330 Azure Ml Jobs - Page 5

Role Overview: You are joining as a Technical Interview Panel Expert in the AI/ML engineering field. Your main responsibility will be evaluating candidates" technical proficiency in machine learning, deep learning, and data science principles. You will play a crucial role in conducting high-quality technical interviews for AI and ML engineering positions. Key Responsibilities: - Conduct technical interviews to assess candidates" ML model-building, deployment, and optimization skills. - Evaluate candidates" capabilities in data preprocessing, feature engineering, and algorithm selection. - Review coding exercises, model evaluation methods, and real-world ML project experience. - Collaborate w...

As the Manager AI/ML Engineering at Coschool, you will play a crucial role in revolutionizing learning with AI by leading and scaling our AI initiatives to shape the future of intelligent learning systems. Here's what you can expect in this role: **Role Overview:** Join Coschool in building a next-gen EdTech platform that empowers educators and students to achieve their best through AI-driven solutions. **Key Responsibilities:** - Lead and mentor a high-performing team of AI/ML engineers. - Research, prototype, and develop robust ML models, including deep learning and GenAI solutions. - Oversee the full AI/ML project lifecycle from data preprocessing to deployment and monitoring. - Guide the...

Role Overview: As a Lead Data Scientist specializing in Text Analytics & GenAI, you will be responsible for designing and implementing cutting-edge solutions to convert unstructured textual data into actionable insights. Collaborating with different teams and clients, you will be applying NLP, NLU, and Generative AI techniques to address a variety of real-world challenges. Key Responsibilities: - Collaborate with business and technical stakeholders to create data-driven solutions using text and language data. - Develop NLP/NLG/NLU models for semantic understanding, entity recognition, and text summarization. - Experiment with and optimize pre-trained LLMs and embedding models like GPT, Llama...

As a Machine Learning Engineer at our company, you will play a crucial role in designing, building, and deploying scalable ML models and end-to-end AI solutions. You will have the opportunity to work on cutting-edge AI/ML and LLM-based projects in a collaborative and growth-driven environment. Here's a breakdown of what your responsibilities will entail: - Develop and implement machine learning models for structured and unstructured data. - Perform data preprocessing, feature engineering, and exploratory data analysis using Pandas and NumPy. - Design and maintain end-to-end ML pipelines for training, validation, deployment, and monitoring. - Apply and fine-tune ML algorithms using Scikit-lea...

Job Overview: We are seeking a Data Scientist to build, deploy, and optimize machine learning and AI models for predictive and generative applications The role involves handling data preprocessing, model training, fine-tuning, and collaborating with GenAI developers to integrate models into production systems The ideal candidate will work with cloud ML platforms and leverage modern ML/AI frameworks to deliver scalable, high-performance solutions Key Responsibilities: Build and deploy ML/AI models for predictive and generative tasks Perform data preprocessing, feature engineering, model training, and fine-tuning Collaborate with GenAI developers and engineering teams to integrate models into ...

Job Purpose Will be a technical IC who is expert in application development and support using Python, NLP, AI ,Langchain, Langgraph, MCP, Kubernetes, DevOps, Azure open AI frameworks Duties and Responsibilities Design and develop intelligent AI Based application using advanced NLP and LLM techniques to solve real-world business challenges in financial services. Build and optimize Retrieval-Augmented Generation (RAG) pipelines leveraging structured and unstructured financial data. Integrate and orchestrate LLMs/SLMs for question-answering, summarization, semantic search, and document understanding. Develop and maintain RESTful APIs (sync and async) to serve NLP models and chatbot interfaces u...

Key Responsibilities Design and develop applications that integrate both front-end and back-end technologies using various programming languages and development tools to meet business needs. Ensure software development aligns with established standards and guidelines. Design and implement high-quality, scalable, maintainable, and secure APIs that deliver business value. Design the future state of our system by combining a strategic understanding of highest-level product goals with a deep knowledge of the landscape to inform the right technical and product trade-offs for both short and long term Collaborate with internal teams across Technology Solutions Engineering, Platform, Order Handling,...

