{"id":850424,"url":"https://alion.io/job/hiire-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":692361,"name":"Hiire","domain":"hiire.me","url":"https://alion.io/company/hiire","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"A","score":92,"open_postings":18,"ghost_share":0,"stale_share":0.111,"repost_share":0,"time_to_fill_p50_days":181,"computed_at":"2026-10-06T05:45:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Porto, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":104000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Edge AI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Semantic Search","optional":false}],"status":"live","first_seen_at":"2026-05-22T14:08:38Z","employer_posted_date":"2026-05-22","last_verified_at":"2026-10-06T11:32:16Z","board_verified":true,"closed_at":null,"days_open":137,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":136},"description":"Hiire is supporting the search for a Senior Machine Learning Engineer.\nThis is an opportunity to join an early-stage, product-driven company where AI sits at the core of the platform. You’ll work closely with the founding team and play a key role in shaping the architecture, direction, and evolution of the company’s machine learning capabilities from the ground up.\nThe team is looking for someone who enjoys solving complex technical challenges, experimenting with modern AI approaches, and building scalable, production-ready systems that deliver real value to users.\nAs part of a fast-moving startup environment, you’ll have significant ownership, contribute to technical decision-making, and help define engineering and AI best practices as the platform continues to scale.\nWhat You’ll Be Working On\nDesigning and developing AI/ML capabilities that power core platform functionality\n\nBuilding and deploying machine learning systems end-to-end, from experimentation to production\n\nWorking on problems related to:\nNatural Language Processing (NLP)\n\nIntelligent document processing\n\nSemantic search and matching\n\nInformation extraction and classification\n\nWeb data parsing and enrichment\n\nExperimenting with modern AI techniques, LLMs, and agent-based workflows to improve product capabilities\n\nTraining, evaluating, and optimizing models with a focus on scalability, performance, and reliability\n\nCollaborating closely with engineers, product stakeholders, and founders to iterate quickly and deliver impactful solutions\n\nContributing to AI development standards, tooling, testing practices, and internal processes\n\nHelping balance innovation with pragmatic engineering decisions in a fast-paced environment\n\nWhat They’re Looking For\n3+ years of experience working as a Machine Learning Engineer or AI Engineer in product-focused environments\n\nStrong Python development experience in production systems\n\nHands-on experience building AI-driven solutions using:\nLLMs\n\nPrompt engineering\n\nFine-tuning techniques\n\nConversational AI\n\nMulti-agent systems/frameworks\n\nSolid understanding of modern machine learning and NLP concepts\n\nExperience deploying and maintaining ML systems in production environments\n\nStrong problem-solving mindset with the ability to work independently and take ownership\n\nComfortable operating in ambiguous, fast-changing startup environments\n\nBachelor’s or Master’s degree in Computer Science, Machine Learning, AI, or a related field\n\nStrong communication and collaboration skills\n\nWhy This Opportunity?\nHigh ownership and direct impact on product and technical direction\n\nOpportunity to shape the AI architecture and engineering culture early on\n\nWork alongside experienced founders and high-performing engineers\n\nFast iteration cycles and exposure to cutting-edge AI technologies\n\nProduct-centric environment where engineering work directly influences user value\n\nStrong focus on innovation, experimentation, and continuous improvement\n\nSalary Range: 70k - 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