330 Azure Ml Jobs

Role Overview: As a Data Science/Machine Learning Instructor at the organization, your primary responsibility will be conducting live instructions to educate working professionals on core topics related to Data Science and Machine Learning. This will involve covering topics such as supervised and unsupervised learning, deep learning, model evaluation, and MLOps through engaging and interactive sessions. Collaboration with content teams to develop labs, code walkthroughs, and real-world case studies using Python, scikit-learn, TensorFlow/PyTorch, and cloud-based Data Science/Machine Learning services will also be part of your role. Key Responsibilities: - Conduct live instructions on topics r...

As a data analyst at PwC, your primary focus will involve leveraging advanced analytical methods to extract insights from extensive datasets and steer data-driven decision-making processes. Your responsibilities will entail utilizing skills in data manipulation, visualization, and statistical modeling to assist clients in addressing intricate business challenges. - Effectively respond to varying perspectives, needs, and emotions of others. - Employ a wide array of tools, methodologies, and techniques to generate innovative ideas and resolve complex problems. - Apply critical thinking to deconstruct intricate concepts. - Grasp the broader objectives of your projects or roles and understand ho...

About The Role Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client que...

Presales Solution Architect - Azure Data & AI Location : Bengaluru, India The role Are you passionate about designing intelligent, data-driven solutions that help businesses make smarter decisions? Do you thrive on solving complex challenges using cutting-edge cloud and AI technologies? We are seeking a highly skilled and experienced Presales Solution Architect Data & AI for Microsoft Azure to join our team and play a crucial role in designing and implementing data analytics and AI solutions on the Azure platform. The ideal candidate will have a deep understanding of Azure data services, AI technologies, and a track record of architecting scalable and efficient solutions to address complex b...

Overview The Data Scientist designs, develops, and deploys predictive models and advanced analytics solutions to drive business insights and operational improvements. This role collaborates closely with data engineers, architects, and business stakeholders to translate requirements into actionable models and supports integration of AI/ML into BI platforms. Responsibilities Model Development & Delivery Build and iterate models for churn prediction, network performance, and other business-critical use cases. Conduct feature engineering, model training, validation, and deployment. Collaboration & Integration Work with data engineers and architects to ensure data readiness and seamless model int...

You will be responsible for developing and implementing machine learning models for structured and unstructured data. Your duties will include performing data preprocessing, feature engineering, and exploratory data analysis using Pandas and NumPy. Additionally, you will design and maintain end-to-end ML pipelines for training, validation, deployment, and monitoring. You will apply and fine-tune ML algorithms using Scikit-learn, TensorFlow, and PyTorch. Utilizing PySpark for large-scale data processing and distributed ML workloads will also be part of your role. Moreover, you will implement and manage model deployment using AWS SageMaker, Azure ML, or GCP Vertex AI. Keeping track of experime...

As a Senior Data Scientist you will help build the next generation of AI/ML-enabled solutions that underpin our strategic vision of digitalizing industrial projects and operational risk. You will apply your expertise in machine learning, cloud platforms (especially Snowflake and Azure), agile delivery (using Azure DevOps), and software development practices, to deliver scalable, robust, production-ready systems across the globe. You will play a pivotal role in positioning our team as the central AI Hub for the P&A division consulting and co-planning with platform teams, defining MLOps and governance standards, and guiding complex AI/ML projects from ideation to production. Key Responsibiliti...

Director Data Sciences Role Name: Director Agentic AI Department Name: AI & Data Science Role Description: We are seeking a Director of Data Science - Amgens most senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI platforms. Sitting at the intersection of engineering excellence and data-science enablement, you will design the core services, infrastructure and governance controls that allow hundreds of practitioners to prototype, deploy and monitor modelsclassical ML, deep learning and LLMssecurely and cost-effectively. Acting as a player-coach, you will establish platform strategy, define technical standards, and partner with DevOps,...

