{"id":3731623,"url":"https://alion.io/job/zf-group-principal-engineer-aiml","title":"Principal Engineer-AI/ML","company":{"id":7001,"name":"ZF Group","domain":"zf.com","url":"https://alion.io/company/zf-group","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":98,"open_postings":14,"ghost_share":0,"stale_share":0.071,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-11-08T05:47:12Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hugging Face","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"OCR","optional":false},{"name":"PaddleOCR","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"PaddlePaddle","optional":true}],"status":"live","first_seen_at":"2026-11-04T02:00:00Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-08T13:01:40Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Req ID 87608 | GBS Chennai, India, ZF Commercial Vehicle Control Systems India Limited\nJob Description\nAbout the team\n RPA Products\nWhat you can look forward to as Lead AI/ML Engineer:\n\nPlan, introduce, customize, and support development projects for the complete end to end capabilities of OCR/ ICR Product and future RPA Products\nImplementation of full -life-cycle OCR/ICR solutions development projects in a cross-functional team of and Artificial Intelligence solutions from requirements gathering to solution delivery\nDevelop and fine-tune vision-language models, machine learning models, especially for document-based use cases such as PDF, images data extractio\nCustomize pre-trained models (e.g., LayoutLM, LayoutLMv2/v3, Donut, Tesseract, etc.) for specific business requirements.\nImplement OCR pipelines and enhance text recognition for structured and unstructured data\nPython (advanced) - FastAPI, ML pipelines. ML frameworks - PyTorch, TensorFlow, HuggingFace.\nYour Profile as Lead AI/ML Engineer:\n\nAny Bachelor’s or Master’s degree with deep Technical knowledge on AI ML products, technologies, processes and procedure models\n8-12 Years of overall experience and minimum 5+ years experience in AI ML products, primarily with OCR/ICR technologies. \nProfound knowledge of programming languages such as Python including ML frameworks/libraries and analytics tools and technology (Microsoft Azure, MLflow, CI/CD, Automations, OCR, etc.)\nFew years of experience as a Technical Architect and experience in analysis, design, development, testing and implementation of enterprise scale AI products\nML model design, training & production deployment & OCR model training & fine-tuning\nHands-on experience with OCR technologies (e.g., PaddleOCR, Tesseract).\nWhy should you choose ZF Group in India?\n\nInnovative Environment: ZF is at the forefront of technological advancements, offering a dynamic and innovative work environment that encourages creativity and growth.\nCareer Development: ZF is committed to the professional growth of its employees, offering extensive training programs, career development opportunities, and a clear path for advancement.\nGlobal Presence: As a part of a global leader in driveline and chassis technology, ZF provides opportunities to work on international projects and collaborate with teams worldwide.\nSustainability Focus: ZF is dedicated to sustainability and environmental responsibility, actively working towards creating eco-friendly solutions and reducing its carbon footprint.\nEmployee Well-being: ZF prioritizes the well-being of its employees, providing comprehensive health and wellness programs, flexible work arrangements, and a supportive work-life balance.\nBe part of our ZF team as Principal Engineer-AI/ML and apply now!\nContact\nAbdul Rahim 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