484 Kubeflow Jobs - Page 7

We are seeking a highly skilled Senior AI/ML Engineer with deep expertise in Artificial Intelligence, Machine Learning, and Large Language Models (LLMs). The ideal candidate will have hands-on experience in building, fine-tuning, and deploying production-grade AI models with a focus on Generative AI, MLOps, and scalable real-time inference systems. Key Responsibilities; Design, develop, and deploy AI/ML models with a strong emphasis on applied problem-solving. Work on Generative AI, LLMs, RAG pipelines, and prompt engineering to build next-gen AI solutions. Implement MLOps automation for end-to-end model lifecycle management using tools like MLflow, Kubeflow, or SageMaker. Optimize training ...

ViewTrade is a leading force in powering fintech and cross-border investing for financial services firms globally. With a focus on providing technology, support, and brokerage services, ViewTrade assists business innovators in launching or enhancing retail, fintech, wealth, or cross-border investing experiences. Over the past three decades, ViewTrade has collaborated with 300+ firms, ranging from technology startups to large banks, brokers, super apps, advisory, and wealth management, to create unique investment experiences tailored to meet customer demands. Operating in over 29 countries, ViewTrade's team brings decades of experience and expertise in financial services technology and servic...

Role Brief: We are seeking a skilled ML Ops Engineer to design, implement, and maintain scalable machine learning and large language model (LLM) pipelines in cloud environments, primarily using AWS services. This role is critical to ensuring the reliability, efficiency, and performance of ML systems in production. The ideal candidate will have hands-on experience with AWS tools such as SageMaker, Lambda, Bedrock, Batch with Fargate, and infrastructure components like RDS, DynamoDB, and SQS. You will be responsible for automating CI/CD workflows, managing auto-scaling APIs, and provisioning cloud resources to support high-performance ML workloads, including RAG systems. Primary Responsibiliti...

As a member of the Data Core Apps Team at Agoda, you will be part of a skilled, driven, and diverse team dedicated to making an impact in the travel industry. You will have the opportunity to work on cutting-edge technology and contribute to the development of first-class big data tools. Here is what you can expect in this role: Role Overview: - Work with a technology stack including Scala, Spark, Python, Hadoop, Kubeflow, SQL, S3 - Enhance scalability, stability, accuracy, speed, and efficiency of existing data systems - Design, build, test, and deploy new libraries, frameworks, or full systems while maintaining high standards of testing and code quality - Collaborate with experienced engin...

Overview Proficient MLOps engineer capable of independently managing production model deployments, pipelines, and infrastructure operations. Responsibilities: Deploy and maintain ML models in production using technologies like AWS SageMaker, MLflow, or Kubeflow. Manage pipelines and CI/CD workflows using tools like ArgoCD, Terraform, or similar infrastructure-as-code platforms. Support data workflows and ETL orchestration through technologies like Astronomer or Airflow. Collaborate with data science teams to transition models into production environments. Perform root cause analysis and remediation for incidents. Qualifications: 24 years of experience in MLOps or DevOps. Proficiency with one...

Position 1 : MLOps Engineer II (Mid-Level) Location : Remote (Night Shift 10 PM to 7 AM CST) Contract : 12 months (Renewable) Start Date : December 1, 2025 Role Overview We are seeking a proficient MLOps Engineer (Level II) with 2–4 years of experience in ML operations, pipelines, and production deployments . The ideal candidate will be hands-on, detail-oriented, and capable of working independently to ensure ML models are deployed, monitored, and maintained effectively. Responsibilities Deploy and maintain ML models in production (AWS SageMaker, MLflow, Kubeflow). Manage CI/CD pipelines and infrastructure as code (Terraform, ArgoCD). Support ETL/data workflows using Airflow or Astronomer. C...

As a Machine Learning Engineer at Tecblic, you will be part of a forward-thinking team that specializes in delivering AI-driven solutions to empower businesses in the digital age. Your primary responsibilities will include: - Research and Development: Design, develop, and fine-tune machine learning models across LLM, computer vision, and Agentic AI use cases. - Model Optimization: Fine-tune and optimize pre-trained models for improved performance, scalability, and minimal latency. - Computer Vision: Build and deploy vision models for tasks such as object detection, classification, OCR, and segmentation. - Integration: Collaborate closely with software and product teams to integrate models in...

