484 Kubeflow Jobs - Page 9

To WhatsApp, 1. Job Title: Senior UI Developer Experience: 5+ Years Location : Pune Responsibilities: Develop and maintain dynamic and responsive web applications using Angular frameworks. The ideal candidate should also have proven experience in leading a team of developers, mentoring junior team members, and ensuring successful project delivery. Develop responsive web applications using Angular 1618 and TypeScript. Collaborate with UX/UI designers to ensure the technical feasibility of designs and implement visually appealing user interfaces. Participate in the full software development lifecycle, including requirement analysis, design, coding, testing, deployment, and support. Write clean...

Role Overview: At Elimai.ai, we are seeking a qualified Software Engineer with ML hands-on experience to join as an ML Backend Engineer. In this full-time hybrid role based in Chennai, you will have the flexibility to work remotely part of the time. As an ML Backend Engineer, you will be responsible for developing and maintaining backend architecture, implementing machine learning algorithms, ensuring efficient performance, and collaborating with front-end developers to integrate user-facing elements. Your role will involve building robust backend systems & APIs to deploy and scale ML solutions, working with cloud-native infrastructure, contributing to end-to-end product development, and col...

Role: GoLang development. Experience: 5 -10 Years Relevant Experience in Go Lang: 4+ Years Notice Period: Immediate Joiners Only Role & responsibilities 4+ Years in GoLang development. Kubeflow, MLFlow, AirFlow exp. Experience with cloud-native development, particularly AWS S3, KMS, and potentially VAST S3. Proficiency in containerization (Docker) and Kubernetes. Experience with ML infrastructure components (Model Registry, Feature Platforms, GPU scheduling). Languages: Java and Golang (mandatory). Reach us:If you are interested in this position and meet the above qualifications, please reach out to me directly at swati@cielhr.com and share your updated resume highlighting your relevant expe...

As a Lead Software Engineer Machine Learning, your role will involve driving the design, development, and deployment of advanced machine learning solutions. You will need to showcase strong leadership skills, deep technical expertise, and the ability to guide teams in solving complex, large-scale problems using cutting-edge ML technologies. Your responsibilities will include defining and leading the strategy and roadmap for ML systems and applications, architecting scalable machine learning systems, and collaborating with cross-functional teams to identify ML use cases and requirements. Mentoring junior engineers, monitoring and improving the performance of machine learning systems, and lead...

As an AI Engineer at American Airlines, you will be part of a diverse, high-performing team dedicated to technical excellence. Your focus will be on delivering unrivaled digital products that enhance the reliability and profitability of the airline. You will have the opportunity to work in the Machine Learning domain, applying algorithms and models to enable computers to learn from data and make predictions. This includes working on subfields such as segmentation, propensity modeling, natural language processing (NLP), reinforcement learning, and generative AI models. Key Responsibilities: - Collaborate with various stakeholders including leaders, business analysts, project managers, IT arch...

We are seeking skilled Machine Learning Engineers to design, develop, and deploy advanced ML models focused on Agentic AI use cases, utilizing the AWS ecosystem. The role emphasizes end-to-end ML solutions, from data preprocessing and model development to deployment and ongoing monitoring, with a strong focus on scalability, performance, and cost-efficiency in production environments. Key Responsibilities: Design, develop, and deploy machine learning models tailored for Agentic AI applications in clinical and enterprise domains. Work extensively with the AWS AI/ML ecosystem, including SageMaker, Bedrock, Lambda, Step Functions, S3, DynamoDB, and Kinesis, to build scalable solutions. Perform ...

Strong background in GPU architecture (NVIDIA, AMD) and HPC systems. Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Keras, MXNet, Hugging Face).Experience with distributed training and orchestration frameworks (KubeFlow, MLflow, Ray, Horovod). Required Candidate profile Knowledge of parallel computing, MPI, CUDA, ROCm, and GPU drivers.Familiarity with storage technologies for HPC/AI (NVMe, Lustre, GPFS, Ceph, Object Storage).

• 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

You will be responsible for designing data pipelines and engineering infrastructure to support clients" enterprise machine learning systems at scale. Additionally, you will be tasked with taking offline models data scientists build and transforming them into real machine learning production systems. Your role will involve developing and deploying scalable tools and services for clients to handle machine learning training and inference efficiently. You will need to identify and evaluate new technologies to enhance the performance, maintainability, and reliability of clients" machine learning systems. It is essential to apply software engineering rigor and best practices to machine learning, i...