Project description The project involves building, deploying, and maintaining scalable Azure Cloud infrastructure and CI/CD pipelines to support cloud-native applications. The engineer will automate provisioning, manage application services, and ensure performance, security, and compliance across environments. Responsibilities Deploy and manage Azure infrastructure and services ensuring reliable and streamlined deployments. Implement CI/CD workflows using Azure DevOps, GitLab, and Ansible. Automate infrastructure provisioning using Infrastructure as Code (IaC) tools like Terraform. Configure and manage Azure App Services, Azure Functions, and AKS clusters for scalability and availability. Mo...

As an ML/Ops Engineer at our company, your role will involve analyzing, designing, developing, and managing data pipelines to release scalable Data Science models. You will be responsible for deploying, monitoring, and operating production-grade AI systems in a scalable, automated, and repeatable manner. **Key Responsibilities:** - Create and maintain scalable code for delivering AI/ML processes. - Design and implement pipelines for building and deploying ML models. - Design dashboards for system monitoring. - Collect metrics and set up alerts based on them. - Design and execute performance tests. - Perform feasibility studies/analysis with a critical perspective. - Support and troubleshoot ...

You will be joining a dynamic team in New Delhi as a member of the AI Application Development Team, working on a cutting-edge cloud-based platform. This platform combines generative AI, real-time collaboration, and creative tools, similar to Discord.ai and Leonardo.ai. Your role will involve developing real-time AI interactions, image/audio generation, and multi-user workflows to create a next-gen AI application. **Key Responsibilities:** - Develop real-time AI interactions, image/audio generation, and multi-user workflows. - Utilize expertise in image generation using deep learning and generative models like PyTorch and TensorFlow. - Work with technologies such as diffusion models, GANs, VA...

As a Senior Boomi AI Solutions professional at RSM, you will have the opportunity to design and deliver AI-powered business solutions on the Boomi platform. Your role will involve collaborating with client teams to gather requirements, lead solution design and development, and work with global delivery teams to ensure effective deployment and maintenance of solutions. You will also be responsible for researching emerging AI/ML technologies, developing solution accelerators, and contributing to team knowledge sharing. **Key Responsibilities:** - Work directly with client business and technical teams to gather requirements and translate them into AI-enabled solutions. - Lead the design and dev...

Role Overview: You are a skilled Data Scientist with expertise in machine learning, statistical modeling, and business-focused analytics. Your role involves building predictive models, time-series forecasting, and optimization solutions using Python, SQL, and Azure ML or Databricks. Strong communication skills are essential to translate complex data into clear business insights. Key Responsibilities: - Analyze large, complex datasets to uncover actionable insights for driving business impact. - Design and implement predictive models, especially in areas like customer penetration optimization and regional performance forecasting. - Apply machine learning techniques (supervised and unsupervise...

Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : Microsoft Azure DevOps Good to have skills : Kubernetes Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Infrastructure DevOps Engineer, you will be responsible for designing, implementing, and maintaining secure, scalable, and automated cloud infrastructure. You will play a critical role in enabling continuous in...

Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : Microsoft Azure DevOps Good to have skills : Kubernetes Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Infrastructure DevOps Engineer, you will be responsible for designing, implementing, and maintaining secure, scalable, and automated cloud infrastructure. You will play a critical role in enabling continuous ...

Role Description We are looking for an experienced QA Lead to drive the quality engineering strategy for an AI-powered solution where machine learning, computer vision, and NLP models play a central role. The QA Lead will validate the validation of AI model outputs, ensure the accuracy and reliability of predictions, build automation frameworks for AI pipelines, and lead a team of QA engineers across API, UI, data, and performance testing. This role requires strong analytical skills, understanding of AI/ML concepts, and the ability to validate both deterministic and non-deterministic system behaviors. Role and responsibilities Define and execute AI testing strategies including model accuracy...

