484 Kubeflow Jobs - Page 5

About This Role Role Overview: We are looking for a forward-thinking AI Engineer to help redefine how quality is understood, measured, and improved across our engineering organization. This role goes beyond traditional test automation it focuses on building intelligent systems that enhance decision-making, accelerate feedback loops, and elevate product quality through data-driven insights and adaptive tooling. You will work at the intersection of AI, software testing, and engineering operations, applying techniques from Machine Learning (ML), Natural Language Processing (NLP), and Large Language Models (LLMs) to create scalable solutions that support quality assurance, risk analysis, and con...

Sr Python Developer (AI/ML Projects) Location : Onsite | Mohali Experience : 6-9 Years Employment Type : Full-Time Role Overview We are looking for a Senior Python Developer with deep expertise in AI/ML frameworks, data engineering, and scalable application development. The candidate will work on high-velocity AI/ML projects-ranging from predictive analytics and recommendation engines to generative AI platforms-where fast delivery and iteration are Responsibilities : Design & Develop : Build robust Python-based applications for AI/ML, data processing, and automation. Model Integration : Implement, fine-tune, and deploy ML/DL models using TensorFlow, PyTorch, Scikit-learn, Hugging Face. Data ...

About Us TechRBM is a rapidly scaling technology partner to global enterprises, specializing in AI, Cloud, Data Engineering, and Digital Transformation. With a team strength of 200+ professionals and scaling toward 500, we are building AI-first cloud architecture leadership to deliver secure, scalable, and intelligent enterprise platforms. Role Overview We are seeking a Hands-on Azure AI Architect with expertise in Azure cloud infrastructure, DevOps automation, and programming in .NET/C# or Python, combined with AI solution design and deployment. This role blends cloud architecture, AI engineering, and hands-on coding-enabling scalable AI-driven applications for industries such as banking, h...

As a seasoned AI/ML Architect at SIDGS, you will play a crucial role in designing and implementing cutting-edge machine learning solutions for clients. Your expertise in Python and machine learning will be instrumental in both pre-sales solutioning and technical implementation. **Key Responsibilities:** - **AI/ML Architecture & Hands-on Delivery**: - Design and implement end-to-end machine learning systems, including data ingestion, feature engineering, model development, deployment, and monitoring. - Write clean, production-grade Python code for ML pipelines, APIs, and utilities. - Develop and fine-tune models using Scikit-learn, TensorFlow, PyTorch, or Hugging Face. - Design solutions for ...

Design, build, and deploy end-to-end machine learning solutions across structured (tabular) medical datasets and unstructured/non-tabular data (text, images, OCR, signals). Apply advanced ML, deep learning, and LLM-based approaches to solve real-world healthcare/medical challenges. Collaborate with cross-functional teams (engineering, product, domain experts) to translate business requirements into scalable data science solutions. Drive MLOps best practices: experiment tracking, model versioning, CI/CD, monitoring, and automated retraining pipelines. Ensure production-grade robustness using Test-Driven Development (TDD) and OOP principles in ML pipelines. Contribute to architecture discussio...

Key Responsibilities : - Design and implement end-to-end MLOps pipelines for continuous integration, continuous delivery, and continuous training (CI/CD/CT) of ML models. - Manage and optimize the production environment for ML models, using containerization (Docker) and orchestration (Kubernetes) to ensure scalability and reliability. - Implement monitoring and logging solutions to track model performance, data drift, and potential anomalies in production. - Collaborate with data scientists to transition models from research and development into a production-ready state. - Automate the retraining and redeployment of models to maintain accuracy and adapt to new data. - Troubleshoot and resolv...

Key Responsibilities : - Design and implement end-to-end MLOps pipelines for continuous integration, continuous delivery, and continuous training (CI/CD/CT) of ML models. - Manage and optimize the production environment for ML models, using containerization (Docker) and orchestration (Kubernetes) to ensure scalability and reliability. - Implement monitoring and logging solutions to track model performance, data drift, and potential anomalies in production. - Collaborate with data scientists to transition models from research and development into a production-ready state. - Automate the retraining and redeployment of models to maintain accuracy and adapt to new data. - Troubleshoot and resolv...

You are a deep-tech innovator at the intersection of Artificial Intelligence, machine-learning infrastructure, and edge-to-cloud platforms. Your award-winning solutions enable Fortune-500 enterprises to build, train, and deploy large-scale AI models seamlessly, securely, and at lightning speed. As the global demand for generative AI, RAG pipelines, and autonomous agents accelerates, you are scaling your MLOps team to keep your customers two steps ahead of the curve. **Role Overview:** As part of the MLOps team, your role involves owning the full MLOps stack by designing, building, and hardening GPU-accelerated Kubernetes clusters across on-prem DCs and cloud platforms for model training, fin...

