{"id":1038050,"url":"https://alion.io/job/workana-senior-ml-engineer","title":"Senior ML Engineer","company":{"id":2402,"name":"Workana","domain":"workana.com","url":"https://alion.io/company/workana","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":true,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":85,"open_postings":41,"ghost_share":0,"stale_share":0.585,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"contractor","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Indianapolis, United States","New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":122000,"max_usd":234000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1332},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-09-18T17:14:36Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-11-07T12:30:19Z","board_verified":true,"closed_at":null,"days_open":49,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":49},"description":"Workana is the largest remote work platform for talent in Latin America. Our division focuses on matching exceptional professionals with leading and innovative companies around the globe.\nAbout the Client\nOur client is a U.S.-based organization operating in the life sciences and biotech domain, focusing on complex scientific data and machine learning systems. They are looking for a Senior Machine Learning Engineer with deep industry domain knowledge to join their technical initiatives.\nWhile the client prefers a hybrid schedule of 3 days a week in Indianapolis, Indiana (EDT/EST time zone), they are open to fully remote candidates across the East Coast of the U.S. who can travel to Indianapolis occasionally as needed.\nRole Overview\nAs a Senior Machine Learning Engineer, you will lead the architecture, integration, and scaling of machine learning capabilities within ongoing, production-grade software systems. This role sits at the intersection of machine learning, software engineering, and platform architecture, where your primary focus will be turning models into robust, scalable, and observable production systems rather than pure exploratory research.\nYou will work on an ongoing project, taking ownership of ML pipelines, model integration, and engineering quality. We are seeking a proactive professional with a great attitude who can drive technical execution, collaborate with domain experts, and deliver high-impact solutions.\nSelection Process\nThe process consists of 3 stages:\nInitial interview with Workana's recruiting team.\nPeople interview with the client's team.\nTechnical Interview with the client's team (rapid fire style).\nAs Workana has multiple clients, if you pass the first round with Workana's recruiting team, you may also be considered for other relevant opportunities if the initial opportunity does not move forward.\nResponsibilities\nOwn the architecture and implementation of production-grade ML systems and workflows. \nTransition models from development and research into scalable production services. \nDesign and build reliable training, inference, evaluation, and deployment pipelines. \nIntegrate ML models into APIs, backend services, applications, and core product workflows. \nOptimize ML systems for latency, throughput, scalability, reliability, and cost-efficiency. \nEstablish engineering standards for model versioning, testing, observability, and deployment. \nCollaborate closely with domain experts, data scientists, and cross-functional teams with a strong, collaborative attitude. \nDiagnose and resolve technical bottlenecks across the ML application stack. \nRequirements\nProven track record as a Senior Machine Learning Engineer with strong software engineering fundamentals. \nStrong industry and domain knowledge within life sciences, biotech, or scientific datasets. \nAdvanced proficiency in Python and modern ML/software engineering practices. \nDemonstrated experience deploying, scaling, and operating ML models in production environments. \nDeep understanding of model inference, system design, microservices, and cloud-native workflows. \nStrong collaborative mindset, excellent problem-solving ability, and a positive, proactive attitude.\nFluent English is mandatory, as the role involves daily interaction with U.S.-based stakeholders. \nMust be based in the United States, with preference given to candidates who can work hybrid in Indianapolis, IN or travel to Indianapolis periodically.\nBenefits\nCompetitive salary with travel expenses covered when travel is required.\nFlexible work arrangements (Hybrid in Indianapolis, IN, or Fully Remote within the U.S. East Coast with occasional travel).\nDynamic career growth with innovative, high-impact enterprise projects. \nLong-term independent contractor agreement.","description_format":"text","description_chars":3774,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Flexible schedule"],"hiring_locations":[{"name":"United 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