330 Azure Ml Jobs - Page 2

Role Overview We are looking for a Senior/Lead ML Data Scientist with strong expertise in the Databricks ML ecosystem and proven experience in Generative AI and LLM fine-tuning. This role will drive end-to-end ML/AI initiatives — from presales solution shaping, customer workshops, and PoCs to large-scale delivery, deployment, and adoption. The candidate will define AI/ML strategy, ensure successful execution, and mentor teams while driving responsible and business-aligned AI delivery. Key Responsibilities ML & AI Solutioning Lead the design and development of machine learning models (classification, regression, clustering, NLP, CV). Implement ML workflows in Databricks using MLflow, Feature ...

You will be part of the PricewaterhouseCoopers (PwC) team, a global consulting firm dedicated to building trust in society and solving important problems for clients and communities worldwide. As a member of the US Advisory Bangalore Acceleration Center, you will play a crucial role in supporting various practice teams and contributing to PwC's success in the marketplace. **Key Responsibilities:** - Supervise, develop, and coach teams to deliver complex analytics solutions - Analyze complex problems and provide actionable insights - Automate repetitive data preparation, cleansing, and reporting tasks using AI-assisted pipelines and low-code/no-code tools - Leverage data visualization tools a...

Role Overview: As a Data Analyst at UST, you will independently develop data-driven solutions to challenging business problems by utilizing analytical, statistical, and programming skills to collect, analyze, and interpret large data sets under supervision. You will work with stakeholders across the organization to identify opportunities for leveraging customer data to create models that generate business insights. Your role will involve creating new experimental frameworks, building automated tools to collect data, correlating similar data sets to find actionable results, and developing predictive models and machine learning algorithms to analyze large amounts of information to discover tre...

As a GenAI Senior Developer & Architect at Auxiliobits, you will play a crucial role in designing, engineering, and deploying cutting-edge GenAI and Agentic AI systems. Your expertise in LLMs, multimodal models, RAG systems, vector databases, and Agentic AI frameworks will be essential in leading the end-to-end lifecycle of advanced AI solutions. **Key Responsibilities:** - **Architecture & Solution Design** - Architect scalable GenAI and Agentic AI solutions using LLMs, RAG, multi-agent frameworks, LangChain, LangGraph, LlamaIndex, DSPy, etc. - Design end-to-end AI pipelines including ingestion, embeddings, vector search, model orchestration, memory, and multi-agent reasoning. - Own archite...

Job Purpose The Business Analyst will play a pivotal role in driving digital transformation within the Finance function by leading initiatives across SharePoint portal development, Admin ERP enhancements, and AI use case implementation. The role demands strong analytical skills, stakeholder management, and a deep understanding of finance processes and technology platforms. Duties and Responsibilities SharePoint Portal Development Collaborate with finance teams to gather requirements for SharePoint-based solutions. Design and implement user-friendly portals for document management, workflow automation, and reporting. Coordinate with IT and development teams to ensure timely delivery and testi...

As an experienced data scientist, you will be responsible for leading the development of predictive models from exploration to full-scale production deployment. Your key responsibilities will include: - End-to-End Product Ownership: Taking charge of developing predictive models and ensuring their successful deployment in production environments. - Prediction: Building robust regression, time-series, and deep learning models to predict prices/values of various commodities like financial assets, oil, and apparel. - Model Optimization: Continuously fine-tuning models for accuracy, performance, and scalability using real-time data feedback. - ML Ops & Deployment: Collaborating with engineering t...

As a Senior ML Engineer, you will apply machine learning engineering and applied data science techniques to design, train, and evaluate models that directly impact industrial performance, working closely with engineers and the Product Operations team. This is a hands-on role for someone who thrives on ownership, experimentation, and delivering real-world impact. You will play a key role in advancing the intelligence and reliability of industrial processes powered by Batch AI. Responsibilities: - Design, train, and validate machine learning models that improve process performance and stability in concrete batching operations. - Lead end-to-end model development, from data exploration and feat...

In data and analytics engineering at PwC, you focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. You play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Your main focus will be on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. - Define, implement, and manage AI-specific QA standards and methodologies. - Lead a team of QA professionals to ensure rigorous testing of AI ap...

As a highly skilled and motivated Data Scientist with a specialization in Generative AI and Large Language Models (LLM), your role at Innover will involve transitioning from hypotheses to impactful AI/ML products. You will collaborate with multi-functional teams to develop and implement machine learning models, focusing on Generative AI techniques and LLM, to solve complex business problems. Your responsibilities will include: - Developing and implementing machine learning models using various algorithms and techniques. - Streamlining Generative AI model development and deployment using Azure infrastructure and capabilities. - Applying prompt engineering techniques, working with RAG applicat...

