6 Azureml Jobs

At TJX Companies, every day brings new opportunities for growth, exploration, and achievement. You ll be part of our vibrant team that embraces diversity, fosters collaboration, and prioritizes your development. Whether you re working in our four global Home Offices, Distribution Centers or Retail Stores TJ Maxx, Marshalls, Homegoods, Homesense, Sierra, Winners, and TK Maxx, you ll find abundant opportunities to learn, thrive, and make an impact. Come join our TJX family a Fortune 100 company and the world s leading off-price retailer. Job Description: What you'll discover Inclusive culture and career growth opportunities Global IT Organization which collaborates across U.S., Canada, Europe,...

Job Description: 3 years of IT experience 2 Years in AI ML DS Domain Gen AI Technologies Prompt Engineering LLM Development using Langchain Semantic Kernel Open Source API based LLMs Python Data Science Machine Learning Deep Learning PySpark PyTorch TensorFlow Keras etc AIML Subfields such as Neural Networks Computer Vision Speech Processing Natural Language Processing AIML Tools such as AzureML Google ML AWS AI ML H2O DataBricks DataRobots and any other tools Key Responsibilities: Data collection and preparation Collect and prepare data for training and evaluating LLMs This may involve cleaning and processing text data or creating synthetic data Model development Design and implement LLM mo...

Job Description: 5 years of IT experience 2 Years in AI ML DS Domain Gen AI Technologies Prompt Engineering LLM Development using Langchain Semantic Kernel Open Source API based LLMs Python Data Science Machine Learning Deep Learning PySpark PyTorch TensorFlow Keras etc AIML Subfields such as Neural Networks Computer Vision Speech Processing Natural Language Processing AIML Tools such as AzureML Google ML AWS AI ML H2O DataBricks DataRobots and any other tools Key Responsibilities: A day in the life of an Infoscion As part of the Infosys consulting team your primary role would be to get to the heart of customer issues diagnose problem areas design innovative solutions and facilitate deployme...

Key Responsibilities: Leadthedesign, development, and implementation of AI/ML models and solutions. Mentorandguide a team of AI/ML engineers, fostering a collaborative and innovative environment. Translate business requirements into technical specifications and tasks. Research and evaluate new AI/ML technologies and methodologies, including Large and Small Language Models and Agentic AI frameworks. Implement and optimize AI/ML pipelines on cloud platforms such as Azure and AWS. Ensurethe quality, performance, and scalability of AI/ML solutions. Collaborate with cross-functional teams, including product, engineering, and business stakeholders. Contribute to the development of best practices a...

As a skilled MLOps Support Engineer, you will be responsible for monitoring and managing ML model operational pipelines in AzureML and MLflow. Your primary focus will be on automation, integration validation, and CI/CD pipeline management to ensure stability and reliability in model deployment lifecycles. Your objectives in this role include supporting and monitoring MLOps pipelines in AzureML and MLflow, managing CI/CD pipelines for model deployment and updates, handling model registry processes, performing testing and validation of integrated endpoints, automating monitoring and upkeep of ML pipelines, as well as troubleshooting and resolving pipeline and integration-related issues. In you...

Description - External Key Responsibilities: Develop and deploy data pipelines and machine learning models on cloud platforms (Azure, Databricks, AzureML). Utilize Python and its libraries (scikit-learn, Pandas, NumPy, TensorFlow, PyTorch) for data processing and model development. Implement and manage RAG modeling using vector databases (Milvus, Chroma, FAISS). Monitor and maintain the health and performance of deployed ML models using model observability tools. Design, build, and optimize AI models and generative AI applications. Create and fine-tune prompts for generative AI systems, including zero-shot, few-shot, and chain-of-thought approaches. Ensure the scalability, reliability, and e...