482 Kubeflow Jobs

Role Overview: As a skilled Cloud Specialist with expertise in Machine Learning, you will be responsible for designing, implementing, and managing cloud-based machine learning solutions to drive business value. Collaborating with data scientists and engineers, your primary focus will be on optimizing machine learning workflows, enhancing data pipelines, and ensuring the reliability and performance of machine learning applications. Additionally, you will provide insights and guidance on best practices for leveraging cloud services to maximize the potential of machine learning initiatives. Key Responsibilities: - Design and implement scalable architecture for machine learning applications in c...

We are seeking an experienced GCP Architect specializing in BigQuery, AI, and Machine Learning to design and implement scalable, data-driven solutions on Google Cloud Platform. The ideal candidate will have a strong background in data architecture, advanced analytics, and modern cloud-based AI/ML frameworks, enabling intelligent insights and predictive capabilities for enterprise systems. Roles & Responsibilities Lead the architecture, design, and deployment of scalable data and AI/ML solutions on Google Cloud Platform (GCP). Architect and implement data pipelines, data lakes, and data warehouses using BigQuery, Dataflow, Dataproc, and Pub/Sub. Collaborate with business and technical stakeho...

Data AI/ML Scientist Location: Hyderabad (Work from Office) Experience: 17+ years relevant experience Education: BE / BTech / MCA mandatory; MTech/PhD in AI/ML, Statistics, or Applied Math preferred Role Overview We are seeking a highly skilled AI/ML Scientist to lead enterprise-grade AI/ML research and deployment. This role spans statistical modeling, classical ML, deep learning, and cutting-edge Generative AI to solve real-world challenges. Key Responsibilities Design, build, and deploy models across classical ML, statistical reasoning, deep learning, NLP, CV, GenAI, and Agentic AI . Build statistical reasoning models for forecasting, inference, and optimization. Conduct rigorous experimen...

As a Senior Data Scientist / Machine Learning Engineer, your role will involve designing, building, and deploying advanced machine learning and generative AI solutions to drive business value. This position requires a blend of deep technical expertise in data science, software engineering, and MLOps, along with strategic thinking. **Key Responsibilities:** - Design, develop, and deploy advanced machine learning and statistical models to address complex business problems. - Build, optimize, and maintain end-to-end ML pipelines, including data ingestion, preprocessing, feature engineering, model training, evaluation, and production deployment. - Lead Generative AI initiatives, leveraging LLMs,...

Expert-level Python programming, software design & data structures. Exp. deploying ML/LLM models into production. Hands-on with MLOps/GenAIOps stacks (MLflow, Kubeflow, SageMaker, LangChain, AutoGen, LangGraph, CrewAI) & their real-world application. Required Candidate profile Sr.. Python Developer lead 8–10 yrs of exp. who can not only build, deploy scalable Python and ML/GenAI solutions lead & mentor a technical team. end-to-end project delivery, ensure high engineering

Quick Heal Technologies Ltd . is India's most trusted name in cybersecurity innovation. With a legacy of over 30 years, we've grown from a garage-born antivirus start-up to a globally respected, publicly listed cybersecurity product company with a market capitalization of INR 2,500 Cr and revenues approaching INR 400 Cr. Quick Heal has transformed from protecting individual users under the Quick Heal brand to safeguarding businesses of every size with our enterprise-grade Seqrite portfolio. Our mission - Innovate. Simplify. Secure. drives everything, we do. We are home to India's largest indigenous malware and threat research lab, and the creators of industry - first innovations like AntiFra...

Description Senior Data Scientist (Machine Learning Engineer) Role Overview We are seeking a highly skilled Senior Data Scientist / Machine Learning Engineer to design, build, and deploy advanced machine learning and generative AI solutions that drive business value. This role blends deep technical expertise with strategic thinking, requiring hands-on experience in data science, software engineering, and MLOps. Key Responsibilities Machine Learning & Data Science : Design, develop, and deploy advanced machine learning and statistical models to address complex business problems. Build, optimize, and maintain end-to-end ML pipelines, including data ingestion, preprocessing, feature engineering...

