484 Kubeflow Jobs - Page 8

You will be responsible for building the machine learning production system (MLOps) to help large companies transition into AI-driven organizations. As an MLOps Engineer, you will collaborate with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models. Your key responsibilities will include: - Enabling model tracking, experimentation, and automation - Developing scalable ML pipelines - Building MLOps components using Model Repository (e.g., MLFlow, Kubeflow Model Registry) and Machine Learning Services (e.g., Kubeflow, DataRobot, HopsWorks, Dataiku) - Working across all phases of the Model development life cycle to build MLOps components - Buildin...

Senior ASR/TTS Specialist - AI Agent Integration Expert Company: EXL Service Type: Full-time Experience: 3+ years Position Summary We seek an exceptional Senior ASR/TTS Specialist to lead speech AI initiatives and integrate advanced speech technologies with AI agent frameworks. This role focuses on fine-tuning ASR/TTS models, implementing MLOps best practices, and building production-ready speech AI systems powering next-generation conversational AI agents. Key Responsibilities Speech AI Model Development & Integration Model Fine-tuning : Customize state-of-the-art ASR/TTS models for domain-specific applications with 300ms latency Speech-to-Speech Systems : Build end-to-end S2S pipelines usi...

About The Role Grade Level (for internal use): 12 Lead Agentic AI Developer Location: Gurgaon, Hyderabad and Bangalore Job Description A Lead Agentic AI Developer will drive the design, development, and deployment of autonomous AI systems that enable intelligent, self-directed decision-making. Their day-to-day operations focus on advancing AI capabilities, leading teams, and ensuring ethical, scalable implementations. Responsibilities AI System Design and Development: Architect and build autonomous AI systems that integrate with enterprise workflows, cloud platforms, and LLM frameworks. Develop APIs, agents, and pipelines to enable dynamic, context-aware AI decision-making. Team Leadership a...

Role Overview As a Junior Data Scientist in the Data & AI Delivery team, you will work closely with senior data scientists and delivery leads to design, develop, and deploy AI/ML solutions that address real-world business problems. This role is ideal for candidates who are passionate about data science, eager to learn cutting-edge AI technologies, and ready to grow into a future technical leader. Key Responsibilities Solution Development & Implementation Assist in building end-to-end data science workflows including data ingestion, preprocessing, modeling, and deployment. Assist in deploying models into applications via APIs for real-world use cases Develop, test, and validate machine learni...

Summary Gainwell is seeking LLM Ops Engineers and ML Ops Engineers to join our growing AI/ML team. This role is responsible for developing, deploying, and maintaining scalable infrastructure and pipelines for Machine Learning (ML) models and Large Language Models (LLMs). You will play a critical role in ensuring smooth model lifecycle management, performance monitoring, version control, and compliance while collaborating closely with Data Scientists, DevOps. Your role in our mission Core LLM Ops Responsibilities: Develop and manage scalable deployment strategies specifically tailored for LLMs (GPT, Llama, Claude, etc.). Optimize LLM inference performance, including model parallelization, qua...

You will be joining Bank of America as an AI/ML Platform Engineer in the Data Analytics Strategy platform and decision tool team. Your role will involve architecting and building a modern, scalable, and secure Data Science and Analytical Platform. Your responsibilities will include: - Leading the architecture and design for building scalable, resilient, and secure distributed applications, ensuring compliance with organizational technology guidelines and security standards. - Contributing to hands-on coding, building core components, APIs, and microservices while maintaining high code quality and performance. - Integrating secure development practices and aligning with CI/CD best practices f...

As a Technical Lead AI, you will be responsible for driving the design, development, and deployment of AI-driven solutions across multiple product lines. You should have a proven track record of supporting AI-embedded products, leading Gen AI initiatives, and establishing best practices in data pipelines, ML model lifecycle, LLMs, and MLOps. Your role will involve collaborating with cross-functional teams to architect scalable AI systems, mentor engineers, and ensure successful integration of AI capabilities into business applications. - Lead the end-to-end design and implementation of AI/ML and GenAI solutions, including Retrieval-Augmented Generation (RAG) pipelines. - Partner with product...

Role Overview: At PwC, your role in data and analytics will involve leveraging data to drive insights and make informed business decisions. You will utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. Specifically, in data analysis at PwC, you will focus on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Your responsibilities will include leveraging skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. Key Responsibilities: - Develop and implement MLOps strategies tailored for Generative ...

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...

As a DataOps Engineer, your primary responsibility will be designing and maintaining scalable ML model deployment infrastructure using Kubernetes and Docker. You will need to implement CI/CD pipelines for ML workflows, ensure adherence to security best practices, and set up monitoring tools for tracking system health, model performance, and data pipeline issues. Collaboration with cross-functional teams to optimize the end-to-end lifecycle of data products and identify performance bottlenecks and data reliability issues in the ML infrastructure will also be part of your role. Key Responsibilities: - Design and maintain scalable ML model deployment infrastructure using Kubernetes and Docker -...

As an AI/ML Engineer, you will have the responsibility to design, train, and deploy AI/ML models, including offline deployment for enterprise use cases. You will work on integrating AI models into enterprise applications using cloud-native architectures. Additionally, you will implement data pipelines, feature engineering, and model evaluation frameworks. Your role will also involve optimizing models for performance, scalability, and cost-efficiency while ensuring security, compliance, and governance in AI solutions. Furthermore, you will be required to train and mentor team members on AI/ML concepts, tools, and best practices, and collaborate with product and engineering teams to deliver AI...

