482 Kubeflow Jobs - Page 4

Job Title: SSE Python & LLM Integration Location: Hybrid, Chandigarh, India Experience: 3 to 6+ years in software development Employment Type: Full-time About the Role We are looking for a hands-on technical lead with strong Python expertise and a deep understanding of Large Language Model (LLM) integration to lead the design, development, and deployment of AI-powered solutions. This role requires a balance of technical leadership, architecture design, and hands-on coding to ensure high-quality, scalable, and efficient AI-driven applications. You will collaborate closely with product, data science, and MLOps teams to integrate LLMs into real-world applications, optimize performance, and guid...

Hello, Truecaller is calling you from Bangalore, India! Ready to pick up Our goal is to make communication smarter, safer, and more efficient, while building trust across the world. With our roots in Sweden and a global reach, we deliver smart services that create meaningful social impact. We are committed to protecting you from fraud, harassment, scam calls, and unwanted messages, so you can focus on the conversations that matter. Top 20 most downloaded apps globally, and world's #1 caller ID and spam-blocking service for Android and iOS, with extensive AI capabilities, with more than 450 million active users per month. Founded in 2009, listed on Nasdaq OMX Stockholm and is categorized as a...

Key Responsibilities Design, develop, and deploy scalable machine learning models for real-world applications. Work on Generative AI-based solutions such as chatbots using RAG approaches. Implement and optimize product matching, image recognition, and NLP/LLM solutions. Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and workflows. Develop and maintain ML pipelines using MLflow, Kubeflow, or similar frameworks. Write and optimize SQL queries for data manipulation and analysis. Ensure model performance, scalability, and maintainability. Stay current with advancements in AI/ML, deep learning, and Gen AI frameworks. Required Skills & Experience 2+ yea...

Job Summary: We are seeking talented Data Engineers with strong experience in AWS cloud platforms and big data technologies. The ideal candidates will have hands-on expertise in developing scalable data warehouse solutions, ETL/ELT pipelines, and working with both structured and semi-structured data. Additionally, familiarity with MLOps and Kubeflow will be a plus. Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field, or equivalent work experience. Proven experience working with AWS cloud platform, leveraging a broad range of services. Strong background in big data and data warehouse platform development. Proficient in designing and implementing ET...

Role & responsibilities ML ENGINEER - Production MLOps & Model Deployment Preferred candidate profile ML ENGINEER - Production MLOps & Model Deployment Position Title: ML Engineer - Vertex AI Pipeline Specialist Position Summary: The ML Engineer will operationalize Clients predictive models through robust MLOps pipelines on GCP Vertex AI. This role focuses on model deployment, monitoring, and CI/CD integration to ensure scalable, reliable analytics solutions for lead scoring, pricing optimization, and retention modeling within Client’s semi-Agile delivery framework. Core Responsibilities: Build end-to-end MLOps pipelines using Vertex AI Pipelines and Feature Store Implement model versioning,...

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility -our people are energized problem solvers that take pride in how thework we do changes the world for the better. We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that's you we would love to have you join us! Job Description Data...

Job Description . Proficient in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, etc.). . Strong understanding of ML algorithms (regression, classification, clustering, NLP) . Experience with deep learning frameworks (TensorFlow, Keras, or PyTorch). . Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI is a plus. . Experience with cloud platforms such as AWS, Azure, or GCP. . Solid knowledge of data processing, feature engineering, and model tuning. . Exposure to deploying models in production using REST APIs or containerized environments (Docker, Kubernetes). Check Your Resume for Match Upload your resume and our tool will compare it to the requirements for this job li...

About Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by ...

Role Overview: At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. We are counting on your unique voice and perspective to help EY become even better. Join us to build an exceptional experience for yourself and contribute to creating a better working world for all. Key Responsibilities: - Develop, deploy, and monitor machine learning models in production environments. - Automate ML pipelines for model training, validation, and deployment. - Optimize ML model performance, scalability, and cost efficiency. - Implement CI/CD workflows for ML model versioning, testing, and deplo...

As a Senior Architect AI/ML, you will be leading cutting-edge data and AI solution initiatives leveraging your expertise of over 10 years. Your role will be crucial in architecting enterprise-grade AI/ML platforms and implementing GenAI technologies. This will involve designing cloud-native data pipelines and ensuring scalable solutions from data ingestion to inference. Collaboration with cross-functional teams will be essential to align data and AI strategies with business requirements. - Architect and deploy AI models utilizing platforms like MLflow, Azure ML, SageMaker, and KubeFlow. - Design cloud-based big data architectures on Azure, AWS, or GCP. - Provide guidance on Gen AI integratio...

Minimum Years of Experience: 10+ Years Key Responsibilities & Required Qualifications PhD in Computer Science, Statistics, Applied Mathematics, Data Science, AI, or a related field. Proven experience applying ML, deep learning, and statistical techniques to real-world problems. Strong programming skills in Python , R , or similar languages, with expertise in TensorFlow , PyTorch , Scikit-learn , etc. Proficiency in SQL and experience with large-scale data platforms (Hadoop, Spark, etc.). Strong background in mathematics, probability, linear algebra, and optimization. Experience in research publication or open-source contribution (preferred). Excellent communication skills to explain technica...

As an Architecture & Engineering Specialist in ML Engineering at ZS, you will be a part of ZS's Scaled AI practice within the Architecture & Engineering Expertise Center. Your role involves collaborating with data scientists to develop cutting-edge AI models, ML platforms, and pipelines to create continuous business value for clients. You will be responsible for managing the complete ML lifecycle, leading a team to achieve established goals, and mentoring technical talent within the team. Additionally, you will drive innovations on niche technologies and architecture patterns to maintain a culture of rapid learning and explorations. Key Responsibilities: - Work on ZS AI Products or client AI...