Job Description Experience Required: 8-10 years in IT, with a minimum of 8 years focused on AI/ML solutions architecture, development, and deployment. Key Responsibilities: Architect and design robust, large-scale AI/ML solutions across multiple domains, including Generative AI. Lead and oversee the complete machine learning lifecycle, encompassing data ingestion, feature engineering, model development, deployment, and continuous monitoring. Partner with business and technical stakeholders to translate requirements into scalable and efficient ML systems. Establish and enforce best practices, standards, and governance frameworks for ML pipelines, MLOps, and data platform management. Provide m...

One of our leading financial services client is expanding their AI vertical. They are looking for AI professionals who can design, build, and scale intelligent solutions for financial services applications such as risk scoring, fraud detection, and customer analytics. Depending on experience, you will either architect AI-driven systems end-to-end or develop, deploy, and monitor ML models within our production environment. Key Responsibilities For all levels: Design and implement scalable AI/ML solutions aligned with business objectives Translate business problems into measurable AI use cases Build and deploy models using modern ML frameworks and cloud services Good to Have - Ensure complianc...

We are looking for a Senior Manager-ML Ops to join our Technology team at Clarivate. You will get the opportunity to work in a cross-cultural work environment while working on the latest web technologies with an emphasis on user-centered design. About You (Skills & Experience Required) Bachelor's or master's degree in computer science, Engineering, or a related field. Atleast 10 years of experience including DevOps, machine learning operations and data engineering domain Proven experience in managing and leading technical teams. Strong understanding of MLOps practices, tools, and frameworks. Proficiency in data pipelines, data cleaning, and feature engineering is essential for preparing data...

Oracle Cloud Infrastructure blends the speed of a startup with the scale of an enterprise leader. Our Generative AI Service team builds advanced AI solutions that run on powerful cloud infrastructure tackling real-world, global challenges. In this role, you will: Design, build, and deploy cutting-edge machine learning and generative AI systems, with a focus on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search. Collaborate with scientists, engineers, and product teams to turn complex problems into scalable, cloud-ready AI solutions for enterprises. Develop models and services for decision support, anomaly detection, forecasting, recommendati...

Oracle Cloud Infrastructure blends the speed of a startup with the scale of an enterprise leader. Our Generative AI Service team builds advanced AI solutions that run on powerful cloud infrastructure tackling real-world, global challenges. In this role, you will: Design, build, and deploy cutting-edge machine learning and generative AI systems, with a focus on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search. Collaborate with scientists, engineers, and product teams to turn complex problems into scalable, cloud-ready AI solutions for enterprises. Develop models and services for decision support, anomaly detection, forecasting, recommendati...

Oracle Cloud Infrastructure blends the speed of a startup with the scale of an enterprise leader. Our Generative AI and AI Solutions Engineering team builds advanced AI solutions that run on powerful cloud infrastructure tackling real-world, global challenges. In this role, you will: Design, build, and deploy cutting-edge machine learning and generative AI systems, with a focus on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search. Collaborate with scientists, engineers, and product teams to turn complex problems into scalable, cloud-ready AI solutions for enterprises. Develop models and services for decision support, anomaly detection, fore...

Oracle Cloud Infrastructure blends the speed of a startup with the scale of an enterprise leader. Our Generative AI Service team builds advanced AI solutions that run on powerful cloud infrastructure tackling real-world, global challenges. In this role, you will: Design, build, and deploy cutting-edge machine learning and generative AI systems, with a focus on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search. Collaborate with scientists, engineers, and product teams to turn complex problems into scalable, cloud-ready AI solutions for enterprises. Develop models and services for decision support, anomaly detection, forecasting, recommendati...

Job Description We're AtkinsRalis, a world class Engineering Services and Nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. Created by the integration of long-standing organizations dating back to 1911, we are a world-leading professional services company dedicated to engineering a better future for our planet and its people. We deploy global capabilities locally to our clients and deliver unique end-to-end services across the whole life cycle of an asset including consu...

Job Overview The Applied AI Solutions Architect is a strategic role responsible for designing, implementing, and managing AI-driven solutions that align with business objectives. This position bridges technical expertise in artificial intelligence (AI) and machine learning (ML) with business strategy, ensuring scalable, ethical, and high-performing AI systems. The AI Solutions Architect collaborates with cross-functional teams to deliver innovative solutions, leveraging generative AI, cloud platforms, and modern architectures like Retrieval-Augmented Generation (RAG). Responsibilities Solution Design : Architect end-to-end AI/ML pipelines, including data ingestion, preprocessing, model train...

