{"id":965579,"url":"https://alion.io/job/xtglobal-genai-data-scientist","title":"GenAI Data Scientist","company":{"id":698322,"name":"XTGlobal","domain":"xtglobal.com","url":"https://alion.io/company/xtglobal","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":{"grade":"D","score":50,"open_postings":71,"ghost_share":0.831,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":31},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude","optional":false},{"name":"Computer Vision","optional":false},{"name":"Diffusion Models","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Stable Diffusion","optional":false},{"name":"Transformers","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"GCP","optional":true},{"name":"Hugging Face","optional":true},{"name":"LangChain","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2025-11-26T00:00:00Z","employer_posted_date":"2025-11-26","last_verified_at":"2026-10-22T19:55:53Z","board_verified":true,"closed_at":null,"days_open":330,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":330},"description":"Data ScientistJob Description GenAI Data Scientist BKC, Mumbai (WFO) Fulltime to XTGlobal Shift Hours : 8:30 AM - 5:30 PM IST\nAbout the Role We are seeking a highly skilled GenAIData Scientist with expertise in Machine Learning (ML), Artificial Intelligence (AI), and Generative AI (GenAI) to join our team. The ideal candidate will have a strong foundation in traditional data science methods along with hands-on experience in building, fine-tuning, and deploying generative AI models for business applications. This role will involve working closely with cross-functional teams to design, develop, and deploy AI/ML solutions, leveraging both classical approaches (predictive modeling, optimization, NLP, forecasting, computer vision) and cutting-edge generative AI techniques (LLMs, diffusion models, multi-modal AI).\nKey\nResponsibilities\nDevelop and deploy end-to-end ML/AI pipelines, from data collection, preprocessing, and feature engineering to model training, evaluation, and deployment.\nApply traditional ML/AI techniques (regression, classification, clustering, recommendation systems, optimization).\nDesign and implement GenAI solutions using large language models (LLMs), transformers, and multimodal architectures (text, image, audio).\nFine-tune, evaluate, and optimize foundation models (e.g., GPT, LLaMA, Claude, Falcon, Stable Diffusion) for enterprise use cases.\nResearch, experiment, and prototype cutting-edge AI solutions tailored to business problems.\nCollaborate with data engineers, ML engineers, and domain experts to productionize models and integrate them into business workflows.\nContainerize and orchestrate models and pipelines (Docker, Kubernetes).\nStay updated with the latest trends in AI, ML, and GenAI, and drive innovation and adoption of new methods.\nRequirements Required\nQualifications:\nBachelor’s degree (B.Tech, BE, or equivalent) in Computer Science, Data Science, AI, or related field.\nAdvanced degree (M.Tech/MS/MBA/PhD) is a plus but not mandatory.\n3-5 years of experience in ML/AI, with hands-on expertise in building and deploying models.\nFunctional expertise in at least one business domain (e.g., Supply Chain, Finance, Healthcare, Pharma, Customer Analytics, Manufacturing).\nProficiency in Python, PyTorch/TensorFlow, scikit-learn, Hugging Face, LangChain.\nStrong understanding of NLP, predictive modeling, deep learning architectures (CNNs, RNNs, Transformers).\nExperience with cloud AI platforms (AWS, Azure, GCP) and MLOps tools (Docker, 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