485 Kubeflow Jobs - Page 20

Job Summary Director, Collection Platforms and AI As a director, you will be essential to drive customer satisfaction by delivering tangible business results to the customers. You will be working for the Enterprise Data Organization and will be an advocate and problem solver for the customers in your portfolio as part of the Collection Platforms and AI team. You will be using communication and problem-solving skills to support the customer on their automation journey with emerging automation tools to build and deliver end to end automation solutions for them. Team Collection Platforms and AI Enterprise Data Organizations objective is to drive growth across S&P divisions, enhance speed and pr...

Hi, We are hiring for ML Developer. Please find the attached JD. Key Responsibilities Design, develop, and optimize machine learning models for various business applications. Build and maintain scalable AI feature pipelines for efficient data processing and model training. Develop robust data ingestion, transformation, and storage solutions for big data. Implement and optimize ML workflows, ensuring scalability and efficiency. Monitor and maintain deployed models, ensuring performance, reliability, and retraining when necessary Preferred candidate profile Qualifications and Experience Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field...

Job description Job description Job Summary: We are looking for a results-driven and innovative Data Scientist with 46 years of experience in data analysis, machine learning, and product optimization. The ideal candidate will have a strong foundation in Python, SQL, and cloud services, along with practical exposure to GenAI, LLMs, and MLOps frameworks. You will be responsible for building scalable data pipelines, developing machine learning models, and solving real-world business problems with data-driven solutions. Key Responsibilities: Design and deploy LLM-powered solutions (e.g., RAG, LangChain, Vector DB) to enhance business processes. Build and fine-tune traditional ML models (Random F...

Role & responsibilities Develop, improve, and expand deployment pipeline infrastructure and services Build and deploy hyperscale machine learning pipelines into production Works closely with the developer teams to provide a self-service test integration, test coverage and quality Collaborate with the Security Engineering and Architecture teams to ensure code meets security requirements and is deployed in alignment with standards and governance processes Debug and resolve the issues developers encounter when attempting to use cloud services, with an eye toward continuously improving developer experience Execute against a vision of continuous integration and delivery that empowers developers P...

HPE is seeking Data Engineer with strong experience in machine learning workflows to build and optimize scalable data systems. You'll work closely with data scientists and data engineers to power ML-driven solutions . --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Responsibilities: Collaborate closely with Machine Learning (ML) teams to deploy and monitor models in production, ensuring optimal performance and reliability. Design and implement experiments, and apply statistical analysis to validate model solutions and resu...

Role & Responsibilities: Lead end-to-end development of AI-powered solutions across Computer Vision, NLP, and predictive modeling. Architect and implement scalable AI services and integrate them using REST APIs and microservices. Drive MLOps best practices and manage CI/CD pipelines using tools like MLflow, Kubeflow, and Docker. Fine-tune large language models and build NLP applications such as document intelligence, text summarization, semantic search, and QA systems. Mentor a team of engineers and collaborate with product managers to define the AI roadmap. Conduct regular code reviews and ensure the delivery of high-quality, production-ready AI systems. Preferred Candidate Profile: 5+ year...

1. Deep expertise in TensorFlow 2. Hands-on with MLOps toolchains (Kubeflow, MLflow), 3. Familiarity with GenAI concepts (LLM fine-tuning) embeddings, RAG, 4. Designing compute clusters (GPU/CPU), cost-optimization strategies, 5.Serverless vs. containerized deployments, autoscaling, 6. High-throughput, zero-downtime system design,Strong command of microservices, API design, event-driven patterns, 7. Building and optimizing data pipelines (Airflow/Spark) 8. Real-time processing and analytics/reporting

About the role You will have a vital role in developing complex solutions and deploying transformative data products. You will work in a team responsible for building Analytical insights, recommendation engines and boutique algorithms. You will identify new areas to apply data science to improve business performance. As a digital marketplace with millions of reviews and insights from our clients, there are limitless opportunities to apply your skills in data science. You will cover a broad and evolving set of responsibilities as you build data science capabilities at RCD versatility, adaptability, and self-sufficiency will be critical to success. As a member of the Gartner family, you will h...

About the role You will have a vital role in developing complex solutions and deploying transformative data products. You will work in a team responsible for building Analytical insights, recommendation engines and boutique algorithms. You will identify new areas to apply data science to improve business performance. As a digital marketplace with millions of reviews and insights from our clients, there are limitless opportunities to apply your skills in data science. You will cover a broad and evolving set of responsibilities as you build data science capabilities at RCD versatility, adaptability, and self-sufficiency will be critical to success. As a member of the Gartner family, you will h...

Data Scientist - GenAI Applications Position Overview We are seeking an experienced Data Scientist with 6+ years of experience to join our GenAI Applications team. This role leverages core data science expertisestatistical modeling, machine learning, and data analysis—to enhance and optimize generative AI solutions. The ideal candidate will bring strong foundational data science skills and apply them to the emerging field of generative AI. Key Responsibilities Statistical Analysis & Machine Learning Conduct statistical analysis and hypothesis testing to validate model performance and business impact Build and optimize traditional machine learning models (regression, classification, clusterin...