Role Overview: ZS is a dynamic and inclusive organization dedicated to making a positive impact on the world. As a member of the Beyond Healthcare Analytics (BHCA) Team, you will play a crucial role in shaping growth opportunities and delivering innovative solutions across various industries. Your responsibilities will involve building, refining, and utilizing ML Engineering platforms and components, collaborating with client-facing teams, and ensuring the highest quality of deliverables. Your expertise in machine learning, programming, and deployment of models will be key to driving impactful results for clients. Key Responsibilities: - Build, refine, and use ML Engineering platforms and co...

As an MLOps Architect at ORBCOMM, you will play a crucial role in designing and implementing the technology architecture that facilitates the deployment, scaling, and management of Generative AI and machine learning models. Your responsibilities will include: - Architecting end-to-end infrastructure and reference architectures for deploying GenAI and ML models into production environments. - Defining best practices for packaging, APIs, containerization, and Infrastructure-as-Code (IaC) patterns to enable modular and reusable deployment frameworks. - Designing and building pipelines for model training, validation, deployment, rollback, and monitoring. - Supporting both batch and real-time inf...

Role: Lead Generative AI Engineer Experience: 8+ years Location: Gurgaon / Pune Mode of work :WFO Must have Gen AI experience -3Y Agentic Ai experience -1Y Must have team leading exp Role Overview We are looking for a Senior Gen AI Engineer with proven experience in building and deploying Generative AI and scaled ML systems . This role demands end-to-end ownership of AI solutions from model selection, fine-tuning, and pipeline design to deployment on cloud ML platforms (AWS SageMaker) . The ideal candidate will be capable of architecting multi-agent frameworks and MCP pipelines , integrating them into enterprise systems, and delivering scalable, production-grade AI solutions. Along with stro...

Description We are looking enthusiastic AI/ML Developer with 3+ years of relevant experience in machine learning and artificial intelligence. The candidate should be well-versed in designing and developing intelligent systems and have a solid grasp of data handling and model deployment. Key Responsibilities Develop and implement machine learning models tailored to business needs. Develop and fine-tune Generative AI models (e.g., LLMs, diffusion models, VAEs) using platforms like Hugging Face, LangChain, or OpenAI. Conduct data collection, cleaning, and pre-processing for model readiness. Train, test, and optimize models to improve accuracy and performance. Work closely with cross-functional ...

Senior AI/ML Engineer Global Data Analytics, Technology (Maersk) A.P. Moller Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. We are responsible for moving 20 % of global trade & is on a mission to become the Global Integrator of C...

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrowpeople with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description As the Lead AI/ML Engineer/Data Scientist, you will be responsible for designing, developing, and implementing machine l...

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrowpeople with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description As the Lead AI/ML Engineer/Data Scientist, you will be responsible for designing, developing, and implementing machine l...

Key Responsibilities : - Design and implement end-to-end MLOps pipelines for continuous integration, continuous delivery, and continuous training (CI/CD/CT) of ML models. - Manage and optimize the production environment for ML models, using containerization (Docker) and orchestration (Kubernetes) to ensure scalability and reliability. - Implement monitoring and logging solutions to track model performance, data drift, and potential anomalies in production. - Collaborate with data scientists to transition models from research and development into a production-ready state. - Automate the retraining and redeployment of models to maintain accuracy and adapt to new data. - Troubleshoot and resolv...

Key Responsibilities : - Design and implement end-to-end MLOps pipelines for continuous integration, continuous delivery, and continuous training (CI/CD/CT) of ML models. - Manage and optimize the production environment for ML models, using containerization (Docker) and orchestration (Kubernetes) to ensure scalability and reliability. - Implement monitoring and logging solutions to track model performance, data drift, and potential anomalies in production. - Collaborate with data scientists to transition models from research and development into a production-ready state. - Automate the retraining and redeployment of models to maintain accuracy and adapt to new data. - Troubleshoot and resolv...

Key Responsibilities : - Design and implement end-to-end MLOps pipelines for continuous integration, continuous delivery, and continuous training (CI/CD/CT) of ML models. - Manage and optimize the production environment for ML models, using containerization (Docker) and orchestration (Kubernetes) to ensure scalability and reliability. - Implement monitoring and logging solutions to track model performance, data drift, and potential anomalies in production. - Collaborate with data scientists to transition models from research and development into a production-ready state. - Automate the retraining and redeployment of models to maintain accuracy and adapt to new data. - Troubleshoot and resolv...

Key Responsibilities Develop and maintain CI/CD pipelines for machine learning models. Automate model deployment, monitoring, and scaling processes. Implement and manage version control for code, data, and models. Ensure data quality, security, and compliance throughout the ML lifecycle. Collaborate with data scientists, engineers, and other stakeholders. Optimize infrastructure for ML workloads. Troubleshoot and resolve issues in production ML systems. Implement logging, monitoring, and alerting for ML pipelines. Manage and optimize cloud resources for ML/AI workloads. Facilitate knowledge sharing and best practices across teams. Mentor peer developers on MLOps / AIOps and DevOps. Automate ...

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...

Sr Python Developer (AI/ML Projects) Location : Onsite | Mohali Experience : 6-9 Years Employment Type : Full-Time Role Overview We are looking for a Senior Python Developer with deep expertise in AI/ML frameworks, data engineering, and scalable application development. The candidate will work on high-velocity AI/ML projects-ranging from predictive analytics and recommendation engines to generative AI platforms-where fast delivery and iteration are Responsibilities : Design & Develop : Build robust Python-based applications for AI/ML, data processing, and automation. Model Integration : Implement, fine-tune, and deploy ML/DL models using TensorFlow, PyTorch, Scikit-learn, Hugging Face. Data ...