As a Senior Python Developer with expertise in AI/ML frameworks, data engineering, and scalable application development, your role will involve working on high-velocity AI/ML projects. These projects range from predictive analytics and recommendation engines to generative AI platforms, where fast delivery and iteration are key. **Key Responsibilities:** - **Design & Develop:** Build robust Python-based applications for AI/ML, data processing, and automation. - **Model Integration:** Implement, fine-tune, and deploy ML/DL models using TensorFlow, PyTorch, Scikit-learn, Hugging Face. - **Data Engineering:** Work with structured/unstructured datasets, build pipelines (ETL, real-time streaming),...

Role Overview: You will be the Artificial Intelligence - Centre of Excellence Lead at a leading global IT services and technology distribution company in Chennai. As the AI Lead, your primary responsibility will be to drive the enterprise-wide adoption and strategic deployment of Artificial Intelligence, focusing on Generative AI and scalable LLMOps. This crucial leadership role involves translating complex business challenges into high-impact AI/ML solutions, building an AI innovation pipeline, leading a technical team, and defining the architecture for secure and efficient AI systems that facilitate significant business transformation. Key Responsibilities: - Establish and own the Generati...

Role: Senior AI developer Experience: 4+years Location: Pune, Mumbai, Bangalore Hybrid Mode Note: Immediate joiner / Serving Notice are preferred Role & responsibilities Design development and deployment of AI solutions using python and he need to have experience using docker, azure ML workflows Databricks, CI/CD pipelines Skilled and innovative AI Developer to design, develop, and deploy AI and machine learning solutions that solve real-world business problems. The ideal candidate will work

Development Lead (Full Stack experience) Work across investment technology stacks, engage directly with global stakeholders across investment, operations, products and wider technology teams and help drive technology solutions that support portfolio management and trading Drive full stack application development using modern technologies across cloud-native and hybrid architectures Own the production environment operations and applications Required 7- 10 years of software engineering experience with at least 3 years in a lead role Proven ability to led teams and drive cross-functional delivery in a matrix environment Strong command of full stack development: Javascript (React/Angular), Node....

AI Architect Overview: The Generative AI Architect will lead the design, development, and deployment of enterprise-grade generative AI solutions leveraging LLMs, diffusion models, and multimodal architectures. This role combines deep technical expertise with solution architecture, governance, and strategic advisory skills to enable responsible and scalable adoption of GenAI across business domains. You will work cross-functionally with data scientists, software engineers, risk and compliance teams, and business stakeholders to define reference architectures, integrate with existing systems, and ensure secure, ethical, and compliant AI adoption. Responsibilities: Architecture & Solution Desig...

Your key responsibilities Develop and deploy machine learning models on Azure cloud platform using Python programming language and Azure ML services. Design and implement scalable and efficient data pipelines for model training and inference. Collaborate with data scientists and business stakeholders to understand requirements and translate them into technical solutions. Implement best practices for ML development, including version control, testing, and documentation. Develop and maintain APIs on Azure cloud platform for model deployment and integration with applications. Monitor and optimize model performance, ensuring scalability, reliability, and security. Participate in code reviews, tr...

Your key responsibilities Collaborate with EY Supply chain & Operations stake holders and data engineering teams to enable high-quality data curation for model training and evaluation. Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve ...

Your key responsibilities Collaborate with EY Supply chain & Operations stake holders and data engineering teams to enable high-quality data curation for model training and evaluation. Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve ...

About The Role We are seeking a Director level executive for Lead AI Architect with proven expertise in Large Language Models (LLMs), Agentic AI, LangChain, LangGraph, embeddings, vector databases, and semantic search. The role demands cloud expertise (Azure or GCP), application architecture knowledge, and experience in designing and delivering enterprise-grade AI applications using LLMs and agentic workflows. The ideal candidate blends technical excellence with a product mindset, capable of applying design patterns in LangChain and LangGraph, as well as integration architecture patterns, to deliver scalable, reusable, and business-aligned AI solutions. Key Responsibilities Overall experienc...