330 Azure Ml Jobs - Page 9

As an Associate Project Manager specializing in AI/ML, you will leverage your 8+ years of experience, including 3+ years in project management, to lead and oversee the successful delivery of AI/ML projects. You will play a pivotal role in managing cross-functional teams, steering complex software projects, and spearheading AI/ML initiatives from inception to deployment. Your expertise will encompass a blend of project management proficiency and technical knowledge in machine learning systems, data pipelines, and model lifecycle management. - Project planning, tracking, and execution using methodologies such as Agile, Scrum, and SDLC/Waterfall. - Juggling multiple projects and stakeholders ac...

In this role at PwC, you will be responsible for utilizing advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making. Your primary focus will be on data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. **Key Responsibilities:** - Develop and execute project & analysis plans under the guidance of the Project Manager - Interact with and advise consultants/clients in the US as a subject matter expert to formalize data sources, datasets, and data clarifications needed for data and business problem understanding - Drive and Conduct analysis using advanced analytics tools and mentor junio...

As an MLOps Engineer, your role will involve designing, implementing, and maintaining scalable machine learning pipelines and infrastructure. You should have a strong understanding of ML lifecycle management, CI/CD for ML models, and cloud platforms to ensure seamless integration between data science and production environments. Key Responsibilities: - Build, deploy, and manage end-to-end ML pipelines from experimentation to production. - Develop and maintain CI/CD workflows for ML models. - Automate training, testing, monitoring, and retraining processes. - Manage model versioning, deployment, and scaling in production environments. - Ensure observability, logging, and monitoring for ML mod...

Role Overview: As a Senior AI Engineer at Rockwell Automation, you will play a crucial role in contributing to the design, development, and deployment of enterprise-grade artificial intelligence solutions. Your work will be focused on driving innovation and delivering measurable business value by collaborating with cross-functional teams including data scientists, software engineers, and partners. You will be responsible for building scalable, secure, and ethically responsible AI systems, ensuring they integrate with existing IT and data infrastructure. Key Responsibilities: - Develop AI Solutions: Build and implement AI models and pipelines that ensure performance, scalability, and maintain...

Role Overview: As a skilled Data Scientist at our company, your main responsibility will be to utilize your expertise in machine learning, statistical modeling, and business-focused analytics to contribute to the growth of our data science team. You will be expected to build predictive models, conduct time-series forecasting, and develop optimization solutions using tools such as Python, SQL, and Azure ML or Databricks. Additionally, your strong communication skills will play a vital role in translating complex data into clear business insights for the success of the team. Key Responsibilities: - Analyze large, complex datasets to uncover actionable insights driving business impact. - Design...

We are seeking an Applied Scientist specializing in Generative AI to drive applied research and enterprise deployment of GenAI solutions.

As an Applied Scientist at CDK Global, you will be part of the Applied AI Engineering team working on cutting-edge AI innovations to transform the automotive retail experience. Your role will involve designing, building, and deploying ML models for recommendation systems, service forecasting, classification problems, and Gen AI-powered applications. You will collaborate with cross-functional teams to drive real-world business outcomes using advanced AI/ML and data science techniques. Key Responsibilities: - Design, build, and deploy ML models for various use-cases including recommendation engines, forecasting, classification systems, and generative AI applications - Own the full lifecycle of...

Role Overview: You will be responsible for developing applications using various Microsoft and web development technologies such as ASP.Net, C#, MVC, Web Forms, Angular, SQL Server, T-SQL, and Microservices. Your expertise in big data technologies like Hadoop, Spark, Hive, Python, Databricks, etc. will be crucial for this role. Key Responsibilities: - Develop applications using ASP.Net, C#, MVC, Web Forms, Angular, SQL Server, T-SQL, and Microservices - Utilize big data technologies such as Hadoop, Spark, Hive, Python, Databricks - Work on on-prem to cloud migration, particularly in Azure - Hands-on experience with Azure PaaS offerings like Synapse, ADLS, DataBricks, Event Hubs, CosmosDB, Az...

Role Overview: As a Senior Product Manager, you will play a pivotal role in defining the strategic direction of the product offerings. You will collaborate with cross-functional teams and ensure the successful execution of the product vision. With 8-10 years of experience in the Product domain developing AI-based enterprise solutions, you will leverage AI/ML technologies to enhance product capabilities and deliver innovative solutions in a fast-paced and dynamic environment. Key Responsibilities: - Lead the development and execution of AI/ML products from concept to launch. - Define the product roadmap, strategy, and vision based on market trends, customer needs, and business goals. - Collab...

Role Overview: You should have a solid understanding and working experience with the Azure cloud platform fundamentals, including Azure ML, Functions, Blob Storage, ML Studio, AI Foundry, Azure Pipelines, AKS, and Functions. Experience in Python environment setup, dependency management (e.g., pip, conda), and API integrations (API Keys, OAuth) is required. Exposure to NLP, machine learning, or data science projects is preferred. Awareness of prompt engineering principles and how LLMs (like GPT, Claude, or LLaMA) are used in real-world applications is a plus. Understanding of transformer architecture and how it powers modern NLP, as well as exposure to AI Code Assist tools, is beneficial for ...

As a software engineer at PwC, you will play a crucial role in developing innovative software solutions to drive digital transformation and enhance business performance. Your responsibilities will include designing, coding, and testing cutting-edge applications that revolutionize industries and deliver exceptional user experiences. Key Responsibilities: - Lead in alignment with our values and brand. - Develop new ideas, solutions, and structures; drive thought leadership. - Solve problems creatively and encourage others to do the same. - Balance long-term and short-term perspectives, detail-oriented and big picture thinking. - Make strategic choices and drive change by addressing system-leve...

Role Overview: At Kovai.co, we are looking for a Data Scientist who can contribute to our mission of revolutionizing enterprise software and B2B SaaS solutions. As a Data Scientist, you will play a crucial role in understanding business problems, analyzing large datasets, developing advanced statistical and machine learning models, and driving innovative solutions to improve business performance. Key Responsibilities: - Understand business problems and formulate hypotheses to address them effectively - Collect and interpret data, analyze results, identify patterns, and trends in large datasets - Research and develop advanced statistical and machine learning models for analyzing large-scale, ...

Role Overview: You are a Senior Data Scientist responsible for owning end-to-end problem-solving, starting from business discovery and hypothesis design to model deployment and post-production monitoring. Your role involves partnering with product, engineering, and client stakeholders to develop production-grade ML/AI and GenAI solutions on AWS/Azure/GCP. Additionally, you will be mentoring a small team of data scientists and ML engineers. Key Responsibilities: - Engage with client stakeholders to translate objectives into measurable DS/ML use cases, define success metrics, and create experiment plans. - Own data acquisition, quality checks, EDA, and feature pipelines across SQL/Spark/Databr...

As an AI/ML Architect at our company, you will be responsible for designing and implementing end-to-end AI architectures across various machine learning domains such as computer vision, NLP, recommendation systems, and predictive modeling. Your role will involve guiding the implementation of AI solutions to align with business objectives and ensuring scalability, security, and performance. Key Responsibilities: - Define and oversee the overall AI/ML architecture for projects, ensuring scalability, security, and performance. - Design, prototype, and supervise the development of AI/ML models in areas such as vision, NLP, forecasting, and generative AI. - Collaborate with engineering teams to i...

Role Overview: You will be responsible for designing, developing, and maintaining complex, high-performance, and scalable MLOps systems that interact with AI models and systems. Additionally, you will collaborate with cross-functional teams to understand requirements, define project scope, and ensure alignment with business goals. Your role will involve offering technical leadership and expertise in choosing, evaluating, and implementing software technologies in a cloud-native (Azure + AML) environment. Troubleshooting and resolving intricate software problems, participating in project planning and estimation, contributing to CI/CD pipelines, data pipelines, and storage systems, as well as d...

Job Title: AI/ML Engineer Experience: 4 To 8 Years Location: Bangalore Key Responsibilities Design, build, and optimize AI/ML solutions for enterprise applications. Develop Generative AI applications with workflows such as RAG Build and deploy AI agents using frameworks like LangGraph, Crew, or PydanticAI . Implement LLM integration and optimize Prompt Engineering workflows (Eg ., GPT, Claude, LLaMA). Collaborate with cross-functional teams to integrate AI solutions into production systems. Utilize Databricks, REST APIs, WebSockets, and event-driven architectures for scalable deployments. Ensure adherence to SDLC best practices, CI/CD pipelines (Jenkins), and Git-based workflows. Leverage AI...

Strong background in GPU architecture (NVIDIA, AMD) and HPC systems. Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Keras, MXNet, Hugging Face).Experience with distributed training and orchestration frameworks (KubeFlow, MLflow, Ray, Horovod). Required Candidate profile Knowledge of parallel computing, MPI, CUDA, ROCm, and GPU drivers.Familiarity with storage technologies for HPC/AI (NVMe, Lustre, GPFS, Ceph, Object Storage).

As an MLOps Engineer, you will play a crucial role in designing, building, and maintaining end-to-end MLOps pipelines for ML model training, testing, and deployment. Your responsibilities will include collaborating with Data Scientists to productionize ML models in Azure ML and Azure Databricks. Additionally, you will implement CI/CD pipelines for ML workflows using Azure DevOps, GitHub Actions, or Jenkins and automate infrastructure provisioning using IaC tools such as Terraform, ARM templates, or Bicep. Monitoring and managing deployed models using Azure Monitor, Application Insights, and MLflow will also be part of your daily tasks. Implementing best practices in model versioning, model r...

Hands-on experience with AI/ML platforms (Azure ML, AWS SageMaker, GCP Vertex AI), MLOps, and data engineering,experience in technical project management, experience in AI/ML project delivery

Role Overview: You will be joining as a Senior AI Architect in the Office of the CTO, where you will play a crucial role in designing, developing, and deploying AI and Machine Learning solutions using Python. Your primary focus will be to collaborate with enterprise customers to address critical business challenges by leveraging Azure's advanced AI capabilities. Key Responsibilities: - Lead hands-on design and development efforts using Python to create robust, scalable AI/ML solutions - Work closely with enterprise customers to strategize and implement AI-driven solutions leveraging Azure AI services - Translate complex requirements into practical technical solutions - Develop end-to-end pro...

You will be working on building a multi-tenant AI-governance platform on Microsoft Azure. Your responsibilities will include designing and implementing secure, scalable services, integrating Azure ML Responsible AI tooling and Microsoft Purview, and enforcing policy guardrails with Azure Policy. Key Responsibilities: - Design and build multi-tenant back-end services on Azure (App Service/AKS/Functions) behind Azure API Management. Implement tenant isolation, rate limits, and API versioning. - Integrate Azure ML (model registry/endpoints) and Responsible AI Dashboard/Toolbox to generate fairness, error, and explainability reports. - Implement Azure AI Content Safety checks in the prompt/respo...

You will be responsible for designing and implementing a multi-tenant AI-governance platform on Microsoft Azure. Your role will involve building secure and scalable services, integrating Azure ML Responsible AI tooling and Microsoft Purview, and enforcing policy guardrails with Azure Policy. Your responsibilities will include designing and building multi-tenant back-end services on Azure behind Azure API Management, implementing tenant isolation, rate limits, and API versioning. You will integrate Azure ML and Responsible AI Dashboard/Toolbox to generate fairness, error, and explainability reports. Additionally, you will implement Azure AI Content Safety checks in the prompt/response path an...

As a Manager AI/ML Engineering at Coschool located in Nanakramguda, Hyderabad, you will have the opportunity to join a team dedicated to revolutionizing learning through AI technology. Coschool is committed to creating a next-generation EdTech platform that empowers educators and students to achieve their best through intelligent learning systems. Your role will involve leading and mentoring a high-performing team of AI/ML engineers, researching, prototyping, and developing robust ML models, overseeing the full AI/ML project lifecycle from data preprocessing to deployment and monitoring, and guiding the team in training, fine-tuning, and deploying LLMs using various methodologies. To excel i...

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We are looking for Manager Level Architects with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a...

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As an AI Automation Architect for Customer Business Process Manager, you will be responsible for working on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. This role offers a fantastic opportunity to be part of a leading firm and instrumental in...