482 Kubeflow Jobs - Page 2

As an AI Scientist at Intangles, you will be part of a team that is defining the future of the automotive industry by creating innovative AI solutions using multimodal data types. Your responsibilities will include: - Understanding the business objectives and formulating them as Data Science problems. - Demonstrating expert level proficiency in Multivariate Time Series Forecasting or Causal Forecasting. - Building Computer Vision applications and being well-versed with Vision Transformer. - Developing and maintaining robust data processing pipelines and reproducible modeling pipelines. - Exploring data and effectively communicating insights to both technical and non-technical audiences. - An...

As an MLOps Engineer, your role involves designing, developing, and maintaining CI/CD pipelines for ML model training, testing, and deployment on cloud platforms such as Azure, AWS, or GCP. You will be responsible for developing REST APIs using FastAPI for model inference and data services. Additionally, you will deploy and orchestrate microservices and ML workloads on Kubernetes clusters, implementing model monitoring, logging, and version control without Docker-based containers. Your expertise will be crucial in automating deployment pipelines using tools like GitHub Actions, GitLab CI, Jenkins, or Azure DevOps. Working closely with Data Scientists and Backend Engineers, you will optimize ...

Role & responsibilities Design and implement MLOps pipelines using Kubeflow and KServe for model deployment and serving Deploy and manage production ML models on Kubernetes with NVIDIA GPU acceleration Optimize model inference using vLLM, TensorRT-LLM, Triton Inference Server , and PyTorch Dynamo Implement auto-scaling using KEDA, HPA , and Azure Cluster Autoscaler Build CI/CD pipelines using Azure DevOps for automated ML model deployment Manage Azure infrastructure (AKS, Azure ML, Container Registry) using IaC (Terraform/ARM/Bicep) Implement monitoring and observability using Prometheus and Grafana Perform Linux system administration and optimize containerized workloads Deploy and manage LL...

AIOps Lead Location: Chandigarh (On-site) Experience: 3 to 5 years (AI/ML + DevOps + Observability) Employment Type: Full-time About the Role We are looking for a next-generation AIOps Engineer to design and operate AI-driven, self-healing, and intelligent infrastructure systems. In this role, you'll fuse MLOps, DevOps, and agentic AI systems leveraging technologies like Ray, vLLM, SGLang, and PyTorch Lightning to build predictive, autonomous, and scalable operational pipelines. You will develop intelligent observability systems capable of detecting, diagnosing, and resolving issues in real time powered by distributed AI and LLM-based automation. Key Responsibilities Design, implement, and s...

Dear Professional, We are excited to present a unique opportunity at Cognizant, a leading IT firm renowned for fostering growth and innovation. We are seeking talented professionals with 6 to 8 years of experience in Kubernetes Administration,Docker,Red Hat OpenShift,Helm Charts,CI/CD Pipelines,GitOps,RBAC,Pod Security ,Policies,Ingress Controller,Service Mesh,API Gateway,GPU Resource Management,BCM,ClearML,MLflow,Kubeflow,Shell Scripting, AI Model Deployment to join our dynamic team. Your expertise in these areas is highly sought after, and we believe your contributions will be instrumental in driving our projects to new heights. We offer a collaborative environment where your skills will b...

As an experienced AI Platform Engineer, your role will involve designing, developing, and maintaining a hybrid AI Platform across multi-cloud and on-premises environments. You will be responsible for building an AI platform that enables real-time machine learning and GenAI at scale, while also incorporating governance and security frameworks. Key Responsibilities: - Design and deliver a hybrid AI Platform. - Develop and maintain scalable, efficient, and reliable data and AI pipelines. - Collaborate with data scientists, data engineers, and central data governance team to align with a standardized data strategy. - Design and implement MLOps and LLMOps framework. - Implement automated pipeline...

In this role, you will be responsible for building the machine learning production system (MLOps) to help companies transition to becoming AI-driven organizations. You will work with a team to deploy state-of-the-art AI solutions for clients. Your key responsibilities will include: - Collaborating with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models - Automating and streamlining model development and operations - Building and maintaining tools for deployment, monitoring, and operations - Troubleshooting and resolving issues in development, testing, and production environments - Enabling model tracking, experimentation, and automation - Deve...