As an Advanced Analytics Consultant at PharmaACE, you will play a crucial role in leading the design and deployment of intelligent, data-driven solutions at the intersection of business strategy, advanced data modeling, and artificial intelligence for clients in the pharmaceutical, life sciences, or broader commercial domain. **Key Responsibilities:** - Lead the development and implementation of AI and machine learning models to solve complex business problems such as segmentation, churn prediction, targeting optimization, and personalization. - Evaluate multiple AI/ML techniques (e.g., supervised/unsupervised learning, NLP, deep learning) to determine the most effective approach. - Create s...

As a Generative AI Consultant for Supply Chain Business Process Senior Consultant at EY, you will have the opportunity to work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Your role will be crucial in the growth of a new service offering within the Supply Chain Technology group of the GDS consulting Team. **Key Responsibilities:** - Collaborate with 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 fo...

As an AI/ML Scientist at A.P. Moller Maersk, you will be a part of the Global Data and Analytics (GDA) team, where your primary focus will be on developing strategic, visibility-driven recommendation systems that cater to both internal stakeholders and external customers. Your role is crucial in delivering actionable insights that can improve supply chain execution, facilitate strategic decision-making, and enable innovative service offerings. Your responsibilities will include designing, developing, and implementing machine learning models, conducting deep data analysis, and supporting decision-making with data-driven insights. Key Responsibilities: - Develop and implement advanced machine ...

About The Role About The Role Template Job Title - Decision Science Practitioner Sr. Analyst S&C GN Management Level:Sr. Analyst Location:Bangalore/ Kolkata/ Gurugram/Hyderabad Must have skills: Generative AI Good to have skills: Data Science Experience: 4+ years in data science Educational Qualification:B tech, M tech in Computer Science, Statistics, Applied Mathematics, Engineering or related field Job Summary : We are seeking a highly skilled and motivated Data Science Sr. Analyst to lead innovative projects and drive impactful solutions in domains such as Consumer Tech , Enterprise Tech , and Semiconductors . This role combines hands-on technical expertise , and client delivery managemen...

As a Senior Data Scientist (Generative AI), you will lead the design, research, and implementation of advanced AI solutions to address complex business challenges. You will work across the full ML lifecyclefrom ideation and experimentation to scalable deploymentdeveloping and fine-tuning models such as LLMs, diffusion models, and multi-agent systems. Responsibilities: Build, fine-tune, and deploy generative AI and LLM-based solutions using frameworks like LangChain, HuggingFace, and PyTorch Develop, test, and optimize RAG pipelines, diffusion models, and AI agents for real-world use cases. Collaborate with engineering teams to productionize ML solutions with MLOps tools (MLflow, Kubeflow, W&...

Role Overview: You are seeking a highly experienced and innovative Senior AI Engineer to join the rapidly expanding AI/ML team at CGI. With 7+ years of hands-on experience, you will play a crucial role in the end-to-end lifecycle of AI/ML solutions, from research and prototyping to developing, deploying, and maintaining production-grade intelligent systems. By collaborating closely with data scientists, product managers, and software engineers, you will drive the adoption of cutting-edge AI technologies across platforms. Key Responsibilities: - Design, develop, train, and optimize robust and scalable machine learning models (e.g., deep learning, classical ML algorithms) for various applicati...

As an AI Architect at EY, your role will involve leading the design, development, and deployment of enterprise-grade generative AI solutions. You will be leveraging LLMs, diffusion models, and multimodal architectures to enable responsible and scalable adoption of GenAI across various business domains. Working cross-functionally with data scientists, software engineers, risk and compliance teams, and business stakeholders, you will define reference architectures, integrate systems, and ensure secure and ethical AI adoption. Your key responsibilities will include: - Designing scalable and modular architectures for generative AI solutions like LLMs, chatbots, copilots, document intelligence, i...

As a Python Developer at our company, you will be responsible for utilizing your expertise in Python development to contribute to the implementation of AI/ML frameworks and cloud services. Here is a breakdown of the key aspects of the role: **Role Overview:** You will be working with a team of professionals to develop Python-based solutions using frameworks such as FastAPI, Flask, or Django. Your role will involve hands-on experience with AI/ML frameworks like PyTorch, TensorFlow, and LangChain. Additionally, you will be expected to leverage your proficiency in Azure Cloud Services, including Azure ML, Azure OpenAI, Cognitive Services, Azure Storage, and Azure DevOps. **Key Responsibilities:...

