281 Kubeflow Jobs - Page 5

As a Software Engineer - Backend (Python) with over 7 years of experience, you will be based in Hyderabad and play a crucial role in developing the backend components of the GenAI Platform. Your responsibilities will include designing and constructing backend features for the platform on AWS, collaborating with cross-functional teams spread across different locations, and participating in an on-call rotation for managing production incidents. To excel in this role, you must possess the following skills: - A minimum of 7 years of professional experience in backend web development using Python. - Proficiency in AI, RAG, DevOps, and Infrastructure as Code (IaC) tools like Terraform and Jenkins....

Nair Systems, is a DIFC based, boutique leading edge technology consulting and professional services firm focusing on Digital Banking, Artificial Intelligence, Big Data & Data Analytics, Cyber Security, Blockchain and Cryptocurrency and Robotic Process Automation. Nair Systems is currently looking for AI Solutions Architect Lead for our UAE operations with the following Skill set and terms & conditions. Skill Sets : Key Responsibilities: Lead the architecture, design, and end-to-end delivery of complex AI/ML solutions. Define and implement AI strategy in alignment with enterprise goals and digital transformation initiatives. Translate business requirements into scalable and secure AI system ...

You will work as a Machine Learning Ops Engineer at Netsmart, contributing to the design, implementation, and maintenance of ML pipelines for model training, validation, and deployment. Your role involves automating model deployment processes using CI/CD pipelines and containerization technologies. You will be responsible for monitoring model performance, data drift, and system health in production environments, collaborating with data scientists to operationalize machine learning models and algorithms. Additionally, you will implement version control for models, datasets, and ML experiments using MLOps tools, optimize ML infrastructure for scalability, reliability, and cost-effectiveness, a...

Your IT Future, Delivered. Senior Software Engineer (AI/ML Engineer) With a global team of 5600+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions. We work beyond global borders and push boundaries across all dimensions of logistics. You can leave your mark shaping the technology backbone of the biggest logistics company of the world. All our offices have earned #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences. Digitalization. Simply delivered. At DHL IT Services, we are designing, building and running IT solutions for the whole DPDHL global...

Do you want to help solve the world&aposs most pressing challenges Feeding the world&aposs growing population and slowing climate change are two of the world&aposs greatest challenges. AGCO is a part of the solution! Join us to make your contribution. As a Senior MLOps Engineer within the AI Platform Engineering team, you will help design, build, and scale the foundational capabilities that power AI across our enterprise. Youll work at the intersection of machine learning, software engineering, and DevOps, enabling AI delivery teams to reliably develop, deploy, and monitor models in production. Your Impact Design and implement robust, scalable MLOps pipelines to automate the end-to-end machi...

Do you want to help solve the world&aposs most pressing challenges Feeding the world&aposs growing population and slowing climate change are two of the world&aposs greatest challenges. AGCO is a part of the solution! Join us to make your contribution. As an AI Platform Architect, you will define and evolve the architecture of AGCOs AI platform, designing the technical foundation that empowers teams to deliver AI solutions efficiently, securely, and with confidence. Your work will shape how ML models move from experimentation to production, how AI platform services are consumed across teams, and how platform capabilities scale to support advanced use cases on cloud and edge deployments, inclu...

Greetings ! One our our client TOP MNC Giant looking for Data Scientist Important Notes: Only person who can join immediately or within 7 days ONLY APPLY Base Locations: Gurgaon and Bengaluru (hybrid setup 3 days work from office). Role: Data Scientist Exp: 4 to 8 Years Immediate Joiners Only Skills (must have) ? Bachelors or masters degree in computer science, Data Science, Engineering, or a related field. ? Strong programming skills in languages such as Python, SQL etc. ? Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as Scikit-learn, TensorFlow, PyTorch etc. ? Experience in ETL and Datawarehouse tools such as Azure Data Factory...

The role of warehousing and logistics systems is becoming increasingly crucial in enhancing the competitiveness of various companies and contributing to the overall efficiency of the global economy. Modern intra-logistics solutions integrate cutting-edge mechatronics, sophisticated software, advanced robotics, computational perception, and AI algorithms to ensure high throughput and streamlined processing for critical commercial logistics functions. Our Warehouse Execution Software is designed to optimize intralogistics and warehouse automation by utilizing advanced optimization techniques. By synchronizing discrete logistics processes, we have created a real-time decision engine that maximi...