As a Machine Learning Scientist I at Wayfair in Bangalore, India, your role will involve designing, building, deploying, and refining large-scale machine learning/AI models and algorithmic decision-making systems to solve real-world problems for customers. You will work cross-functionally with commercial stakeholders, engineers, analysts, and product managers to develop ML solutions that drive real-world impact. Collaboration with various infrastructure and ML platform teams is essential to develop production-grade services following best practices. Additionally, you will be responsible for building cutting-edge robust ML models that directly impact customers every day and identifying new op...

Role Overview: Welcome to TP, a global hub of innovation and empowerment, where you can maximize your impact. With a remarkable 10 billion annual revenue and a global team of 500,000 employees serving 170 countries in over 300 languages, TP leads in intelligent, digital-first solutions. As a globally certified Great Place to Work in 72 countries, the culture thrives on diversity, equity, and inclusion. Your unique perspective and talent are valued to complete the vision for a brighter, digitally driven tomorrow. Key Responsibilities: - Design data preprocessing pipelines for multi-modal datasets including text, audio, video, and images. - Engineer features and transformations for model train...

Role Overview: You will be responsible for designing, developing, and deploying AI/ML models and Generative AI solutions to enhance enterprise applications such as CRM, ERP, CX, and Finance. You will collaborate with product and platform teams to identify opportunities for AI-driven automation, insights, and personalization. Additionally, you will fine-tune and optimize Large Language Models (LLMs) and other ML models for enterprise use cases, develop APIs and microservices to expose AI capabilities, and ensure models meet accuracy, performance, scalability, and compliance requirements. Key Responsibilities: - Design, develop, and deploy AI/ML models and Generative AI solutions for enterpris...

You are a Senior Python Developer with expertise in AI/ML frameworks, data engineering, and scalable application development. You will be working on high-velocity AI/ML projects involving predictive analytics, recommendation engines, and generative AI platforms. Your responsibilities include: - Design & Develop: Building robust Python-based applications for AI/ML, data processing, and automation. - Model Integration: Implementing, fine-tuning, and deploying ML/DL models using TensorFlow, PyTorch, Scikit-learn, Hugging Face. - Data Engineering: Working with structured/unstructured datasets, building pipelines (ETL, real-time streaming), and optimizing data processing. - Fast Iterations: Deliv...

As a ML/Dev Ops Engineer at DHI Consultancy, you will be responsible for: - Having 5 to 10 years of experience in ML Engineering, MLOps, or DevOps roles with a focus on machine learning systems. - Being an immediate joiner, able to start immediately or within a very short notice period. - Demonstrating expert-level proficiency with mlFlow, Seldon, and Kubeflow MLOps tools. - Possessing strong practical experience with Databricks and Tecton (or similar feature stores) for Data & Feature Engineering. - Having deep knowledge of AWS services for computing, storage, networking, and security for Cloud & Infrastructure. - Showing proven ability to build and manage automated pipelines using Jenkins ...

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India . Minimum qualifications: Bachelor's degree in Computer Science, or equivalent practical experience. 6 years of experience with software development in one or more programming languages (e.g., Python, C++, Java). Experience in one or more areas of Artificial Intelligence/Machine Learning, such as: Deep Learning, Natural Language Processing (NLP), Computer Vision, Recommendation Systems, Reinforcement Learning, Large Language Models (LLMs), or related fields. Preferred qualifications: 2 years of experience in buildin...

Weave is looking for engineers hungry for fun challenges who can join our self-empowered teams and contribute in both technical and non-technical ways. You will be joining a team of talented developers that share a common interest in distributed backend systems, data, scalability, and continued development. You will get a chance to apply these, and other skills, to new and ongoing projects to make machine learning more approachable, data more available, and easier to discover and use by helping design how teams build out AI powered features at Weave. Our teams are cross-functional agile teams composed of a product owner, backend and frontend devs and devops. Teams are highly autonomous with ...