In this role at PwC, you will be responsible for leveraging advanced technologies and techniques to design and develop robust data solutions for clients. You will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Specifically, in data engineering at PwC, your focus will be on designing and building data infrastructure and systems to enable efficient data processing and analysis. Your responsibilities will include developing and implementing data pipelines, data integration, and data transformation solutions. Key Responsibilities: - Define, implement, and manage AI-specific QA standards and methodologies. - Le...

As a highly skilled Software Engineer specializing in Large Language Models (LLMs), your role will involve designing, developing, and deploying cutting-edge AI solutions using state-of-the-art transformer architectures. You will collaborate with data scientists, ML engineers, and product teams to build intelligent applications powered by advanced generative AI models such as GPT, LLaMA, Falcon, Mistral, Claude, or similar open-source and proprietary models. Key Responsibilities: - Design, train, fine-tune, and evaluate Large Language Models (LLMs) for specific use cases such as summarization, code generation, chatbots, reasoning, and retrieval-augmented generation. - Experiment with transfor...

As a Senior Software Engineer (Machine Learning) at our company, you will be responsible for designing, building, and deploying scalable ML-based systems and services. Your role will involve working across the entire ML lifecycle, from data ingestion and feature engineering to model development, optimization, and deployment, with a focus on delivering high-quality, production-grade solutions. **Key Responsibilities:** - **Machine Learning Development:** - Design and implement machine learning models and algorithms for predictive analytics, classification, clustering, or recommendation systems. - Optimize models for accuracy, performance, and scalability in production environments. - Develop ...

As an Automation-Tools/Platform-Automated Artificial Intelligence Tools Specialist at NTT DATA in Bangalore, Karnataka, India, you will play a crucial role in leveraging machine learning models to predict asset health, process anomalies, and optimize operations. Your responsibilities will include working on sensor data pre-processing, model training, and inference deployment, as well as collaborating with simulation engineers for closed-loop systems. Key Responsibilities: - Build machine learning models to predict asset health, process anomalies, and optimize operations. - Work on sensor data pre-processing, model training, and inference deployment. - Collaborate with simulation engineers fo...

As a Data Scientist with 4 to 8 years of experience in Noida, your main responsibilities will include: - Designing and implementing AI-enabled solutions. - Working closely with the client to understand business needs and translate them into a technical solution. - Defining the success metrics. - Deploying and monitoring the solution. In order to excel in this role, you should possess the following qualifications: - 4-8 years experience in Data Science, focused on generative AI, agentic AI, LLMs, and NLP - Hands-on experience with RAG pipelines, knowledge graphs, and prompt engineering - Proficiency in Azure AI tools such as Azure OpenAI, Cognitive Services, and Azure ML - Familiarity with La...

An IT outsourcing company in India providing custom software, web & mobile

Project description We are looking for a hands-on Data Scientist to lead the development of machine learning models and data-driven insights for Digital Oilfield (DOF) systems. This role requires a strong foundation in data science and statistical modeling, with the ability to transform noisy, real-world oilfield data into actionable intelligence for engineering teams. Candidate will work alongside production engineers, software developers, and ML engineers to design, validate, and operationalize predictive and prescriptive analytics that support key decisions in subsurface and surface operations. Oil & gas experience is a strong asset but not mandatory; the ideal candidate brings analytical...

Project description We are hiring an ML Ops Engineer to operationalize machine learning solutions across Digital Oilfield (DOF) platforms. This is a critical role ensuring that models move from development to robust, production-grade deployment with high availability, traceability, and security. The ideal candidate will be responsible for automating pipelines, managing model versions, integrating APIs, and monitoring ML system health across diverse operational environments. Oil & gas exposure is beneficial but not required; this is a technical engineering role with high ownership and cross-team collaboration. Responsibilities Develop and maintain ML pipelines for data preprocessing, training...

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education SUMMARY:We are looking for a technical enthusiast with strong expertise in Python and a solid understanding of AI/ML concepts to contribute to the de...

