{"id":1149306,"url":"https://alion.io/job/ge-vernova-lead-research-engineer-aiml-2","title":"Lead Research Engineer - AI/ML","company":{"id":6165,"name":"GE Vernova","domain":"gevernova.com","url":"https://alion.io/company/ge-vernova","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":406,"ghost_share":0.005,"stale_share":0.665,"repost_share":0.032,"time_to_fill_p50_days":27,"computed_at":"2026-11-02T06:13:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","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":{"min_usd":27000,"max_usd":70000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":47},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-17T00:00:00Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-11-03T02:18:48Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":46},"description":"Job Description Summary\nGE Vernova’s Advanced Research business is the central innovation engine for GE’s portfolio of energy businesses, which is unified under one banner called GE Vernova. The research organization is made up of 300+ researchers representing virtually every major scientific and engineering discipline. Collectively, they are driving major research programs and initiatives to decarbonize power, accelerate renewables, and promote electrification and the creation of a 21st century grid fit to power a zero-carbon energy future.We are seeking a highly motivated and skilled lead researcher to join our team in the field of Artificial Intelligence, Machine Learning (AIML). As a Lead research engineer, you will have the opportunity to work closely with our experienced engineers and researchers on cutting-edge projects that leverage AIML techniques for the development of state-of-the-art prognostics, diagnostic and modelling solutions.\nJob Description\nRoles and responsibilities:\nLead the development of advanced algorithms and methodologies in artificial intelligence and machine learning (AIML) to drive process and product innovation.\nOversee the analysis of extensive datasets to identify complex patterns, trends, and insights, with an emphasis on diagnostics and prognostics for large-scale energy equipment.\nArchitect and optimize AIML algorithms and models to ensure superior performance and scalability.\nDesign, conduct, and supervise experiments to assess the efficacy and reliability of AIML-based solutions.\nDocument and disseminate research findings, methodologies, and implementation strategies for effective knowledge sharing and future reference.\nCollaborate with and guide cross-functional teams, including engineers, researchers, and product managers, to seamlessly integrate AIML solutions into existing system platforms.\nStay at the forefront of advancements in AIML, control systems, and signal processing engineering, through literature reviews, and active participation in conferences and seminars.\nLead research initiatives to conceptualize and develop AI solutions for complex industrial challenges.\nMentor junior researchers and contribute to project leadership, ensuring alignment with strategic objectives.\nDemonstrate the impact of AI through advanced prototypes and solutions that address real-world problems.\nUtilize and advocate for best practices in software libraries, tools, and methodologies to implement efficient, scalable, and reusable solutions.\nDrive intellectual property development by authoring invention disclosures and filing patents.\nPublish research in high-impact scientific journals and present findings at leading conferences.\nRequired Qualifications:\nPhD with 3-7 years relevant experience or Masters with 6 -10 years relevant experience from a reputed institution.\nExtensive understanding and experience in machine learning, artificial intelligence, and related fields.\nProven track record of applying multiple advanced AIML concepts to practical applications.\nProficiency in programming languages and frameworks commonly used in AIML applications, such as Python, TensorFlow, PyTorch, and others.\nExpertise in data analysis and manipulation using tools like pandas, NumPy, and proficiency in software development best practices, including version control (e.g., Git) and agile methodologies.\nStrong leadership capabilities, excellent problem-solving skills, and ability to think critically and creatively.\nSuperior communication skills and ability to lead, mentor, and work effectively in a collaborative team environment.\nDemonstrated ability to build advanced prototypes and rapidly develop proof-of-concepts to illustrate solution feasibility.\nAdditional Information\nRelocation Assistance Provided: Yes","description_format":"text","description_chars":3781,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Relocation assistance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Artificial Intelligence","Energy Efficiency","Smart Grid","Smart City"],"lifecycle":[{"event":"open","at":"2026-09-23T16:53:47Z"},{"event":"close","at":"2026-09-23T18:56:41Z"},{"event":"reopen","at":"2026-09-30T15:57:43Z"}],"visa":[],"liveness":{"score":20,"band":"cold","label":"Long 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