MLOps Engineer" OR "ML Engineer Skill: MLOPS+ Databricks/Snowfalks Location: PAN India Grade: P2/P3/P4/P5 Exp- 3-5/5-8/8-12/12-15yrs JD: Roles and Responsibilities: As an ML Engineering Specialist you will be owning responsibility to operationalize ML models NLP Computer Vision and other type of models End to End model lifecycle management starting from feature extraction to monitor machine learning models using high end tools and technologies Design implementation of DevOps principles in Machine Learning Model quality assurance governance and monitoring Integrate models as part of business applications via APIs Execute best practices in version control and continuous integration delivery Co...

As a Senior AI/ML Specialist in Sustainability, Health & Safety at ERM, you will lead the development of AI accelerators, intelligent agents, and machine learning models to drive client impact in sustainability, health, and safety domains. You will have the opportunity to apply cutting-edge technologies such as LLMs, BERT, and Microsoft Azure AI to design enterprise-grade solutions. ERM is committed to delivering sustainability-focused digital solutions and values technical excellence, scalability, and cross-functional teamwork. **Key Responsibilities:** - Lead the design, development, and deployment of AI/ML solutions, accelerators, and frameworks for sustainability, ESG, and workplace safe...

Role Overview: You will be working with business stakeholders and cross-functional Subject Matter Experts (SMEs) to deeply understand the business context and key business questions. Your main responsibilities will include creating Proof of Concepts (POCs) and Minimum Viable Products (MVPs), guiding them through production deployment, and operationalization of projects. You will also influence the machine learning strategy for Digital programs and projects, make solution recommendations balancing speed to market and analytical soundness, and develop analytical or modeling solutions using various tools like Python, R, and TensorFlow. Additionally, you will be responsible for formulating model...

You are an experienced Python AI Developer with 47 years of hands-on experience in real-world AI/ML solutions. Your role will involve building, deploying, and maintaining scalable AI systems in production, focusing on Machine Learning, Deep Learning, LLMs, Agents, and NLP. Strong software engineering fundamentals, practical deployment experience, and a deep understanding of classical and modern AI approaches are essential for this role. Key Responsibilities: - Build, fine-tune, and deploy Large Language Models (LLMs) and AI agents for real-world use cases such as chatbots, summarization, RAG systems, and recommendation engines. - Develop and deploy production-grade models with CI/CD pipeline...

As a Lead Data Scientist at our company, you will be spearheading our AI and Machine Learning initiatives. Your role will involve driving innovation in Classical Machine Learning, Conversational AI, and Deep Learning Systems. Your responsibilities will include overseeing model development, optimizing AI-driven solutions, mentoring junior team members, and collaborating with key stakeholders to align AI strategies with business goals. The ideal candidate should possess expertise in NLP, Large Language Models (LLMs), Generative AI, and MLOps to lead the development of scalable AI-driven solutions. **Responsibilities:** - Define and drive the AI/ML strategy aligned with business objectives. - L...

As a Python Developer at our company, you will be responsible for developing cutting-edge AI/ML solutions using Python and various frameworks. Here is a detailed breakdown of the key aspects of the role: **Role Overview:** You will be a crucial part of our team, leveraging your expertise in Python development and AI/ML frameworks to drive innovation in our projects. Your primary focus will be on developing AI/ML solutions using frameworks like FastAPI, Flask, or Django, and working with AI/ML frameworks such as PyTorch and TensorFlow. **Key Responsibilities:** - Develop AI/ML solutions using Python frameworks like FastAPI, Flask, or Django. - Work with AI/ML frameworks such as PyTorch and Te...

As a Machine Learning & Generative AI Engineer, you will play a crucial role in designing, building, and deploying advanced ML and GenAI solutions. You will have the opportunity to work on cutting-edge AI technologies like LLM fine-tuning, Transformer architectures, Retrieval-Augmented Generation (RAG), and enterprise-scale ML systems. Your innovative thinking and technical expertise will be instrumental in delivering impactful AI solutions aligned with business needs. **Key Responsibilities:** - Design, build, and deploy end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Develop and optimize LLM-based solutions using Transformer arc...

As an AI Automation Architect for Customer Business Process Manager at EY, you will have the opportunity to work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Your role in the Supply Chain Technology group of the GDS consulting Team will be instrumental in the growth of a new service offering. You will collaborate closely with EY Partners and external clients to develop new business and drive initiatives in Customer and SC&O domains. **Key Responsibilities:** - Collaborate with EY Supply chain & Operations stakeholders and data engineering teams for high-quality data curation. - Design, dev...