{"id":4249176,"url":"https://alion.io/job/infineon-technologies-senior-staff-machine-learning-engineer","title":"Senior Staff Machine Learning Engineer","company":{"id":51757,"name":"Infineon Technologies","domain":"infineon.com","url":"https://alion.io/company/infineon-technologies","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":80,"open_postings":190,"ghost_share":0,"stale_share":0.779,"repost_share":0.005,"time_to_fill_p50_days":55,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-11-03T10:46:19Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T13:37:38Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"We’re looking for a strategic builder to own our AI platform roadmap, streamline developer onboarding, and partner across IT, Security, and Legal to turn responsible AI guardrails into real-world business impact.\nYour role\nKey responsibilities in your new role\nShape the AI platform and tooling roadmap for Memory Solutions, aligned with business priorities.\nCoordinate access to approved AI tools, infrastructure, and services.\nPartner with IT, security, and legal to establish practical, risk-based AI governance.\nDefine standards for responsible AI use, data protection, and solution integration.\nLeverage existing enterprise capabilities before introducing custom platforms.\nAlign vendors and internal stakeholders on capabilities, licensing, and cost efficiency.\nEquip community builders with reusable components, templates, and technical guidance.\nEnable experimentation through clear guardrails and streamlined onboarding.\nCoordinate technical readiness and security review before production handover.\nTrack platform adoption, access reliability, cost efficiency, and governance effectiveness.\nYour profile\nQualifications and skills to help you succeed \nBachelor's or Master's degree in Computer Science, Information Technology, AI, Engineering, or a related field.\nPreferred domain knowledge: Semiconductor engineering, enterprise IT, and secure technology enablement across engineering and business functions.\n7 years of relevant work experience in enterprise technology, solution architecture, or AI/ML, including at least 2 years leading LLM, Generative AI, RAG, or enterprise AI platform initiatives.\nStrong understanding of enterprise AI architectures, foundation models, and integration patterns, with experience assessing and reusing existing capabilities before introducing custom platforms.\nHands-on experience integrating AI solutions with enterprise systems, APIs, and data sources, including identity and access management and appropriate data protection controls.\nExperience establishing practical, risk-based AI governance and responsible AI standards in partnership with IT, security, and legal teams.\nExperience in software engineering and AI application delivery, including CI/CD, deployment practices, technical readiness assessments, and production handover to accountable engineering and operations teams.\nGood understanding of enterprise cloud infrastructure and AI services, with the ability to assess vendor capabilities, licensing, access reliability, and cost efficiency.\nExperience shaping platform and tooling roadmaps and enabling community builders through reusable components, templates, technical guidance, and streamlined onboarding.\nHighly motivated, structured, and methodical, with a high degree of self-initiative and an analytical approach to tracking platform adoption and governance effectiveness.\nTeam player with strong communication and cross-cultural collaboration skills, able to align stakeholders and work with the fellow co-lead as an enabler rather than the default implementation or operations owner.\n#WeAreIn for driving decarbonization and digitalization.\nAs a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.\nAre you in?\nWe are on a journey to create the best Infineon for everyone.\nWe strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity.\nOur hiring decisions are based on skills and experience. 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