As a Data Scientist at Texas Instruments, you will be a key player in the Demand Analytics team, focusing on shaping and executing demand planning and inventory buffer strategies. Working alongside a team of technical professionals, including application developers, system architects, data scientists, and data engineers, you will be responsible for solving complex business problems through innovative solutions that drive tangible business value. Your role will involve portfolio management for demand forecasting algorithms, generation of inventory buffer targets, segmentation of products, simulation/validation frameworks, and ensuring security and interoperability between capabilities. Key Re...

Seeking an MLOps Engineer to design, deploy, and monitor ML systems. You’ll ensure models are reliable, scalable, and easy to manage, while building tools that support teams and improve workflows. Required Candidate profile Looking for 3+ yrs exp in DevOps/MLOps/ML/Data Eng, strong Python, Git, CI/CD, Docker, K8s, cloud (AWS/GCP/Azure).Plus MLflow, Kubeflow, Airflow, PySpark; bonus Kafka, ArgoCD, Helm, Java, GPU.

Key Responsibilities Model Development & Optimization Lead the independent design, training, and validation of highly robust, reusable AI/ML models, leveraging and defining best practices for frameworks like Kubeflow, PyTorch, TensorFlow, or HuggingFace. Champion and apply advanced techniques in deep learning, NLP, computer vision, and classical ML, ensuring models are inherently explainable, scalable, and highly performant. Define strategies for and oversee the optimization of models for accuracy, speed, and resource efficiency, providing technical leadership and guidance to ML Data Engineers on deployment readiness. AI/ML System Design Architect complex and resilient AI model systems, effe...

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...

Develop and implement machine learning and deep learning models. Integrate AI solutions into applications and systems. Optimize model performance, scalability, and accuracy. Research and apply the latest AI tools, frameworks,

As a Senior Applied ML Engineer at Cozeva, you will play a crucial role in bridging the gap between research and production, ensuring that Cozeva's AI innovations are successfully deployed, monitored, and scaled within the SaaS platform. Your expertise in machine learning models and enterprise-scale software systems will be instrumental in turning prototypes into high-performing, production-grade AI features that drive value-based care. Key Responsibilities: - Model Integration & Deployment: - Embed various ML/AI models (LLMs, NLP, risk models, forecasting) into Cozeva's software workflows and APIs. - Build and maintain production pipelines for training, evaluation, and deployment on cloud-n...

You will be responsible for the following key roles: - AI/ML Developer (2-3 years experience): - Develop, fine-tune, and deploy AI/ML models. - Senior AI/ML Developer (5-7 years experience): - Lead AI/ML projects, optimize large-scale models, and mentor junior developers. Qualifications required for the role include: - B.Tech / M.Tech in Computer Science, AI, or related fields. - AI/ML Developer: - 2-3 years of experience in AI/ML development, strong in Python, TensorFlow/PyTorch, data engineering. - Senior AI/ML Developer: - 5-7 years of experience with expertise in LMs, deep learning, scalable architectures, and performance optimization. - Experience with MLOps tools MLflow, Kubeflow, Dock...

As an AI/ML Developer, you will be responsible for utilizing programming languages such as Python for AI/ML development. Your proficiency in libraries like NumPy, Pandas for data manipulation, Matplotlib, Seaborn, Plotly for data visualization, and Scikit-learn for classical ML algorithms will be crucial. Familiarity with R, Java, or C++ is a plus, especially for performance-critical applications. Your role will involve building models using Machine Learning & Deep Learning Frameworks such as TensorFlow and Keras for deep learning, PyTorch for research-grade and production-ready models, and XGBoost, LightGBM, or CatBoost for gradient boosting. Understanding model training, validation, hyperp...

As a Senior Backend Engineer at our company, you will be responsible for designing, developing, and maintaining the infrastructure powering our generative AI applications. You will collaborate with AI engineers, platform teams, and product stakeholders to build scalable and reliable backend systems supporting AI model deployment, inference, and integration. This role will challenge you to combine traditional backend engineering expertise with cutting-edge AI infrastructure challenges to deliver robust solutions at enterprise scale. - Design and implement scalable backend services and APIs for generative AI applications using microservices architecture and cloud-native patterns. - Build and m...

