{"id":694598,"url":"https://alion.io/job/spector-senior-machine-learning-engineer-genai","title":"Senior Machine Learning Engineer (GenAI)","company":{"id":684899,"name":"Spector","domain":"spector.ai","url":"https://alion.io/company/spector-3","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-29T05:49:05Z"}},"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":["Bengaluru, India","Mountain View, United States"],"countries":["IN","US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":51000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":41},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false}],"status":"live","first_seen_at":"2025-12-13T09:23:59Z","employer_posted_date":"2025-12-13","last_verified_at":"2026-10-29T19:09:54Z","board_verified":true,"closed_at":null,"days_open":320,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":319},"description":"Role Description\nWe are seeking a senior genAI engineer to join our seasoned founding team to drive the development and innovation of our GenAI platform. Ideal candidates bring extensive experience in building agentic workflows, knowledge graphs and multimodal extraction systems for enterprise use cases.\nThis role requires a hands-on engineer who is passionate about our mission, thrives in a startup environment, and is committed to pushing the boundaries of what AI can achieve in industrial resilience.\nYou will:\nLead engineering initiatives aimed at the continuous enhancement of the AI platform, with a focus on the rapid development and iteration of scalable, robust distributed infrastructure to support machine learning training, inference, and evaluation.\n\nHands-on contributor and overseer of GenAI workflow development and deployment across multiple clusters and cloud environments.\n\nDefine and articulate the long-term strategic vision for Spector’s GenAI platform.\n\nMentor and guide junior engineers, fostering a culture of growth, collaboration, and innovation within the technical team.\n\nMust Have:\nAdvanced degree in a relevant field, such as Computer Science, Data Science, Applied Mathematics, or Engineering with more than 6 years of technical work experience.\n\nUnderstanding of the unique challenges and constraints in deploying AI solutions.\n\nHave a track record in deploying scaled ML systems.\n\nDemonstrated experience designing and implementing scalable GenAI/ML architectures capable of handling high data volume and complex data structures.\n\nStrong communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders.\n\nExperience in cross-functional team alignment and collaborating closely with domain experts, engineers, and product specialists.\n\nEntrepreneurial Mindset: Highly motivated and adaptable with a passion for innovation, problem-solving, and making a meaningful impact in a startup environment. Willingness to take ownership and drive projects from concept to implementation\n\nGood to have:\nPast experience in ML and statistical modeling.\n\nPast experience in Industrial space or familiarity with industrial operations, asset management, or reliability.\n\nBuilding genAI system with real-time responsiveness and edge-llm deployment.\n\nAboutSpector.ai\nSpector.ai is a well-funded, fast-paced, innovative seed-stage startup focused on a mission to solve the $1.5 trillion challenge of industrial asset reliability. Spector is building an AI-first industrial agent platform designed to transform plant reliability and performance from reactive to autonomous operations. By combining machine learning and domain-specific industrial AI Agents, Spector.ai enables real-time diagnostics, root cause analysis, and actionable recommendations at scale. The platform extracts insights from complex industrial data including unstructured documentation and live sensor streams reducing false positives, shortening time to resolution, and scaling expertise without reliance on data scientists.\nWe are rapidly growing and looking for an experienced, self-driven DevOps Engineer to join our core team. 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