496 model jobs in Pune, India.

... lead end-to-end HR transformation and operational delivery engagements, helping organizations design, build, transition, and run scalable HR service delivery models. You will drive service excellence through governance, operational performance management, continuous improvement, workforce optimization, and technology-enabled ...

... Data Platform Architecture: Lead the architecture of the GenAI and agentic platform (LLM orchestration, RAG pipelines, vector search, evaluation, observability, model governance) and the data foundations behind it (streaming, lakehouse, analytics). - Architecture Governance & Risk: Establish and run architecture review forums, ...

... ownership, and timely resolution. AI & GENERATIVE AI PROFICIENCY: The candidate should be proficient in the responsible use of AI, Generative AI, and Large Language Model (LLM) tools to improve the speed, quality, accuracy, and efficiency of project and support-related work. This includes the ability to: - Use AI/LLM tools for ...

... Documentation and knowledge sharing Emerging technology monitoring Facilitation Information Security Mentoring Metrics definition and instrumentation NoSql data modelling Problem Solving Relational Data Modeling Risk Management Scripting Secure development Service operations and resiliency Software Design and Development Solution ...

... repairs and improvements. For new plants such as renewable wind and solar generation facilities along with onshore and offshore hydrocarbon process plants you will model and design all the electrical systems and equipment. Covering power generator through to end-consumers your hard work will ensure power is produced and utilised ...

... maintenance, enhancement, and testing of our models, ensuring our solutions remain cutting-edge and relevant to the evolving market needs. Key Responsibilities: 1. Model Development/Enhancement - Support senior analysts in identifying and implementing model enhancements, such as integrating new data sources or refining model ...

... doing this until the AI passes every fake test perfectly. 5. LLM Parameters (What We Send to the AI Brain) The core brain of our AI is called a Large Language Model (LLM). Think of the LLM like an incredibly smart person sitting in a dark room. This person knows how to speak perfectly but they have no idea who they are talking ...

... forecasting models for business metrics such as sales, demand, revenue, customer growth, inventory, and workforce planning.- Develop time series forecasting models using techniques such as ARIMA/SARIMA, Prophet, Exponential Smoothing, XGBoost, Random Forest, and Deep Learning models (LSTM, Transformer-based forecasting).- ...

... assessment, ensuring high accuracy and efficiency.- Collaborate with data scientists to implement and optimize machine learning algorithms, contributing to improved model performance and faster iteration cycles.- Build and maintain scalable data pipelines for model training and evaluation, ensuring data quality and availability ...

... and DevOps workflows using Jenkins and GitHub Actions, including static code analysis and quality gate implementation Hands-on experience with Large Language Models like GitHub Copilot, Claude, and Cursor Solid understanding of prompt engineering, context window management, and tokenization Working knowledge of model selection ...

... industrial automation security. The ideal candidate will have expertise in securing industrial equipment and control systems across Levels 0 to 3 of the Purdue Model , with a strong understanding of industrial controllers, field devices, communication interfaces, and industrial network security. The role focuses on identifying ...

... real-world hiring intelligence challenges, and see your models drive measurable impact from day one.Responsibilities:- Build, validate, and deploy machine learning models that improve candidate screening and job-fit scoring- Design and run rigorous experiments to evaluate model performance and product hypotheses- Write clean, ...

... integrating CI/CD and DevOps workflows using Jenkins and GitHub Actions, plus static code analysis and quality gate setup Practical exposure to Large Language Models including GitHub Copilot, Claude, and Cursor Clear understanding of prompt engineering, context window management, and tokenization Familiarity with model selection ...

... knowledge bases Grasp of Model Context Protocol concepts and frameworks, including the ability to coordinate agent interactions, delegate tasks, and monitor workflows Knowledge of Attention Mechanisms and Transformer-based model structures [{"name": "shift_work", "text": "Shift work", "categoryName": "Working schedule"}]

... knowledge sources Knowledge of Model Context Protocol concepts and frameworks, including orchestrating agent interactions, task delegation, and workflow monitoring Awareness of Attention Mechanisms and Transformer-based model architectures [{"name": "shift_work", "text": "Shift work", "categoryName": "Working schedule"}]

... customer-focused IT Service Delivery Manager to serve as the regional service delivery leader for India, APAC, and EMEA within the global Employee Experience operating model. This role is accountable for regional execution, stakeholder engagement, service performance, escalation coordination, and end-user experience outcomes while ...

... intelligent automation and conversational data interactions. - Asset and wealth management domain exposure is beneficial. - Ability to work effectively in a hybrid model and day-shift schedule with distributed teams. - Preferred certifications include Oracle Certified Professional Java SE, Spring Professional, and cloud platform ...

... architecture authority for Artificial Intelligence initiatives across the organisation, defining enterprise AI standards, Agent-to-Agent (A2A) communication patterns, Model Context Protocol (MCP) frameworks, integration architectures, security controls and enterprise deployment guidelines. The role will partner with business leaders, ...

... AI & LLM Technologies Candidates should have hands-on experience with or strong practical knowledge of: - Claude / Anthropic and/or other leading foundation models - Prompt and context engineering - Structured outputs - Tool / function calling - Agentic workflows and AI orchestration - Model Context Protocol (MCP) concepts ...

... end-to-end production workflow. Provide senior actuarial and functional expertise for Prophet, supporting clients and internal teams with complex life insurance modelling and actuarial https://jobeax.com/link/M9AEXpLsVVQ0FPxy role should be particularly strong in Prophet modelling, life insurance, reinsurance and pricing , ...