As a Staff Software Developer specializing in Machine Learning for EDA Systems at Qualcomm India Private Limited, you will play a crucial role in designing and implementing cutting-edge machine learning techniques in the realm of Electronic Design Automation (EDA). Your primary responsibilities will revolve around leading software development initiatives, guiding a team of engineers and ML practitioners, and ensuring the seamless integration of ML into semiconductor design workflows. Below are the key details of the job: **Role Overview:** You will be responsible for designing and developing end-to-end ML-integrated EDA software platforms, leading a team of engineers, refining software devel...

My profile - linkedin.com/in/yashsharma1608 Position : AI Architect ( Gen AI ) Experience : 8 - 10 years Notice Period : Immediate to 15 days. Budget upto - 45 to 50 LPA Location : Bangalore. Note : - (any developer with minimum 3 to 4 years into AI), SaaS company mandatory. Product Based company Mandatory Discuss the feasibility of AI/ML use cases along with architectural design with business teams and translate the vision of business leaders into realistic technical implementation Play a key role in defining the AI architecture and selecting appropriate technologies from a pool of open-source and commercial offerings Design and implement robust ML infrastructure and deployment pipelines Es...

Qualifications: Bachelors degree in Computer Science or a related field Significant experience in a DevOps or Site Reliability Engineering(SRE) role Strong expertise in Kubernetes, including deployment, scaling, andmanagement of containerized applications Proven experience in setting up and managing open-source platforms like Elasticsearch,Kafka, and Grafana Solid understanding of infrastructure as code principles and experience with tools likeTerraform or Ansible Experience with CI/CD tools (eg, Jenkins, GitLab CI/CD, CircleCI) Strong scripting skills (eg, Python, Bash) Excellent troubleshooting and problem-solving abilities Strong communication and collaboration skills, with the ability to...

You will be responsible for designing and delivering a portal web application as a Sr. Tech Lead in an agile development lifecycle. With a minimum of 8 years of experience in web application development, you should demonstrate expertise in Java, Springboot, Microservices, and Javascript Frameworks such as Angular and REACT. Cloud-based development experience is also necessary for this role. Your key responsibilities will include designing and architecting Java-based applications, leading and mentoring development teams, collaborating with stakeholders to gather requirements, developing high-quality code in Java, identifying technical debt, and staying updated with emerging technologies. You ...

As an AI/ML professional at Voxai, you will play a crucial role in architecting and implementing Large Language Model (LLM)-driven solutions that revolutionize customer experience in the contact center domain. Your responsibilities will include designing and optimizing Retrieval-Augmented Generation (RAG) pipelines, recommending AI/ML architectures, developing AI agents, experimenting with Agentic AI systems, and building MLOps pipelines. You will collaborate with cross-functional teams to deliver real-world AI applications, analyze contact center data to derive actionable insights, and mentor junior engineers. Your qualifications should include a strong foundation in Computer Science, profi...

This role provides you with the opportunity to utilize your cloud-native deployment expertise and experience in modern AI platforms to develop scalable ML pipelines, LLM-based applications, and intelligent agent frameworks. You will be instrumental in hastening the delivery of innovative solutions for telecom, enterprise, and next-generation autonomous networks. If you enjoy a challenging and fulfilling work environment, we invite you to apply. Your Responsibilities and Learning Opportunities: - Implement MLOps best practices for CI/CD, model deployment, and monitoring. - Focus on fine-tuning, prompt engineering, RAG pipelines, and LLM monitoring. - Enhance AI/ML systems with Agentic AI fram...

Are you seeking a rewarding career opportunity at one of India's Top 25 Best Workplaces in the IT industry Would you like to contribute to the success of one of the fastest-growing IT services companies and excel in your professional endeavors Are you looking to thrive in an award-winning work environment that recognizes and nurtures your talents and career aspirations Look no further than Iris Software. Iris Software is dedicated to becoming the most trusted technology partner for its clients and the preferred choice for top industry professionals to realize their full potential. With a workforce of over 4,300 associates spread across India, the U.S.A, and Canada, we specialize in enabling ...