{"id":4309814,"url":"https://alion.io/job/newvision-software-consultancy-senior-data-scientist","title":"Senior Data Scientist","company":{"id":4489094,"name":"NewVision Software & Consultancy","domain":"newvision-software.com","url":"https://alion.io/company/newvision-software-and-consultancy","size_band":"501-1000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","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":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-07-03T00:00:00Z","employer_posted_date":"2026-11-14","last_verified_at":"2026-11-14T11:21:27Z","board_verified":true,"closed_at":null,"days_open":134,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":134},"description":"Job Description\nPosition: Senior Data Scientist\nJob Summary\nWe are seeking an experienced and highly motivated **Senior Data Scientist** to lead the design, development, and deployment of advanced AI and Machine Learning solutions. The ideal candidate should possess strong expertise in **Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Generative AI**, along with hands-on experience in building scalable AI systems using modern frameworks and cloud technologies.\nThis role requires both strong technical leadership and people management skills. The candidate will lead a team of data scientists and machine learning engineers, collaborate with cross-functional stakeholders, and drive AI initiatives from ideation to production.\nKey Responsibilities\n* Lead the design, development, and deployment of Machine Learning, Deep Learning, NLP, and Generative AI solutions.\n* Architect end-to-end AI pipelines, from data ingestion and preprocessing to model training, evaluation, deployment, and monitoring.\n* Develop production-ready AI systems with a focus on scalability, reliability, and performance.\n* Lead the implementation of Large Language Model (LLM) applications, Retrieval-Augmented Generation (RAG), AI agents, and intelligent automation solutions.\n* Mentor and guide junior data scientists and machine learning engineers through code reviews, technical discussions, and knowledge-sharing sessions.\n* Manage and lead a team, including task planning, work allocation, performance monitoring, and career development.\n* Collaborate with business stakeholders to translate business challenges into AI-driven solutions.\n* Drive experimentation, feature engineering, model optimization, and performance tuning.\n* Ensure best practices in model governance, reproducibility, versioning, and MLOps.\n* Stay current with advancements in AI, LLMs, NLP, and Generative AI technologies.\nRequired Technical Skills\n* Strong expertise in Machine Learning and predictive analytics.\n* Hands-on experience in Deep Learning model development and deployment.\n* Strong understanding of Natural Language Processing (NLP) techniques and applications.\n* Experience building Generative AI solutions using Large Language Models (LLMs).\n* Proficiency in Python and AI/ML development frameworks.\n* Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).\n* Familiarity with Git, CI/CD pipelines, and code quality tools.\n* Experience with Docker and containerized application deployment.\n* Strong leadership 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