About The Role Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Large Language Models Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education SUMMARY:We are seeking a Senior Technical – Gen AI Lead with deep expertise in Python, AI/ML concepts, and data engineering to spearhead the design and development of Data Agents powered by Agentic AI. As a senior technical leader, you will drive solution architecture, g...

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education SUMMARY:We are looking for a technical enthusiast with strong expertise in Python and a solid understanding of AI/ML concepts to contribute to the de...

Overview We are seeking a Manager Boomi AI Solutions to help drive the development of AI-powered business solutions using the Boomi platform. This is a technical leadership role focused on applying AI/ML to real-world business challenges, integrating Boomis emerging AI capabilities into scalable, practical solutions. The Team You will work with colleagues in India and the US on client engagements across multiple industries, combining expertise in integration, data migration, automation, and AI to build solutions that streamline processes, enhance decision-making, and create new business opportunities. We are a fast-growing practice with a strong pipeline of projects leveraging emerging techn...

Overview We are seeking a Supervisor Boomi AI Solutions to support the design and development of AI-powered business solutions using the Boomi platform. This role focuses on applying AI/ML to real-world business challenges and delivering scalable, practical solutions using Boomis emerging AI capabilities. The Team You will work with colleagues in India and the US on client engagements across multiple industries, combining expertise in integration, automation, and AI to build solutions that streamline processes, enhance decision-making, and create new business opportunities. Our practice is rapidly growing, with a strong pipeline of projects leveraging emerging technologies like Boomi AI. We ...

About the Role: The QA Engineer will own quality assurance across the ML lifecyclefrom raw data validation through feature engineering checks, model training/evaluation verification, batch prediction/optimization validation, and end-to-end (E2E) workflow testing. The role is hands-on with Python automation, data profiling, and pipeline test harnesses in Azure ML and Azure DevOps. Success means provably correct data, models, and outputs at production scale and cadence. Key Responsibilities: Test Strategy & Governance Define an ML-specific Test Strategy covering data quality KPIs, feature consistency checks, model acceptance gates (metrics + guardrails), and E2E run acceptance (timeliness, com...

AI & Machine Learning Trainer Join us to inspire future AI innovators on Azure ML, TensorFlow, PyTorch, LLMs & Model Evaluation. Turn complex concepts into real-world learning. Apply Here: https://qubiqon.talentzq.io/JobView/QB-AI-TR-002

You will be working as an Azure Development Consultant/Senior Consultant/Specialist at Hitachi Solutions India Pvt Ltd. Here is a summary of your role, key responsibilities, and qualifications required: Role Overview: As an Azure Development Consultant/Specialist, you will be responsible for implementing highly scalable solutions and translating business requirements into viable technical designs. You will work on Microsoft Azure Stack IoT Hub, Event Hub, Azure Functions, Azure Logic Apps, Azure Data Factory, Cosmos DB, Azure Data bricks, and more. Your role will involve configuring and monitoring different attributes, handling scale-up and scale-down scenarios, and implementing Azure securi...

**Job Description** You will be working as an Azure Development Consultant/Senior Consultant/Specialist with 3 to 8 years of experience. Your primary skills should include: - Working experience in Microsoft Azure Stack IoT Hub, Event Hub, Azure Functions, Azure Logic Apps, Azure Data Factory, Cosmos DB, Azure Data bricks, Azure ML, IoT Edge, Docker, python - Good knowledge of using Serverless Functions (Using Java/Python), App services, Azure Kubernetes services etc. - Experience in configuring & monitoring different attributes and handling scale up and scale down scenarios for the Network Service Components on Azure - Any experience in implementation of Azure security, authentication and si...

Role Overview: As the AI/ML Practice Lead, your primary responsibility will be to set up the Center of Excellence (CoE) and business practice for Enterprise AI solutions. You will be instrumental in establishing Data Science & Analytics as a Service (DaaS) within the organization. Your role will involve building a practice with capabilities to create solution blueprints, orchestrate data acquisition and engineering, and develop AI/ML models to solve analytical problems. Staying up-to-date with industry trends and fostering collaboration and engagement will also be key aspects of your role. Additionally, you will drive discussions with internal and external stakeholders to evaluate and design...