Center Portugal, consistently recognized among the top companies in the Best Workplaces(TM) ranking by Great Place to Work(R) in Portugal. In 2026, we were once again distinguished as one of the top Best Workplaces in the country (category 201-500 employees), reinforcing our commitment to an exceptional employee experience and workplace culture.\nWe are a team of over 500 talented individuals, spanning more than 30 functions and areas of expertise, and representing over 40 nationalities. Together, we bring diverse perspectives and professional backgrounds to help shape the future of healthcare through innovation and technology.\nThis is your opportunity to explore a world of possibilities across areas such as Data & Analytics, Digital, Technology & Innovation, Cybersecurity, R&D Operations, Global Distribution, Finance, Regulatory Affairs, General & Administrative, Human Resources, and many more.\nLocated in the heart of Lisbon, our AMGEN office fosters a culture of innovation, excellence, and purpose. Come thrive with us at AMGEN, supporting our mission To Serve Patients.\nWhat we do at AMGEN matters in people's lives.\nWe are seeking a Senior AI Engineer -Amgen’s senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI platforms. Sitting at the intersection of engineering excellence and data-science enablement, you will design the core services, infrastructure and governance controls that allow hundreds of practitioners to prototype, deploy and monitor models-classical ML, deep learning and LLMs-securely and cost-effectively. Acting as a “player-coach,” you will establish platform strategy, define technical standards, and partner with DevOps, Security, Compliance and Product teams to deliver a frictionless, enterprise-grade AI developer experience.\nRoles & Responsibilities:\nEngineer end-to-end ML pipelines -data ingestion, feature engineering, training, hyper-parameter optimization, evaluation, registration and automated promotion-using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks. \nHarden research code into production-grade micro-services, packaging models in Docker/Kubernetes and exposing secure REST, gRPC or event-driven APIs for consumption by downstream applications. \nBuild and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency. \n Optimize performance and cost at scale -selecting appropriate algorithms (gradient-boosted trees, transformers, time-series models, classical statistics), applying quantization/pruning, and tuning GPU/CPU auto-scaling policies to meet strict SLA targets. \nInstrument comprehensive observability -real-time metrics, distributed tracing, drift & bias detection and user-behavior analytics-enabling rapid diagnosis and continuous improvement of live models and applications. \n Embed security and responsible-AI controls (data encryption, access policies, lineage tracking, explainability and bias monitoring) in partnership with Security, Privacy and Compliance teams. \nContribute reusable platform components -feature stores, model registries, experiment-tracking libraries-and evangelize best practices that raise engineering velocity across squads. \nPerform exploratory data analysis and feature ideation on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness. \nPartner with data scientists to prototype and benchmark new algorithms, offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs. \nMust-Have Skills:\n3-5 years in AI/ML and enterprise software. \nComprehensive command of machine-learning algorithms - regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques-with the judgment to choose, tune and operationalize the right method for a given business problem. \nProven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale. \nExpert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel). \nProficiency in Python and Java; containerization (Docker/K8s); cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines). \nStrong business-case skills-able to model TCO vs. NPV and present trade-offs to executives. \nExceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narratives. \nGood-to-Have Skills:\nExperience in Biotechnology or pharma industry is a big plus \nPublished thought-leadership or conference talks on enterprise GenAI adoption. \nMaster’s degree in computer science and or Data Science \nFamiliarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery. \nSoft Skills:\nExcellent analytical and troubleshooting skills. \nStrong verbal and written communication skills \nAbility to work effectively with global, virtual teams \nHigh degree of initiative and self-motivation. \nAbility to manage multiple priorities successfully. \nTeam-oriented, with a focus on achieving team goals. \nAbility to learn quickly, be organized and detail oriented. \nStrong presentation and public speaking skills. \nAPPLY NOW\nObjects in your future are closer than they appear. Join us.\nCAREERS.AMGEN.COM\nEQUAL OPPORTUNITY STATEMENT\nAmgen is an Equal Opportunity employer and will consider you without regard to your race, colour, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.\nWe will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.\n.Salary Range\n51 065,45 EUR - 69 088,55 EUR","description_format":"text","description_chars":6206,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Portugal","iso":"PT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Biologics & Biosimilars","Immunology & Inflammation Therapeutics","Cardiometabolic Therapeutics"],"lifecycle":[{"event":"open","at":"2026-08-30T00:18:25Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.356,"p_room":0.28,"age_days":73,"expected_fill_days":27,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":78576,"is_top_pay":false},"html_url":"https://alion.io/job/amgen-sr-machine-learning-engineer-3","json_url":"https://alion.io/job/amgen-sr-machine-learning-engineer-3.json","meta":{"generated_at":"2026-10-17T22:55:57Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1109,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4775},"rest":"https://alion.io/mcp/rest/get_company?id=4775"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Famgen-sr-machine-learning-engineer-3"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Famgen-sr-machine-learning-engineer-3"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Famgen-sr-machine-learning-engineer-3"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/amgen-sr-machine-learning-engineer-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famgen-sr-machine-learning-engineer-3"}]}