{"id":1888595,"url":"https://alion.io/job/tudip-lead-aiml-engineer","title":"Lead AI/ML Engineer","company":{"id":2319255,"name":"Tudip Technologies","domain":"tudip.com","url":"https://alion.io/company/tudip","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"C","score":55,"open_postings":121,"ghost_share":0.752,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":55000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":34},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BERT","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"CI/CD","optional":true},{"name":"Edge AI","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-03-27T17:37:08Z","employer_posted_date":"2026-03-27","last_verified_at":"2026-10-17T21:04:29Z","board_verified":true,"closed_at":null,"days_open":204,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":204},"description":"About Company:\nTudip Technologies Pvt. Ltd is a CMMI Level 5 extreme technology company. Careers at Tudip Technologies are not just jobs, but a promise of a bright and dynamic future. Tudip provides ample opportunities to grow within the company technically as well as a technocrat by promoting entrepreneurship. Tudip Technologies’ careers will enable you to help clients enhance and improve while you build your career. We are a place which defines Integrity, Innovation, and Serenity. Tudip provides you a better platform that transforms an individual into an experienced and immensely skilled professional through an ethical and vibrant business environment. We are here for effective client servicing, taking care of our employees’ needs, and creating a success story to remember.\nJob Role:\nWe are looking for an experienced Lead AI/ML Engineer to drive the design, development, and deployment of scalable AI/ML solutions. The ideal candidate will have strong expertise in machine learning, deep learning, and modern AI technologies including Generative AI and LLMs. This role involves leading a team, defining architecture, and delivering end-to-end AI solutions aligned with business goals.\nPlease read the job criteria below and drop us an email at  OR create an account at our Recruitment Portal to get started.\nKey Responsibilities\nLead the design and development of AI/ML models and systems for real-world applications\nArchitect scalable and production-ready ML pipelines and data workflows\nWork on advanced AI areas such as Generative AI, LLMs, NLP, and Computer Vision\nCollaborate with cross-functional teams including product, engineering, and business stakeholders\nMentor and guide junior AI/ML engineers and data scientists\nEnsure best practices in model development, evaluation, deployment, and monitoring\nDrive model optimization, performance tuning, and scalability improvements\nStay updated with the latest advancements in AI/ML and implement innovative solutions\nHandle end-to-end lifecycle: data preprocessing, model training, validation, deployment, and monitoring.\nRequired Skills & Qualifications\n8-10 years of experience in AI/ML or Data Science roles\nStrong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn\nHands-on experience with Generative AI, LLMs (e.g., GPT, BERT)\nSolid understanding of Machine Learning, Deep Learning, NLP, and Statistics\nExperience with model deployment (Docker, Kubernetes, REST APIs)\nStrong knowledge of data structures, algorithms, and system design\nExperience with cloud platforms (AWS, Azure, or GCP)\nFamiliarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.)\nStrong problem-solving and leadership skills.\nPreferred Qualifications\nExperience in building AI-driven products at scale\nExposure to RAG (Retrieval-Augmented Generation) and vector databases\nKnowledge of LangChain, LlamaIndex, or similar 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