... practices. Mentor AI/ML engineers and contribute to architectural decisions across the AI platform stack. 15+ years of experience in data science, ML engineering and AI system architecture. - Hands-on experience with Python, TensorFlow, PyTorch, Scikit-learn, spaCy and related AI/ML frameworks. - Expertise in MLOpstools such as ...
... Development Implement RAG pipelines, embedding, and prompt engineering techniques. Work with commercial and open-source LLMs (GPT, Claude, LLaMA, Phi). Agentic AI Development Build and deploy AI agents using LangChain, LangGraph, CrewAI, Autogen, AgentFlow. Set up end-to-end MLOps pipelines (CI/CD, monitoring, retraining). ...
... reusable, scalable patterns that accelerate development. The AI Observability Engineer will build and maintain a robust framework to ensure the reliability and maintainability of DPR Construction's complex AI systems.Responsibilities:- Standardize observability practices across AI/ML and other development teams including ...
... performance. Monitor and optimize the performance of data systems and processes. AI and ML Capabilities: Stay updated with industry trends and advancements in AI and ML and integrate these technologies into the data architecture to enhance data processing and analytics capabilities. Develop and maintain comprehensive documentation ...
... as LangGraph, LangChain, CrewAI, AutoGen, or PydanticAI.- Integrate AI solutions with REST APIs, databases, and existing enterprise applications.- Develop and maintain scalable AI services using FastAPI or similar frameworks.- Deploy and support AI/ML applications on Azure and/or Databricks.- Work with development and platform ...
PROGRAM MANAGER - Enterprise Cloud, Data, Platform & AI Programs | Impetus TechnologiesKey Skills : - 5+ years in AI/ML architecture and solution design- Primary Cloud : AWSAbout Impetus Technologies :Impetus Technologies is a digital engineering company focused on helping enterprises solve complex data, AI and cloud transformation ...
... consumer tech Tier 1 / Tier 2 college — BSc/MSc in Maths, Statistics, Economics, or https://jobeax.com/link/GEnvHPnJ23cIYVmv where 60–70%+ of experience is in GenAI, LLMs, RAG systems, or applied AI with no classical ML grounding Python used exclusively for backend/software engineering — not data science Step 3: Increase your ...
... scikit-learn (academic projects, research work, and personal projects all count). - Eagerness to learn production-grade development practices and grow into operating AI/ML solutions end-to-end. - Hands-on experience - through internships, research, or projects - with ontology design, semantic modeling, or knowledge graphs. - Any ...
... techniques such as regression, tree-based models, gradient boosting, ensemble modelling, clustering, ranking, and deep learning where appropriate. - Develop end-to-end ML pipelines covering data preparation, training, validation, deployment, scoring, and monitoring. - Conduct model backtesting, benchmarking, hyperparameter optimisation, ...
... Azure OpenAI, Azure ML, Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet. Within AI Platform, the AI Foundry team enables data scientists and developers to quickly and easily build, train, deploy, manage, and consume machine learning model. Our AI Foundry OSS ...
... data-intensive systems. - Startup experience - specifically in building product from 0-1 Exposure to AI/ML-powered systems, data engineering, or large-scale data processing. Experience in healthcare or fintech domains. Familiarity with modern DevOps practices, CI/CD pipelines, and containerization (Docker/Kubernetes).
... Candidate's Age should be below 30 Years.11. Preferred Experience 1 : - Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.12. Preferred Experience 2 : - Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, ...
... SageMaker, S3, RDS, DocumentDB)- Containerization and orchestration tools including Docker and Kubernetes.- CI/CD pipelines for automated testing of non-deterministic AI outputs.- Observability and logging pipelines for tracking agent token usage, latency, and failure states.- Responsible AI frameworks, data privacy compliance, ...
... SageMaker, S3, RDS, DocumentDB)- Containerization and orchestration tools including Docker and Kubernetes.- CI/CD pipelines for automated testing of non-deterministic AI outputs.- Observability and logging pipelines for tracking agent token usage, latency, and failure states.- Responsible AI frameworks, data privacy compliance, ...
... SageMaker, S3, RDS, DocumentDB)- Containerization and orchestration tools including Docker and Kubernetes.- CI/CD pipelines for automated testing of non-deterministic AI outputs.- Observability and logging pipelines for tracking agent token usage, latency, and failure states.- Responsible AI frameworks, data privacy compliance, ...
... SageMaker, S3, RDS, DocumentDB)- Containerization and orchestration tools including Docker and Kubernetes.- CI/CD pipelines for automated testing of non-deterministic AI outputs.- Observability and logging pipelines for tracking agent token usage, latency, and failure states.- Responsible AI frameworks, data privacy compliance, ...
... SageMaker, S3, RDS, DocumentDB)- Containerization and orchestration tools including Docker and Kubernetes.- CI/CD pipelines for automated testing of non-deterministic AI outputs.- Observability and logging pipelines for tracking agent token usage, latency, and failure states.- Responsible AI frameworks, data privacy compliance, ...
... comes to the desired authentication experience for their end users. We are constantly building cutting-edge authentication mechanisms designed to make access seamless, specifically tailored for the fast-paced, user-centric world of consumer identity and security-centric world of workforce identity. If you are driven to innovate, ...
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology ...