330 Azure Ml Jobs - Page 3

Role Overview: 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. Key Responsibilities: - Collaborate with EY Supply chain & Operations stakeholders 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...

**Job Description:** At EY, you will be joining as an Azure ML and Python Developer in the Consulting digital engineering team. You will play a crucial role in designing and implementing data pre-processing, feature engineering, and model training pipelines, collaborating closely with data scientists, and ensuring model performance and reliability in production environments. To excel in this role, proficiency in Azure ML services, Python programming, and a strong background in machine learning are essential. **Key Responsibilities:** - Develop and deploy machine learning models on Azure cloud platform using Python programming language and Azure ML services. - Design and implement scalable an...

The Team: You will work closely with a world-class AI and ML team comprised of experts in AI and ML modeling, MLOps engineers, data science, and data engineering. Your contributions will be critical in engineering and developing solutions for ML operations, supporting S&Ps AI-driven transformation to drive value both internally and for our customers. This role presents a unique opportunity for ML/MLOps engineers to advance in their career journey. Role/Responsibilities and Impact: ML Engineer to architect, build, and deploy production-grade GenAI services and solutions. Work on large-scale stateful and stateless distributed systems, including infrastructure, data ingestion platforms, SQL and...

Project description We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants, and more. Responsibilities Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such asChatbots, Document Q&A systems, Report generators, Code assistants and Summarization tools. Apply ...

Architect and manage Data bricks workspaces, clusters, and jobs for scalable data processing and ML workloads. Implement secure data lake house architectures with Delta Lake, Unity Catalog, and workspace isolation. Optimize performance and cost-efficiency of Data bricks deployments across cloud providers. Implement centralized logging, monitoring, and alerting for Data bricks and cloud resources. Ensure auditability and traceability of data access and transformations. Support governance frameworks with metadata management and data cataloging. Experience with the Integrity of data, resilience in Multi Cloud Infra(GCP, Azure Preferred) Mandatory Competencies Data Science and Machine Learning -...

Job Title: AI Application Architect About the Role We are seeking a talented engineer to drive the design, deployment, and continuous improvement of agentic AI applications . You will own the full lifecycle of agent frameworks, including toolchain architecture, prompt engineering, data integration, and observability, ensuring production-grade AI agents. This role requires a visionary leader who combines deep technical expertise with business understanding, capable of designing end-to-end solutions, recommending the right infrastructure, and building strong engineering teams. You will be responsible for rapid Proof of Concept (PoC) creation, guiding the transition to production-grade systems ...

We are hiring a Senior AIML Engineer specializing in Natural Language Processing (NLP) and Generative AI to join our high-impact AI Solutions team, focused on delivering advanced, production-grade AI solutions in the Electrification domain. In this role, you will work at the frontier of AI innovatiodesigning and developing RetrievalAugmented Generation (RAG) pipelines, finetuning LLMs, and building Agentic AI systems that are robust, scalable, and insightful. Responsibilities : Design, develop, and optimize NLPdriven AI solutions using state-of-the-art models and techniques (NER, embeddings, summarization, etc.). Build and productionize RAG pipelines and agentic workflows to support intellig...

What you can look forward to as a Senior Engineer-AI ML Expert Lead Development : Own endtoend design, implementation, deployment and maintenance of both traditional ML and Generative AI solutions (e.g., finetuning LLMs, RAG pipelines) Project Execution & Delivery : Translate business requirements into datadriven and GenAIdriven use cases; scope features, estimates, and timelines Technical Leadership & Mentorship : Mentor, review and coach junior/midlevel engineers on best practices in ML, MLOps and GenAI Programming & Frameworks : Expert in Python (pandas, NumPy, scikitlearn, PyTorch/TensorFlow) Cloud & MLOps : Deep experience with Azure Machine Learning (SDK, Pipelines, Model Registry, hos...

As a Product Owner for AI/Gen AI products in the Life Sciences portfolio, your role will involve leading the vision, development, and delivery of scalable AI solutions for various business challenges across R&D, Clinical Trials, Regulatory Affairs, and Commercial Operations in the US and European markets. Your responsibilities will include: - Defining and articulating the product vision, strategy, and roadmap for AI/Gen AI offerings in Life Sciences. - Conducting market research, competitive analysis, and trend forecasting to identify innovation opportunities. - Collaborating with leadership, sales, and delivery teams to align product strategy with client needs and business growth. - Engagin...

As an AI/ML Engineer, you will be responsible for leveraging your expertise in AI/ML to develop cutting-edge solutions. Here is a breakdown of what the role entails: **Key Responsibilities:** - Utilize your 6+ years of experience in AI/ML to develop innovative solutions - Demonstrate proficiency in Python and various ML libraries including scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn - Apply a strong understanding of machine learning algorithms and deep learning architectures such as CNNs, RNNs, and Transformers - Hands-on experience with TensorFlow, PyTorch, or Keras - Engage in data preprocessing, feature selection, EDA, and model interpretability - Comfortably develop API...

In this role at PwC, you will be part of the data and analytics engineering team, focusing on utilizing advanced technologies to create robust data solutions for clients. Your responsibilities will include transforming raw data into actionable insights, enabling informed decision-making, and driving business growth. Specifically, in data engineering, you will design and build data infrastructure and systems to facilitate efficient data processing and analysis. Your role will involve developing and implementing data pipelines, data integration, and data transformation solutions. Key Responsibilities: - Design and build data infrastructure and systems for efficient data processing and analysis...

About The Role Management Level: - Ind & Func AI Decision Science Consultant – Level 9 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Functional Commercial Analytics (Route to market), Revenue growth management - pricing , promotion, assortment, Descriptive, Diagnostic, Predictive, prescriptive analytics Analytics Models knowledge Econometric Modeling, Statistical Timeseries Models, Store Clustering Algorithms, Causal models, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, non-parametric models, AI/ML model development, Supervised and unsupervised learning models, Agentic frameworks, Generative AI models. Technical Azure ML Tech Stack, SQL, PySpark, ...

About The Role Job Title - S&C Global Network - AI - Merchandising Analytics - Analyst Management Level:11/9 Location:Bengaluru, BDC7C Must-have skills: Merchandising Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Professional & Technical Skills: - Relevant experience in the required domain. - ...

About The Role JD for Merchandising-CL7 Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting – Global Network Practice :- Marketing Analytics Title :- Manager Data Science Job location :- Gurgaon About S&C - Global Network :- Accenture Applied Intelligence practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. ...

About The Role Management Level Ind & Func AI Decision Science Analyst – Level 11 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills: Functional Commercial Analytics (Route to market), Revenue growth management - pricing , promotion, assortment, Descriptive, Diagnostic, Predictive, prescriptive analytics Analytics Models knowledge Econometric Modeling, Statistical Timeseries Models, Store Clustering Algorithms, Causal models, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, non-parametric models, AI/ML model development, Supervised and unsupervised learning models, Agentic frameworks, Generative AI models. Technical Azure ML Tech Stack, S...

About The Role Management Level: - Ind & Func AI Decision Science Consultant – Level 9 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Functional Commercial Analytics (Route to market), Revenue growth management - pricing , promotion, assortment, Descriptive, Diagnostic, Predictive, prescriptive analytics Analytics Models knowledge Econometric Modeling, Statistical Timeseries Models, Store Clustering Algorithms, Causal models, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, non-parametric models, AI/ML model development, Supervised and unsupervised learning models, Agentic frameworks, Generative AI models. Technical Azure ML Tech Stack, SQL, PySpark, ...

About The Role Management Level Ind & Func AI Decision Science Analyst – Level 11 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills: Functional Commercial Analytics (Route to market), Revenue growth management - pricing , promotion, assortment, Descriptive, Diagnostic, Predictive, prescriptive analytics Analytics Models knowledge Econometric Modeling, Statistical Timeseries Models, Store Clustering Algorithms, Causal models, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, non-parametric models, AI/ML model development, Supervised and unsupervised learning models, Agentic frameworks, Generative AI models. Technical Azure ML Tech Stack, S...

About The Role Management Level: Ind & Func AI Decision Science Manager – Level 7 Location Gurgaon / Bangalore / Mumbai Functional Commercial Analytics (Route to market), Revenue growth management - pricing, promotion, assortment, Descriptive, Diagnostic, Predictive, prescriptive analytics Analytics Models knowledge Econometric Modeling, Statistical Timeseries Models, Store Clustering Algorithms, Causal models, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, non-parametric models, AI/ML model development, Supervised and unsupervised learning models, Agentic frameworks, Generative AI models. Technical Azure ML Tech Stack, SQL, PySpark, Python, Cloud Platf...

Seeking a GenAI Developer (7+ yrs) skilled in LLMs, RAG, and Agentic AI to build intelligent, scalable automation solutions using Python, Azure AI/ML, LangChain, & MLOps for enterprise-grade deployments. share resume on harshit.bharadwaj@successr.in Required Candidate profile Ideal candidate has deep expertise in GenAI, LLMs, prompt engineering, RAG pipelines, and Azure ML with proven experience in deploying AI copilots and agentic systems in production environments.

About this role: Wells Fargo is seeking a Senior Systems Operations Engineer In this role, you will: Lead or participate in managing all installed systems and infrastructure within the Systems Operations functional area Contribute in increasing system efficiencies and lowering the human intervention time on related tasks Review and analyze moderately complex operational support systems, application software, and system management tools to ensure the highest levels of systems and infrastructure availability Work with vendors and other technical personnel for problem resolution Lead team to meet technical deliverables while leveraging solid understanding of technical process controls or standa...

About the Role Youll lead the architecture, development, and deployment of next-generation agentic AI systems that transform enterprise operations. These intelligent agents will autonomously orchestrate workflows, analyze real-time data, and embed decision-making across domains like finance, sales, and operations. Youll guide cross-functional teams, mentor engineers, and ensure technical excellence across all stages of delivery. Microsoft AI Foundry will be a key platform for agent development, and Copilot Studio may be used optionally for few use cases. Day-to-Day Work Responsibilities Architect and lead development of scalable, production-grade agentic AI systems. Design serverless, event-...

Job Description Change the world. Love your job. We are seeking experienced Data Scientist to join our team. As the Data Scientist in our Demand Analytics team, you will play a pivotal role in shaping and executing our demand planning and inventory buffer strategies for the company. You will be working side by side with a team of highly technical professionals that will consists of application developers, system architects, data scientists and data engineers. This role will be responsible for solving complex business problems through innovative solutions that deliver tangible business value. This position requires a technical leader with a strong technical background in AI/ML , simulation so...

Position Summary Highly skilled GenAI Application Leader with 15+ years of total experience who can drive the design, development, testing, and deployment of Generative AI–based applications focused on Data and Analytics in Life Sciences domain . The ideal candidate will have a strong background in Python, RAG, knowledge graphs, Gen AI/LLM frameworks (LangChain, LangGraph), AWS/Azure cloud services with hands-on experience integrating and fine-tuning GPT, Anthropic Claude, Mistral, or Snowflake Cortex for real-world business use cases. Strong client problem-solving skills across life sciences data and analytics is a plus. This role bridges AI engineering, data analytics, and full-stack devel...

Position Summary Highly skilled GenAI Application Leads with 8 to 15 years of total experience who can lead the design, development, testing, and deployment of Generative AI–based applications focused on Data and Analytics in Life Sciences domain . The ideal candidate will have a strong background in Python, RAG, knowledge graphs, Gen AI/LLM frameworks (LangChain, LangGraph), AWS/Azure cloud services with hands-on experience integrating and fine-tuning GPT, Anthropic Claude, Mistral, or Snowflake Cortex for real-world business use cases. Strong client problem-solving skills across life sciences data and analytics is a plus. This role bridges AI engineering, data analytics, and full-stack dev...

Position Summary Highly skilled GenAI Application Leads with 8 to 15 years of total experience who can lead the design, development, testing, and deployment of Generative AI–based applications focused on Data and Analytics in Life Sciences domain . The ideal candidate will have a strong background in Python, RAG, knowledge graphs, Gen AI/LLM frameworks (LangChain, LangGraph), AWS/Azure cloud services with hands-on experience integrating and fine-tuning GPT, Anthropic Claude, Mistral, or Snowflake Cortex for real-world business use cases. Strong client problem-solving skills across life sciences data and analytics is a plus. This role bridges AI engineering, data analytics, and full-stack dev...