3,146 model jobs in India.

• Hybrid

... maintainability. Monitor model performance, prediction quality, model drift, data quality, and retraining requirements. Troubleshoot production issues related to AI models, inference services, APIs, and data pipelines. Document AI models, technical designs, assumptions, experiments, and deployment procedures. Apply Responsible ...

... validation.- Build production-grade AI-ML pipelines including model training, evaluation, deployment, monitoring, and retraining workflows; implement AIOps, MLOps for models & LLMs; ensure model reproducibility and versioning.- Implement guardrails, safety frameworks, and compliance controls for AI/ML systems; ensure models meet ...

... large datasets, and developing scalable AI/ML https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities :- Build, train, and optimize Machine Learning and AI models- Work on data analysis, feature engineering, and model evaluation- Develop scalable AI/ML pipelines and workflows- Work with structured and unstructured datasets- ...

• Hybrid
• Contract

Job Description :Role & Responsibilities :ML & AI System Design and Development :- Design and implement machine learning solutions using a mix of classical ML models and LLM-based approaches.- Select appropriate techniques for each problem, balancing accuracy, performance, cost, and operational complexity.- Build and train ...

... with text and multimodal indexing.- Optimize model inference for latency, throughput, and cost efficiency.- Build CI/CD pipelines for ML workloads.- Deploy AI models using Docker, Kubernetes/AKS, and FastAPI.- Work with Azure Machine Learning for experiment tracking, model registry, training, and deployment.- Implement model ...

... Responsibilities :- Design and perform BIM Modelling for specific design discipline under the supervision / direction of BIM Coordinator / BIM Manager. Ensure models / drawings accuracy based on BIM standards and BIM project workflow criteria / checklist. Clean up and synchronize models/drawings daily to the cloud collaboration ...

... https://jobeax.com/link/ao2QBbKt4vW7ruJ1 Technical Requirements : - 4 to 9 years as an AI/ML engineer with production systems behind you.- Depth across the modern AI stack : LLMs, speech models, vector retrieval, model serving.- Strong software engineering skills.- Fluency in Python and the production ML ecosystem. (ref:hirist.tech)

• Remote
• Contract

... design, development, and delivery of cutting-edge AI features in a fast-paced, innovative environment. Build and maintain scalable, high-quality code for AI model training and optimization. Benchmark and evaluate model performance, ensuring continuous improvements. Assess and refine AI responses for clarity, accuracy, ...

• On-site
• Full-time

... 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 ...

• Remote

... engineering, operations, and customer-facing products. Platform Engineering Build scalable AI platforms supporting RAG, Agentic Workflows, MCP Integrations, Multi-model Orchestration, Model Evaluation Frameworks, Prompt Management, and AI Observability. Design AI infrastructure leveraging cloud-native technologies. Engineering ...

... problems and enhance system capabilities.3. Data Processing :- Oversee data collection, preprocessing, and feature engineering to ensure high-quality input for AI models.4. Model Training and Evaluation :- Train and fine-tune machine learning models using large datasets and rigorously evaluate model performance using appropriate ...

... 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 ...

... embedding lifecycle management, PEFT/LLM fine-tuning, Prompt Registry versioning, and LLM evaluation pipelines. Solid understanding of MLOps principles covering model training, validation, experiment tracking, model registry, serving, monitoring, and explainability. - AgentOps Implementation: Experience building and operationalizing ...

• Remote
• Hybrid
• Full-time

... 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 ...

• Remote
• Full-time
• Contract

... 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 ...

... business partners to identify problems and propose machine learning solutions - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance - Work proactively with engineering teams and product managers to evangelize new algorithms and drive the ...

• Contract

... Develop and optimize AI-driven extraction workflows using document parsing, chunking, embeddings, RAG, and LLM-based extraction methods.- Deploy and scale AI models on AWS and Azure (SageMaker, Bedrock, Azure AI Foundry) with seamless integration into data pipelines.- Build and maintain CI/CD pipelines for AI model deployment ...

... Develop and optimize AI-driven extraction workflows using document parsing, chunking, embeddings, RAG, and LLM-based extraction methods.- Deploy and scale AI models on AWS and Azure (SageMaker, Bedrock, Azure AI Foundry) with seamless integration into data pipelines.- Build and maintain CI/CD pipelines for AI model deployment ...

... Develop and optimize AI-driven extraction workflows using document parsing, chunking, embeddings, RAG, and LLM-based extraction methods.- Deploy and scale AI models on AWS and Azure (SageMaker, Bedrock, Azure AI Foundry) with seamless integration into data pipelines.- Build and maintain CI/CD pipelines for AI model deployment ...

• Hybrid

... https://jobeax.com/link/XIA7wD9gSNU9qtiD Responsibilities :- Pipeline Ownership: Design and manage complex, multi-stage RAG pipelines ensuring low latency and high relevance.- Model Optimization: Lead fine-tuning initiatives (PEFT/LoRA) for open-source models to improve domain-specific task performance.- Advanced Evaluation: Develop automated ...