You should possess a minimum of 7-10 years of industry experience, out of which a minimum of 5 years should have been in machine learning roles. Your proficiency in Python and popular ML libraries such as TensorFlow, PyTorch, and Scikit-learn should be advanced. Furthermore, you should have hands-on experience in distributed training, model optimization including quantization and pruning, and inference at scale. Experience with cloud ML platforms like AWS (SageMaker), GCP (Vertex AI), or Azure ML is essential. It is expected that you are familiar with MLOps tooling such as MLflow, TFX, Airflow, or Kubeflow, and data engineering frameworks like Spark, dbt, or Apache Beam. A solid understandin...

You are a highly skilled and motivated Technical Lead who will be joining our growing team. Your role will involve leading and delivering complex technical projects in areas such as AI/ML, Full Stack Development, and Cloud-based solutions. Your responsibilities will include overseeing the end-to-end execution of multiple software development projects, focusing on AI/ML initiatives and products to ensure timely delivery and high quality. You will be responsible for architecture design, technical planning, and code quality across the team, specifically for scalable AI/ML solutions, robust data pipelines, and integration of models into production systems. Collaboration with stakeholders, both i...

????Were Hiring: ML Ops / Data Engineer (Minimum 5 Years Experience)??? Are you a data engineering professional withat least 5 years of experiencein building scalable data pipelines and deploying machine learning models Were looking for a talentedML Ops / Data Engineerto join our team inNoida! ????What Youll Do: Design and maintain robust data pipelines for large-scale datasets Collaborate with data scientists to deploy and monitor ML models in production Develop and optimize ETL processes usingAWS Glue,PySpark, andSQL Automate ML workflows using tools likeKubeflow,MLflow, orTFX Ensure model versioning, logging, and performance tracking Work with cloud platforms (AWS preferred) and modern da...

Job Summary Liaising with coworkers and clients to elucidate the requirements for each task. Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed. Reformulating existing frameworks to optimize their functioning. Testing such structures to ensure that they are fit for use. Preparing raw data for manipulation by data scientists. Detecting and correcting errors in your work. Ensuring that your work remains backed up and readily accessible to relevant coworkers. Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs. Experience with Azure ADLS, Apache Parquet, Iceberg, Kubeflow and Airflo...

You are an experienced Software Engineer specializing in Machine Learning with at least 2+ years of relevant experience. In this role, you will be responsible for designing, developing, and optimizing machine learning solutions and data systems. Your proven track record in implementing ML models, building scalable systems, and collaborating with cross-functional teams will be essential in solving complex challenges using data-driven approaches. As a Software Engineer - Machine Learning, your primary responsibilities will include designing and implementing end-to-end machine learning solutions, building and optimizing scalable data pipelines, collaborating with data scientists and product tea...

As a Senior Machine Learning Engineer with over 10 years of experience, you will play a crucial role in designing, building, and deploying scalable machine learning systems in production. In this role, you will collaborate closely with data scientists to operationalize models, take ownership of ML pipelines from end to end, and enhance the reliability, automation, and performance of our ML infrastructure. Your primary responsibilities will include designing and constructing robust ML pipelines and services for training, validation, and model deployment. You will work in collaboration with various stakeholders such as data scientists, solution architects, and DevOps engineers to ensure alignm...

You should have at least 2-7 years of experience in software engineering and ML development. Proficiency in Python and ML libraries like Scikit-learn, TensorFlow, or PyTorch is essential. Your responsibilities will include building and evaluating models, data preprocessing, and feature engineering. It is important to have a good understanding of REST APIs, Docker, Git, and CI/CD tools. A strong foundation in software engineering principles such as data structures, algorithms, and design patterns is required. Hands-on experience with MLOps platforms like MLflow, TFX, Airflow, and Kubeflow is preferred. Exposure to NLP, large language models (LLMs), or computer vision projects will be benefici...

As an AI / ML Engineer, you will be responsible for utilizing your expertise in the field of Artificial Intelligence and Machine Learning to develop innovative solutions. You should hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or a related field. With a minimum of 6 years of experience in AI/ML, you are expected to demonstrate proficiency in Python and various ML libraries such as scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn. In this role, you will need a strong understanding of machine learning algorithms and deep learning architectures including CNNs, RNNs, and Transformers. Hands-on experience with TensorFlow, Py...