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our 15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their ca...

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia se...

The role of an Engineering Manager at Canonical As an Engineering Manager at Canonical, you must be technically strong, but your main responsibility is to run an effective team and develop the colleagues you manage. You will develop and review code as a leader, while at the same time staying aware of that the best way to improve the product is to ensure that the whole team is focused, productive and unblocked. You are expected to help them grow as engineers, do meaningful work, do it outstandingly well, find professional and personal satisfaction, and work well with colleagues and the community. You will also be expected to be a positive influence on culture, facilitate technical delivery, a...

Ciklum is looking for a Data Engineer to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Data Engineer, become a part of a cross-functional development team who is working with GenAI solutions for digital transformation across Enterprise Products. The prospective team you will be working with is responsible for the design, development, and deploym...

TRIARQ Health is a Physician Practice Services company that partners with doctors to run modern patient-centered practices so they can be rewarded for delivering high-value care. TRIARQ's?Physician-led partnerships simplify practices transition to value-based care by combining our proprietary, cloud-based practice, care management technology platform, and patient engagement services to help doctors focus on better outcomes.?? TRIARQ Health is looking for an experienced Machine Learning Engineer to lead the development and deployment of ML models that power intelligent products and insights. You will collaborate with teams across Data Science, Engineering, and Product to build solutions that ...

• Proficiency with Python (Pandas, NumPy), SQL & Java • Experience with LLMs, Lang Chain, & Generative AI technologies • Familiarity with ML frameworks (TensorFlow, PyTorch) & data engineering tools (Spark, Kafka) • Build ML, NLP & recommender models Required Candidate profile • Understanding of key data engineering concepts like data lakes, columnar formats, ETL tools, & BI tools • ML, NLP, Recommender system, personalization, Segmentation, microservice architecture & API

Director Data Science and AI Location: Mumbai or Bangalore About Traya Traya is a health-tech company that treats hair loss end-to-end through a personalized program combining dermatology, Ayurveda, nutrition, and behavioral science. We own the entire pathway assessment, regimen design, coaching, refills, and protocol adjustments powered by an adherence engine and outcomes data that improve results over time. As Traya scales into an omnichannel health platform (web, app, clinics, tele-coaching), data science is the engine powering personalization, retention, and efficiency . Why This Role Exists This is a hands-on builder role for a leader who wants to take models from notebook to production...

As an MLOps Engineer at Fractal Analytics, you will be tasked with collaborating with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models. Your responsibilities will include: - Enabling model tracking, model experimentation, and model automation - Developing scalable ML pipelines - Building MLOps components in the machine learning development lifecycle using Model Repository such as MLFlow or Kubeflow Model Registry - Utilizing Machine Learning Services like Kubeflow, DataRobot, HopsWorks, Dataiku, or any relevant ML E2E PaaS/SaaS - Working across all phases of the model development lifecycle to construct MLOPS components - Establishing the kno...

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 onboa...

You will be responsible for designing, developing, and deploying machine learning models for various use cases including classification, regression, NLP, CV, etc. Your duties will also involve preprocessing, cleaning, and transforming large datasets for training and testing purposes. Additionally, you will conduct model evaluation, performance tuning, and error analysis to ensure optimal model performance. Your role will require you to collaborate effectively with data engineers, product managers, and business stakeholders to deliver intelligent solutions. You will be expected to implement and manage scalable ML pipelines using tools like MLflow, Airflow, or Kubeflow. Working experience with...

As a Machine Learning Engineer, you will be responsible for designing, developing, deploying, and maintaining scalable ML solutions in a cloud-native environment. Your key responsibilities will include: - Designing and implementing machine learning models and pipelines using AWS SageMaker and related services. - Developing and maintaining robust data pipelines for training and inference workflows. - Collaborating with data scientists, engineers, and product teams to translate business requirements into ML solutions. - Implementing MLOps best practices including CI/CD for ML, model versioning, monitoring, and retraining strategies. - Optimizing model performance and ensuring scalability and r...