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Forward Deployed Data Scientist

SAP
Bengaluru
Experience1-2 years
Salary Not disclosed
LocationBengaluru
Job TypeFull time
Skills: Machine Learning Python TensorFlow PyTorch Feature Engineering
Job Description
Job Title: Forward Deployed Data Scientist Company: SAP Job Category: Machine Learning Roles & Responsibilities: Job Description What you'll bring You have hands\-on experience in data science, machine learning, and applied AI in enterprise environments. What You'll Build You'll develop and deploy data science and AI solutions within customer\-embedded delivery teams. * Translate business challenges into data\-driven solutions — exploring data, engineering features, and developing models for classification, forecasting, anomaly detection, and recommendation scenarios. * Design, train, evaluate, and optimize ML models and statistical solutions for enterprise use cases of moderate complexity. * Develop generative AI components using LLMs, RAG pipelines, embeddings, vector databases, and agentic AI frameworks. * Define evaluation metrics, validate model performance, monitor deployed solutions, and implement improvements to accuracy and reliability. * Collaborate with AI Engineers, Data Engineers, Product Managers, and UX teams to deliver components and communicate technical findings to customer stakeholders. About SAP With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives. For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Work Location: Bengaluru, Karnataka, India Availability: Full time
Requirements
* Solid proficiency in Python and SQL, with hands\-on data science, machine learning, or applied AI experience. * Functional experience with ML frameworks such as Scikit\-learn, TensorFlow, PyTorch, or XGBoost, with a working knowledge of statistics, feature engineering, and model evaluation. * Practical exposure to large language models (LLMs), prompt engineering, Retrieval\-Augmented Generation (RAG) pipelines, embeddings, vector databases, or AI orchestration frameworks such as LangChain or LangGraph. * Experience deploying ML or AI solutions on cloud platforms using machine learning operations (MLOps) practices. * Knowledge with SAP data landscapes — such as SAP S/4HANA, SAP Business Technology Platform (BTP), or SAP AI Core — is an advantage. Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy and childbirth), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. Please note that any violation of these guidelines may result in disqualification from the hiring process. Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Feature Engineering Salary: Not disclosed
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