Role Overview: As a Machine Learning Engineer, you will be responsible for designing, developing, deploying, and maintaining scalable ML solutions in a cloud-native environment. Your role will involve working with a team of data scientists, engineers, and product teams to translate business requirements into effective ML solutions. Additionally, you will be implementing MLOps best practices to ensure the optimization of model performance and scalability in production environments. Key Responsibilities: - Design and implement machine learning models and pipelines using AWS SageMaker and related services. - Develop and maintain robust data pipelines for training and inference workflows. - Coll...

Role Overview: As a Senior Machine Learning Engineer in Healthcare Revenue Cycle Management (RCM) at BigRio, you will work on cutting-edge projects with a team of top-tier professionals. BigRio is a remote-based technology consulting firm specializing in delivering advanced software solutions like custom development, cloud data platforms, AI/ML integrations, and data analytics. You are a problem-solver who enjoys owning high-impact initiatives and is excited about innovation in machine learning. Your ability to communicate across technical and non-technical audiences and your motivation to improve healthcare systems through data-driven solutions are crucial. Key Responsibilities: - Identify ...

Software Developer Key Responsibilities Design, develop, and deploy AI/ML solutions with a focus on Generative AI and LLMs . Fine-tune, prompt-engineer, and optimize LLMs for domain-specific tasks. Leverage frameworks such as LangChain, LlamaIndex, or similar for building modular AI applications. Integrate LLMs with APIs, databases, vector stores, and enterprise applications. Evaluate and implement model deployment strategies (on-prem, cloud, serverless, or containerized environments). Collaborate with cross-functional teams (data engineers, product managers, software engineers) to deliver end-to-end AI solutions. Stay updated with the latest advancements in AI, ML, and GenAI research and pr...

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...

About Costco Wholesale Costco Wholesale is a multi-billion-dollar global retailer with warehouse club operations in eleven countries. They provide a wide selection of quality merchandise, plus the convenience of specialty departments and exclusive member services, all designed to make shopping a pleasurable experience for their members. About Costco Wholesale India At Costco Wholesale India, we foster a collaborative space, working to support Costco Wholesale in developing innovative solutions that improve members experiences and make employees jobs easier. Our employees play a key role in driving and delivering innovation to establish IT as a core competitive advantage for Costco Wholesale....

As a Machine Learning Engineer, you will be responsible for designing and implementing scalable machine learning models throughout the entire lifecycle - from data preprocessing to deployment. Your role will involve leading feature engineering and model optimization efforts to enhance performance and accuracy. Additionally, you will build and manage end-to-end ML pipelines using MLOps practices, ensuring seamless deployment, monitoring, and maintenance of models in production environments. - Lead feature engineering and model optimization efforts - Build and manage end-to-end ML pipelines using MLOps practices - Collaborate with data scientists and product teams to understand business requir...

Mandatory Skills : Databricks, mlFlow, Seldon, AWS, Kubeflow, Tecton, Jenkins Skill to Evaluate : Databricks,-mlFlow,-Seldon,-AWS,-Kubeflow,-Tecton,-Jenkins,-Graffana-,-Python-, Location : Bengaluru Job Description Focus on ML model load testing and creation of E2E test cases Evaluate models scalability and latency by running suites of metrics under different RPS and creating and automating the test cases for individual models, ensuring a smooth rollout of the models Enhance monitoring of model scalability, and handle incident of increased error rate Collaborate with existing machine learning engineers, backend engineers and QA test engineers from cross-functional teams Advanced degree (Mast...

Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Our Security Software Eng...

About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech. The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally.Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States. It start...

Job Title: Data/ML Platform Engineer Location: Gurgaon, Pune, Bangalore, Chennai, Bhopal, Jaipur, Hyderabad (Work from office) Notice Period: ImmediateiSource Services is hiring for one of their client for the position of Data/ML Platform Engineer. As a Data Engineer you will be relied on to independently develop and deliver high-quality features for our new ML Platform, refactor and translate our data products and finish various tasks to a high standard. Youll be part of the Data Foundation Team, which focuses on creating and maintaining the Data Platform for Marktplaats. 5 years of hands-on experience in using Python, Spark,Sql. Experienced in AWS Cloud usage and management. Experience wit...

Role Overview: Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, the mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. In collaboration with leading academics, industry experts, and highly skilled engineers, you will equip customers to generate sophisticated new insights from big data. Join the team in Bangalore as a Data Science Advisor to do the best work of your career and make a profound social impact. Key Responsibilities: - Play a key rol...

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence. Role: Data Scientist Experience: 3-4 Years Location: Hyderabad (Hybrid) Tezo is seeking a highly motivated Data Scientist / AI Engineer with 34 years of professional experience in data science, machine learning, and AI solution development. In this role, you will design, develop, and deploy end-to-end data-driven solutions, working closely with cross-functional teams to solve complex business problems using advanced analytics and AI. Why Join Our AI/ML Pr...

Expleo is the home of bold and reliable minds. With more than 50 years of experience in developing complex products, optimising manufacturing processes, and ensuring the quality of information systems, Expleo boasts an extensive global footprint, powered by 19,000 highly skilled experts delivering value in 30 countries. Our efforts in creating a supportive and inclusive workplace in India have earned us some key recognitions: Great Place to Work certification for building a supportive, engaging environment. Progressive Place to Work, by ET Now, for our dedication to innovation and inclusive workplace policies. Best Organizations for Women, by ET Now, for empowering women by providing equal o...

As an MLOps Engineer, your role will involve researching and implementing MLOps tools, frameworks, and platforms for Data Science projects. You will work on activities to enhance MLOps maturity within the organization by introducing a modern, agile, and automated approach to Data Science. Additionally, you will conduct internal training and presentations on the benefits and usage of MLOps tools. Key Responsibilities: - Model Deployment, Model Monitoring, Model Retraining - Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline - Drift Detection, Data Drift, Model Drift - Experiment Tracking - MLOps Architecture - REST API publishing Qualifications Required: - Wide ...