You are a talented and driven Machine Learning Engineer with 2-5 years of experience, looking to join a dynamic team in Chennai. Your expertise lies in machine learning principles and hands-on experience in building, deploying, and managing ML models in production environments. In this role, you will focus on MLOps practices and orchestration to ensure robust, scalable, and automated ML pipelines. Your responsibilities will include designing, developing, and implementing end-to-end MLOps pipelines for deploying, monitoring, and managing machine learning models in production. You will use orchestration tools such as Apache Airflow, Kubeflow, AWS Step Functions, or Azure Data Factory to automa...

???? About Es Magico Es Magico is an AI-first enterprise transformation organisation that goes beyond consulting we deliver scalable execution across sectors such as BFSI, Healthcare, Entertainment, and Education. With offices in Mumbai and Bengaluru, our mission is to augment the human workforce by deploying bespoke AI employees across business functions, innovating swiftly and executing with trust. We also partner with early-stage startups as a venture builder, transforming 0 ? 1 ideas into AI-native, scalable products. ???? Role: MLOps Engineer ??? Location: Bengaluru (Hybrid) ??? Experience: 14 years ??? Joining: Immediate ???? Key Responsibilities Design, develop, and maintain scalable ...

About Biz2X Biz2X is the leading digital lending platform, enabling financial providers to power growth with a modern omni-channel experience, best-in-class risk management tools and a comprehensive yet flexible Servicing engine. The company partners with financial institutions to support their Digital Transformation efforts with Biz2Xs digital lending platform. Biz2X solutions not only reduces operational expenses, but accelerates lending growth by significantly improving client experience, reducing total turnaround time, and equipping the relationship managers with powerful monitoring insights and alerts Read Our Latest Press Release : Press Release - Biz 2X Job Overvi ew: We are seeking f...

Company Description About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environmenton-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manag...

About the Role We are looking for an experienced DevOps Engineer to join our engineering team. This role involves setting up, managing, and scaling development, staging, and production environments both on AWS cloud and on-premise (open source stack) . You will be responsible for CI/CD pipelines, infrastructure automation, monitoring, container orchestration, and model deployment workflows for our enterprise applications and AI platform. Key Responsibilities Infrastructure Setup & Management Design and implement cloud-native architectures on AWS and be able to manage on-premise open source environments when required . Automate infrastructure provisioning using tools like Terraform or CloudFo...

As a Senior Systems Engineer specializing in Data DevOps/MLOps, you will play a crucial role in our team by leveraging your expertise in data engineering, automation for data pipelines, and operationalizing machine learning models. This position requires a collaborative professional who can design, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment. You will be responsible for building and maintaining infrastructure for data processing and model training using cloud-native tools and services. Your role will involve automating processes for data validation, transformation, and workflow orchestration, ensuring seamless integration of ML models into pr...

As a Senior AI/ML Engineer/Lead at our company located in Mohali, you will play a crucial role in leading the design, architecture, and delivery of complex AI/ML solutions. With over 8 years of experience, you will be responsible for developing and implementing machine learning models across various domains like NLP, computer vision, recommendation systems, classification, and regression. Your expertise will be utilized to integrate Large Language Models (LLMs) such as GPT, BERT, LLaMA, and other state-of-the-art transformer architectures into our enterprise-grade applications to drive innovation. Your key responsibilities will include selecting and implementing ML frameworks, tools, and clo...

We are seeking a talented Systems Architect (AVP level) with specialized knowledge in designing and expanding Generative AI solutions for production environments. In this pivotal position, you will collaborate across various teams including data scientists, ML engineers, and product leaders to mold enterprise-level GenAI platforms. Your responsibilities will include designing and scaling LLM-based systems such as chatbots, copilots, RAG, and multi-modal AI, architecting data pipelines, training/inference workflows, and integrating MLOps. You will be tasked with ensuring that systems are modular, secure, scalable, and cost-effective. Additionally, you will work on model orchestration, agentic...

You are an experienced Senior DevOps/MLOps Engineer who will be responsible for leading and managing a high-performing engineering team. Your main focus will be on overseeing the deployment and scaling of machine learning models and backend services using modern DevOps and MLOps practices. It is essential that you have proficiency in FastAPI, Docker, Kubernetes, and CI/CD. Your key responsibilities will include guiding and managing a team of DevOps/MLOps engineers, optimizing, containerizing, and deploying FastAPI applications at scale, managing infrastructure using tools like Terraform or Helm, handling multi-environment Kubernetes clusters (GKE, EKS, AKS, or on-prem), managing ML model lif...