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position Who We Are At Roche, we are passionate about transforming patients lives, and we are bold in both decision and action - we believe that good business means a better world. That is why we come to work every single day. We commi...

As an AI/ML Engineer at our company, you will be responsible for designing, developing, and deploying ML models and AI-driven solutions. You will work onsite in Trichy and must be based in our Trichy office as remote work is not an option. Key Responsibilities: - Develop and deploy machine learning models and AI-based solutions. - Preprocess, clean, and analyze large datasets. - Optimize ML pipelines for scalability and efficiency. - Work with cloud platforms and MLOps tools for deployment and monitoring. - Collaborate with teams to integrate AI solutions into business workflows. - Stay updated with advancements in AI/ML technologies. Required Skills & Qualifications: - Bachelor's/Master's i...

At INDI, we're passionate about empowering individuals and businesses worldwide. Our cutting-edge recruiters connect leading companies with top talent, fostering a dynamic environment where innovation thrives. Join us in shaping the future of work. Overview of the role: The Solutions Engineer will play a key role in driving enterprise adoption of an advanced data and AI platform. This position involves architecting and implementing end-to-end solutions, engaging in technical discussions with clients, and ensuring seamless integration of AI technologies to accelerate customer success. Key responsibilities: - Collaborating with customers, partners, and prospects to design tailored data and AI ...

Role Overview: As an AI/ML Engineer, your primary responsibility will be to build, deploy, and scale Python applications along with AI/ML solutions. You will work closely with clients and software engineers to implement machine learning models and deploy them into production environments. Your expertise in Python programming and AI/ML frameworks will be crucial in developing intelligent solutions tailored to specific business requirements. Key Responsibilities: - Expertise in Python, with a deep understanding of Flask/FastAPI. - Proficient in server programming to implement complex business logic effectively. - Understanding of fundamental design principles for scalable applications. - Desig...

Role Overview: As an experienced and results-driven AI Developer, you will be responsible for developing, deploying, and optimizing AI and machine learning models to solve real-world business problems. Your collaboration with cross-functional teams will be crucial in delivering scalable and ethical AI solutions using state-of-the-art tools and technologies. Key Responsibilities: - Collaborate with data scientists and engineers to source, clean, and preprocess large datasets. - Perform feature engineering and data selection to improve model inputs. - Design, build, and validate machine learning and deep learning models, including: - Convolutional Neural Networks (CNNs) - Recurrent Neural Netw...

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank o...

We are looking for a passionate and skilled AI/ML Engineer with 24 years of experience to design, develop, and deploy machine learning models and intelligent automation solutions. You will work closely with data scientists, backend engineers, and product teams to integrate AI-driven functionalities into production systems. Design, develop, and deploy machine learning and deep learning models for real-world applications. Work with Python-based frameworks like TensorFlow, PyTorch, and Scikit-learn. Implement data preprocessing, feature engineering, and model optimization techniques. Collaborate with product and engineering teams to integrate models into production environments (APIs, microserv...

Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP) Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift. Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc. Ability to understand tools used by data scientist and experience with software development and test automation. Good understanding of advanced AI/ML algorithms & their applications Applications and Digital Automation Solutions, Low Code /No Code and Automation Platforms, designin...

Role: Data Science Engineer Required Technical Skill Set: Data Science & AI lifecycle Mgmt Tools: NumPy, pandas, TensorFlow, Minio, Pachyderm, Kubeflow, Jupyter Python, Java (SpringBoot), C Desired Experience Range: 6+ years Location of Requirement: Hyderabad Desired Competencies (Technical/Behavioral Competency) Must-Have 4+ years of experience in Data Science, ML & DL. Well versed with building Algorithms to predict Network Performance degradation. Expertise in Acumos AI and MLFlow which are platforms to manage and package ML lifecycle. Microservices, Cloud native technologies, Serverless Computing Cloud computing, SDN, NFV Docker, Kubernetes, Redhat Openshift, Kubeflow Strong development ...