Role Overview: As an AI Infrastructure engineer and project manager at Lenovo, your primary responsibility will be to install, configure, and deploy AI-based Proof of Concepts (PoCs) into full production environments for enterprise customers. You will focus on deploying Nvidia AI Enterprise solutions on Lenovo hardware to ensure seamless, scalable, and robust production implementations, ultimately helping customers unlock the full potential of AI technologies. Key Responsibilities: - Manage the AI production deployment process from testing to final deployment, configuring, installing, and validating AI systems using key platforms such as VMware ESXi, Linux, Windows Server, Docker, and Kubern...

You will be joining Jarvis Business Solutions as a full-time AI/ML Technical Lead based in Hyderabad. Your main responsibility will be to lead AI/ML projects, develop algorithms, implement machine learning models, and offer technical guidance to the team. Collaboration with stakeholders to understand business requirements and ensure successful project delivery will also be a key aspect of your role. - Lead AI/ML projects, develop algorithms, and implement machine learning models. - Provide technical guidance to the team. - Collaborate with stakeholders to understand business requirements. - Ensure successful project delivery. - Bachelors or Masters degree in Computer Science, Engineering, Ma...

Overview Within the Scalable AI team, we sustainably solve the recurring challenges that arise in enterprise AI solutions by applying the latest cognitive platform and solutions to the first customers. We thereby support the application of a plethora of AI-fueled products by providing in-depth software solutions to questions regarding automation, testing, reliability, model and data quality. You will join a highly motivated team of Data Scientists and Software Engineers that strives for a seamless end-to-end use of forecasting and other state-of-the-art technologies along the supply chain. Scope Develop, apply and operate software tools in BY SDK (GenAI framework) To support customer onboard...

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. AI Solutions Architect Join us in shaping the future of AI-powered business transformation. Five9 is committed to staying ahead in the rapidly evolving AI landscape, driving innovation, and leveraging the most advanced tools to deliver a lasting competitive advantage. ...

Why This Role is Special Greenfield + Impact: Build GenAI-powered financial solutions from scratch with minimal legacy baggage. Enterprise-grade Scale: Your models will power risk, fraud, and personalization systems used in high-stakes fintech environments. Innovation at Core: From RAG pipelines to fine-tuned LLMs, you'll explore and deploy the latest AI techniques. End-to-End Ownership: From idea to productiondata pipelines, modeling, compliance, and observabilityyou'll drive the full cycle. Key Responsibilities: AI/ML Development: Architect and implement advanced ML systems for fraud detection, credit scoring, personalization, and risk modeling. Generative AI Solutions: Build and deploy LL...

Lyric is an AI-first, platform-based healthcare technology company, committed to simplifying the business of care by preventing inaccurate payments and reducing overall waste in the healthcare ecosystem, enabling more efficient use of resources to reduce the cost of care for payers, providers, and patients. Lyric, formerly ClaimsXten, is a market leader with 35 years of pre-pay editing expertise, dedicated teams, and top technology. Lyric is proud to be recognized as 2025 Best in KLAS for Pre-Payment Accuracy and Integrity and is HI-TRUST and SOC2 certified. Interested in shaping the future of healthcare with AI Explore opportunities at lyric.ai/careers and drive innovation with #YouToThePow...

AI/ML Engineer Senior Consultant AI Engineering Group is part of Data Science & AI Competency Center and is focusing technical and engineering aspects of DS/ML/AI solutions. We are looking for experienced AI/ML Engineers to join our team to help us bring AI/ML solutions into production, automate processes, and define reusable best practices and accelerators. Duties description: The person we are looking for will become part of DataScience and AI Competency Center working in AI Engineering team. The key duties are: Building high-performing, scalable, enterprise-grade ML/AI applications in cloud environment Working with Data Science, Data Engineering and Cloud teams to implement Machine Learni...

Key Responsibilities : - Design and implement end-to-end MLOps pipelines for continuous integration, continuous delivery, and continuous training (CI/CD/CT) of ML models. - Manage and optimize the production environment for ML models, using containerization (Docker) and orchestration (Kubernetes) to ensure scalability and reliability. - Implement monitoring and logging solutions to track model performance, data drift, and potential anomalies in production. - Collaborate with data scientists to transition models from research and development into a production-ready state. - Automate the retraining and redeployment of models to maintain accuracy and adapt to new data. - Troubleshoot and resolv...

Key Responsibilities : - Design and implement end-to-end MLOps pipelines for continuous integration, continuous delivery, and continuous training (CI/CD/CT) of ML models. - Manage and optimize the production environment for ML models, using containerization (Docker) and orchestration (Kubernetes) to ensure scalability and reliability. - Implement monitoring and logging solutions to track model performance, data drift, and potential anomalies in production. - Collaborate with data scientists to transition models from research and development into a production-ready state. - Automate the retraining and redeployment of models to maintain accuracy and adapt to new data. - Troubleshoot and resolv...

