282 model jobs in Bangalore, India.

... with at least one major cloud platform and its configuration-management capabilities - Working knowledge of artificial intelligence, machine learning concepts, model lifecycles, application programming interfaces, and large language model technologies - Experience conducting security architecture reviews, threat modelling, ...

... https://jobeax.com/link/WjmF3somLW10dsYo is a deeply hands-on research and engineering role involving prototyping, experimentation, architecture exploration, and large-scale model https://jobeax.com/link/rlOgaQk9Pqybz5ZX will work across representation learning, model scaling, multimodal learning, and spatiotemporal modeling to build reusable ...

... reward models and preference-based learning systems. - Strong understanding of reinforcement learning concepts, policy optimization, reward functions, preference modeling, and model evaluation. - Experience working with Large Language Models (LLMs) and their training or post-training workflows. - Strong Python programming skills ...

... and uphold trust through integrity. Skills and Competencies - 10+ years of relevant professional experience in a quantitative role (e.g., credit risk, rating models, structured finance) - Deep quantitative expertise with ownership of business logic design for credit rating models across the model suite. Very strong understanding ...

... excellence to solve complex real-world problems on a global https://jobeax.com/link/HhSDI6tBiKOoJarW Overview : As a Machine Learning Researcher focused on Foundation Models, you will be at the forefront of developing large-scale generative and discriminative models tailored for geospatial data. You will work closely with data scientists, ...

... enterprise applications, knowledge repositories, and external tools.- Strong foundation in classical Machine Learning concepts, including feature engineering, model development, hyperparameter tuning, and model evaluation.- Experience working with structured and unstructured datasets for predictive and analytical use cases.- ...

... Able to prepare Plant 3D Model based on Basic Engineering documents using 3D Modeling softwares like, Autodesk Revit and Plant 3D etc.. - Able to prepare BIM model , coordination and prepare high quality construction or fabrication drawings. Develop model upto LOD 400. - Able to understand & perform peer reviews Quality ...

... (regression models, XGBoost, Random Forest, LSTM). - Proven experience managing the complete ML lifecycle — from data pipeline design and feature engineering through model training, validation, deployment, and performance monitoring. Hands-on experience with feature importance/driver analysis and model explain ability techniques ...

... Design and implement reproducible experiment pipelines for AI security research.- Build automation frameworks for benchmarking, ablation studies, and large-scale model evaluations.- Develop experimental benches for model fingerprinting, mechanistic analysis, unlearning, and provenance.- Translate research prototypes into engineering-grade ...

... (regression models, XGBoost, Random Forest, LSTM). - Proven experience managing the complete ML lifecycle - from data pipeline design and feature engineering through model training, validation, deployment, and performance monitoring. Hands-on experience with feature importance/driver analysis and model explain ability techniques ...

... productizing machine learning models for high‑performance use cases. - Solid understanding of core machine learning concepts, including feature engineering, model evaluation, and optimization. - Experience implementing MLOps best practices, including model versioning, monitoring, and CI/CD pipelines for ML models. - Hands‑on ...

... Manager, Anaplan will design best-in-class Anaplan solutions that meet the tailored needs of our clients. You will develop and cast the technical vision to internal model building consultants, and most importantly, to our clients, as we work to deliver the best possible solution to their challenges. Your design will account for ...

... LangChain, LlamaIndex, AutoGen, CrewAI, or Semantic Kernel- Familiarity with fine-tuning techniques : LoRA, QLoRA, PEFT, instruction tuning- Experience deploying models on cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML)- Understanding of data preprocessing, feature engineering, and model evaluation metrics- Proficiency ...

... develop, and implement AI/ML-based solutions using Python.- Build and fine-tune models using TensorFlow, PyTorch, or similar frameworks.- Apply Large Language Models (LLMs) to build and optimize NLP-based services.- Preprocess large datasets, engineer features, and evaluate model performance.- Collaborate with senior engineers ...

... handled tens of millions of production voice minutes, is ISO 27001/27701 and SOC 2 Type II certified, and runs both on cloud and on-prem. We already run our own models in production: Aurora (STT tuned for BFSI), Floe (language-switch detection), end-of-utterance models, and noise cancellation, all on BM Zap, our low-latency ...

Summary :- Explore areas to apply machine learning technology, develop measures on collecting data used for model learning and evaluation and collect data.- Develop data pre-processing and feature extraction algorithms and modelling/pattern recognition algorithm by reflecting data characteristics.- Perform to optimize data ...

... prototype, test, and ship in a cloud-native environment. - Take complete ownership of the solution in all phases - analysis, proof of concept, data engineering, model development, model tuning, and model implementation. Desired Profile of the Candidate - 7+ years of experience building production ML / AI systems, with recent ...

... improvements AI / LLM Requirements Strong practical experience with AI integration is required, including: - Integration of LLM APIs - Production implementation of MCP (Model Context Protocol) - Token and context management - Agentic application workflows - Multi-agent orchestration - Tool-use patterns - Evaluation of LLM model trade-offs ...

... retrieval-augmented generation (RAG) and vector data systems.- Model Selection & Tuning: Evaluate and select cutting-edge commercial (e.g., GPT-4) and open-source models, and fine-tune models for domain-specific use cases.- LLMOps & Pipelines: Establish LLMOps standards for model versioning, evaluation, prompt management, and ...

... and discuss with the stake holders to finalize the necessary code changes and acceptance criteria. - Understanding of the Databricks Unity Catalog permissions model and how to use OBO tokens and configure Service Principals for Databricks Agents,Genie Spaces, Machine Learning and Foundation Models. - Knowledge of Databricks ...