{"id":1280225,"url":"https://alion.io/job/skima-ai-senior-data-scientist","title":"Senior Data Scientist","company":{"id":2474059,"name":"Skima AI","domain":"skima.ai","url":"https://alion.io/company/skima-ai","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"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","Coimbatore, India","Bengaluru, India","Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Jenkins","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Agile","optional":true},{"name":"Docker","optional":true},{"name":"FAISS","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"Pinecone","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-08-20T05:01:39Z","employer_posted_date":null,"last_verified_at":"2026-08-20T05:01:39Z","board_verified":false,"closed_at":null,"days_open":44,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":44},"description":"About the Role : \n\nWe are looking for a highly skilled Senior Data Scientist with strong expertise in Python, GenAI, Large Language Models (LLMs), FastAPI, and Cloud Platforms (GCP/Azure/AWS). \n\nThe ideal candidate should have hands-on experience in building, deploying, and scaling AI/ML solutions, developing production-grade APIs, and implementing CI/CD pipelines for machine learning applications. \n\nThis role requires end-to-end ownership of ML solutions from model development and deployment to cloud infrastructure and API integration.\n\nKey Responsibilities : \n\n- Design, build, train, and optimize Machine Learning and Generative AI models.\n\n- Develop GenAI solutions using LLMs, RAG, embeddings, prompt engineering, and AI frameworks.\n\n- Build and maintain production-ready applications using Python and FastAPI.\n\n- Develop scalable REST APIs and integrate AI/ML services with enterprise applications.\n\n- Deploy ML models and AI applications on Google Cloud Platform (GCP), Microsoft Azure, or AWS.\n\n- Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, or similar tools.\n\n- Implement clean, modular, and maintainable code using Object-Oriented Programming (OOP) principles.\n\n- Collaborate with Product, Data Engineering, DevOps, and Infrastructure teams to deliver scalable AI solutions.\n\n- Support cloud migration initiatives and modernize ML platforms.\n\n- Monitor, troubleshoot, and optimize deployed ML services for performance and scalability.\n\nRequired Skills : \n\n- 7+ years of experience in Data Science, Machine Learning, or AI development.\n\n- Strong programming expertise in Python.\n\n- Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, and prompt engineering.\n\n- Experience building APIs using FastAPI.\n\n- Strong understanding of API Development, REST APIs, and API Management.\n\n- Experience with CI/CD tools such as Jenkins or GitHub Actions.\n\n- Strong knowledge of Object-Oriented Programming (OOP) concepts and software design principles.\n\n- Experience deploying AI/ML solutions on GCP, Azure, or AWS.\n\n- Experience with Git and version control.\n\nPreferred Skills : \n\n- Docker and Kubernetes\n\n- Vector Databases (Pinecone, FAISS, ChromaDB)\n\n- Terraform or Infrastructure as Code (IaC)\n\n- ML model deployment and MLOps practices\n\n- Microservices Architecture\n\nPreferred Qualifications : \n\n- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.\n\n- Excellent analytical, problem-solving, and communication skills.\n\n- Experience working in Agile development environments.\nSkills\nData Science, Data Scientist, Python, Generative AI, LLM, Cloud, RAG, Artificial Intelligence, Machine Learning, Git","description_format":"text","description_chars":2766,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Software","HR & Recruiting AI","Recruiting Software & ATS"],"lifecycle":[{"event":"open","at":"2026-09-26T02:00:24Z"}],"visa":[],"liveness":{"score":16,"band":"cold","label":"Long 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