Key Responsibilities : - Design and implement end-to-end MLOps pipelines for continuous integration, continuous delivery, and continuous training (CI/CD/CT) of ML models. - Manage and optimize the production environment for ML models, using containerization (Docker) and orchestration (Kubernetes) to ensure scalability and reliability. - Implement monitoring and logging solutions to track model performance, data drift, and potential anomalies in production. - Collaborate with data scientists to transition models from research and development into a production-ready state. - Automate the retraining and redeployment of models to maintain accuracy and adapt to new data. - Troubleshoot and resolv...

As a Data Science/AI/ML professional at Cybage in Pune, you will have the opportunity to work with a leading company specialized in outsourced product engineering services. Cybage collaborates with top independent software vendors and utilizes a data-driven system called Decision Mines for Digital Excellence to provide innovative solutions leveraging modern technologies. Key Responsibilities: - Design, implement, and optimize ML pipelines with tools like TensorFlow, PyTorch, MLflow, Scikit-learn, or ONNX. - Operationalize models using CI/CD for ML practices (MLOps) on platforms like Kubeflow, Azure ML, or SageMaker. - Collaborate with data scientists to convert prototypes into production-lev...

Job Description We are seeking a seasoned and highly analytical Data Scientist with 5-7 years of professional experience to join our dynamic data science team. The ideal candidate will be a technical expert and a strategic thinker, capable of turning complex datasets into actionable insights and robust predictive models. You will play a key role in the entire data science lifecycle, from problem definition and data exploration to model development, validation, and deployment. Expertise in both traditional statistical modeling and modern deep learning techniques, including Generative AI, is highly valued. Key Responsibilities Solving & Strategy Collaborate with stakeholders across business un...

Description and Requirements Key Responsibilities : Lead end-to-end transitions of AI PoCs into production environments, managing the entire process from testing to final deployment. Configure, install, and validate AI systems using key platforms, including VMware ESXi and vSphere for server virtualization, Linux (Ubuntu/RHEL) and Windows Server for operating system integration, Docker and Kubernetes for containerization and orchestration of AI workloads. Conduct comprehensive performance benchmarking and AI inferencing tests to validate system performance in production. Optimize deployed AI models for accuracy, performance, and scalability to ensure they meet production-level requirements a...

Company Description At AJHumanAI, we offer innovative and practical IT solutions to cater to both global enterprises and local communities. Our expertise includes web and mobile app development, AI-powered business solutions, secure e-commerce platforms, and academic project support. We are dedicated to empowering businesses and students with scalable IT services, focused on delivering quality and affordability. With a global and local client base, we ensure data security, rapid project delivery, and flexible service models. The Role: We are seeking a highly motivated Software Engineer with a strong foundation in Artificial Intelligence and excellent communication skills. You will be part of...

Designation: AI/ML Developer Location: Ahmedabad Department: Technical Job Summary We are looking enthusiastic AI/ML Developer with 3+ years of relevant experience in machine learning and artificial intelligence. The candidate should be well-versed in designing and developing intelligent systems and have a solid grasp of data handling and model deployment. Key Responsibilities Develop and implement machine learning models tailored to business needs. Develop and fine-tune Generative AI models (e.g., LLMs, diffusion models, VAEs) using platforms like Hugging Face, LangChain, or OpenAI. Conduct data collection, cleaning, and pre-processing for model readiness. Train, test, and optimize models t...

We are seeking a skilled Machine Learning Engineer to design, build, and deploy scalable ML systems that power intelligent features and data-driven decision-making. You will work at the intersection of data science and software engineeringtransforming prototypes into production-ready systems while ensuring reliability, performance, and fairness. Key Responsibilities Data Engineering & Preparation: Collect, clean, and preprocess structured and unstructured data from multiple sources. Build scalable data pipelines for feature extraction, validation, and transformation. Implement monitoring for data quality and consistency. Model Development: Select and implement machine learning algorithms and...

As a leading digital transformation firm with an 18-year legacy of excellence, Sundew is seeking an AI Engineer to contribute to designing, building, and deploying AI-driven solutions using ML frameworks, programming expertise, and cloud platforms to drive innovation and deliver transformative value to global clients. Key Responsibilities: - Develop and deploy machine learning and deep learning models. - Collaborate with data engineers to prepare and optimize datasets. - Build scalable model training and inference pipelines. - Evaluate and fine-tune model performance. - Integrate AI solutions into products and internal systems. - Stay updated with the latest AI research and tools. Required S...