{"id":3153698,"url":"https://alion.io/job/birlasoft-data-science-ai-engineer","title":"Data Science AI Engineer","company":{"id":59310,"name":"Birlasoft","domain":"birlasoft.com","url":"https://alion.io/company/birlasoft","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":13,"ghost_share":0,"stale_share":0.154,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","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":{"min_usd":21000,"max_usd":43000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":41},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Embeddings","optional":false},{"name":"Explainable AI","optional":false},{"name":"FAISS","optional":false},{"name":"LangChain","optional":false},{"name":"LightGBM","optional":false},{"name":"LIME","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Prophet","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"SHAP","optional":false},{"name":"Statsmodels","optional":false},{"name":"Time Series","optional":false},{"name":"Transformers","optional":false},{"name":"XGBoost","optional":false},{"name":"AutoGen","optional":true},{"name":"LangGraph","optional":true}],"status":"live","first_seen_at":"2026-10-22T02:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-29T15:46:56Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Area(s) of responsibility\nData Scientist (Technical Specialist) Specialist Grade\nExperience: 6-8 years · Location: [To be filled] · Engagement: Full-time\nRole Expectations\nOwn the design, development, validation, and productionization of AI/ML models for financial forecasting. \nAnalyze historical data to identify predictive features and business-relevant patterns. \nDevelop time-series forecasting models (Prophet, ARIMA, LSTM, XGBoost) tailored to project and quantify forecast accuracy against agreed thresholds. \nBuild a Conversational AI layer using Azure OpenAI + RAG patterns to enable naturallanguage queries over financial and workforce data. \nPartner with FP&A SMEs to translate business drivers into model features and interpretable outputs. \n\nReports To\n\nSenior Technical Lead (Python) / Delivery Manager\n\nGrade\n\nTechnical Specialist (above Sr. App Developer, below Sr. Technical Lead)\n\nProgram\n\nFP&A Reporting Automation & AI Forecasting\n\nDeliver explainable AI outputs (SHAP, feature importance, etc.) so that Finance users can trust and act on model recommendations. \nCollaborate with the Sr. Application Developer to operationalize models - MLOps pipelines, model registry, monitoring, and retraining triggers. \nDocument experiments, model cards, assumptions, and limitations for audit and governance review. 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