... machine learning and language models. - Develop model evaluation frameworks and establish appropriate performance and quality metrics. - Experiment with different model architectures, prompts, parameters, and optimisation techniques. - Implement Explainable AI (XAI) approaches to improve model transparency and interpretability. ...
... move from development to testing and validation in real engineering applications. Responsibilities - Assist in developing and testing AI/ML and computer vision models . - Prepare, clean, organize, annotate, and validate datasets. - Run model inference and evaluate performance using appropriate metrics. - Compare model versions ...
... architectures using frameworks such as TensorFlow, PyTorch, or equivalent technologies. - Perform exploratory data analysis, feature engineering, statistical analysis, model selection, and hyperparameter optimization. - Evaluate model performance using appropriate statistical and business metrics and continuously improve model accuracy, ...
... preparation, transformation, feature engineering, and analysis. - Develop and optimise machine learning models based on business and product requirements. - Evaluate model performance using appropriate metrics, validation techniques, and experimentation frameworks. - Build production-ready ML pipelines and integrate models into ...
... Indian Institute of Science (IISc). The company is building advanced AI for the planning and operations of critical networks. Its core technology is a World Model for critical networks — frontier AI, not another LLM wrapper. The founding team previously built and scaled a deep-tech company in the private 5G and cellular ...
... models, fine-tuned LLMs, and rule/ML hybrid approaches. Build and maintain training and evaluation datasets, labeling workflows, and benchmark suites. Track model performance through precision/recall, error analysis, drift, and adversarial robustness . Serve models in production under strict latency requirements, working ...
... turns. - Create prompts that require the AI to appropriately use personal information and experiences. - Approach evaluations creatively to thoroughly test the model’s personalization capabilities. - Develop prompts based on realistic personal context and intended outcomes. AI Response Evaluation - Evaluate model responses ...
... with cross-functional teams (Product, Engineering, Data Science) to identify use cases and deliver scalable Gen AI applications. - Drive prompt engineering, model evaluation, and performance optimization. - Ensure ethical AI practices, data privacy, and responsible model usage. - Mentor junior team members and contribute ...
... to work with cutting-edge AI and machine learning projects. As a Research Analyst, you will play a crucial role in enhancing the performance of large language models by providing analytical insights, validating content, and assisting in model fine-tuning processes. Your work will involve analyzing complex data, breaking ...
... audit Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices Perform feature engineering, model tuning, and validation to ensure that models are production-ready and optimized for performance Build, test, and deploy real-time prediction models, maintaining ...
... (TDDs) that govern how ML model outputs are consumed into operational pipelines, aligning engineering, DS, and product before implementation begins. Wire ML model prediction outputs into the CDP via Segment custom events, bridging DS/ML model scoring to member-facing campaign activation in Iterable. Provision and manage ...
... working in Agile delivery environments. Power BI Development Advanced Power BI Dashboard and Report Development Strong DAX and Power Query expertise Semantic Model / Data Modeling Dashboard performance optimization Data visualization best practices Power BI Service administration and workspace management Row-Level Security ...
... standards. By leveraging market insights and proactive problem-solving, the role ensures consistent product availability, minimizes losses, and supports the growth of model parlours—contributing directly to the organization’s market expansion and brand reputation. Responsibilities Achieve sales targets and expand distribution networks ...
... applications, APIs, and automation workflows. Work with vector databases (FAISS, Pinecone, Chroma, Weaviate) for semantic search. Monitor, evaluate, and optimize GenAI models for accuracy, performance, and cost. Expertise You'll Bring: - 5+ years of experience in AI/ML, including model development, data preprocessing, EDA, training, ...
About the job :Location : Bangalore / Lucknow / PuneWork Model : HybridRole Type : Full-time, Senior LevelExperience : 4 - 6 YearsRole Overview :We are looking for a Generative AI / Agentic AI Developer with strong experience in Large Language Models (LLMs), AI Agents, RAG architectures, and intelligent automation systems. ...
About the job :Location : Bangalore / Lucknow / PuneWork Model : HybridRole Type : Full-time, Senior LevelExperience : 4 - 6 YearsRole Overview :We are looking for a Generative AI / Agentic AI Developer with strong experience in Large Language Models (LLMs), AI Agents, RAG architectures, and intelligent automation systems. ...
... teams can understand business and product performance and make better decisions. Design and evolve a data platform that enables scientists and analysts to query, model, and ship features and product metrics. Maintain and fix existing ETLs, improving reliability, observability, and cost while planning safe backfills and replays. ...
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's ...