You will be joining ERM as a Senior AI/ML Specialist to lead the development of AI accelerators, intelligent agents, and machine learning models for sustainability, health, and safety domains. Your role will involve guiding teams in applying LLMs, BERT, and Microsoft Azure AI technologies to design enterprise-grade solutions and drive client impact. ERM combines deep domain expertise with a strong track record in delivering sustainability-focused digital solutions. The Digital Services offered by ERM span the full information management lifecycle, from portfolio assessment and strategy to technology evaluation, design, testing, and implementation of enterprise-scale systems and cutting-edge ...

As an ideal candidate for this role, you should have the ability to design and implement cloud solutions, and build MLOps pipelines on cloud solutions such as AWS, MS Azure, or GCP. You should also have experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow, as well as familiarity with Docker and Kubernetes, OpenShift. Your proficiency in programming languages like Python, Go, Ruby, or Bash, along with a good understanding of Linux, and knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, will be beneficial for this role. Additionally, your ability to understand tools used by data scientists, and experience with software development and test automatio...

You are a seasoned Software Developer with 2-6 years of experience in designing, deploying, and scaling software platforms in the realm of Electronic Design Automation (EDA). In this role at Qualcomm India Private Limited, you will lead cutting-edge initiatives that integrate Machine Learning with semiconductor design to drive robust systems transforming chip development workflows. - Design and develop end-to-end ML-integrated EDA software platforms for scale, performance, and adaptability. - Guide and mentor a team of software engineers and ML practitioners, fostering innovation and engineering excellence. - Own and refine software development processes, embedding best practices and agility...

As a Software Developer specializing in Machine Learning for EDA Systems at Qualcomm India Private Limited, your primary responsibility will be to design and develop cutting-edge software platforms that integrate Machine Learning with semiconductor design processes. You will play a pivotal role in transforming chip development workflows by leading initiatives that drive innovation and engineering excellence. **Key Responsibilities:** - Design and develop ML-integrated EDA software platforms with a focus on scalability, performance, and adaptability. - Mentor and guide a team of software engineers and ML practitioners to foster innovation and excellence. - Refine software development processe...

As a Software Developer specializing in Machine Learning for Electronic Design Automation (EDA) Systems at Qualcomm India Private Limited, your role will involve designing, deploying, and scaling software platforms that integrate Machine Learning with semiconductor design. You will be at the forefront of cutting-edge initiatives that revolutionize chip development workflows. **Key Responsibilities:** - Design and develop ML-integrated EDA software platforms for scale, performance, and adaptability. - Mentor and guide a team of software engineers and ML practitioners to foster innovation and excellence. - Refine software development processes to embed best practices and agility across teams. ...

As an AI Engineer at Sundew, your role will involve designing, building, and deploying AI-driven solutions, leveraging ML frameworks, programming expertise, and cloud platforms to drive innovation and deliver transformative value to global clients. Key Responsibilities: - Develop and deploy machine learning and deep learning models. - Collaborate with data engineers to prepare and optimize datasets. - Build scalable model training and inference pipelines. - Evaluate and fine-tune model performance. - Integrate AI solutions into products and internal systems. - Stay updated with the latest AI research and tools. Qualifications Required: - Proficiency in Python with ML libraries (TensorFlow, P...

Role Overview: As a Life Sciences AI Solution Architect, you will be responsible for designing and architecting end-to-end AI/ML solutions for pharma/biotech use cases. You will apply MLOps methodologies for efficient model development, deployment, and monitoring, while leveraging Cognitive AI techniques such as NLP, Computer Vision, Speech, and Conversational AI. Your role will involve developing and implementing Document AI and Generative AI solutions, ensuring seamless integration of AI solutions into cloud platforms, and delivering and maintaining production-grade ML systems with high scalability and reliability. Additionally, you will provide technical leadership and mentorship to AI/ML...

Role Overview: As a Senior Technical Architect specializing in Data Science & Agentic AI, you will play a crucial role in leading the end-to-end modeling lifecycle. Your main responsibilities will include problem framing, experiment design, production deployment, and monitoring. You will be tasked with setting up the technical architecture for ML/GenAI and agentic systems. While collaborating with DE/Platform teams, your primary focus will be on modeling excellence, MLOps, and AI solution architecture to impact business KPIs positively. Key Responsibilities: - Own the technical vision for data-science initiatives and translate ambiguous business goals into modellable problems, KPIs, and NFRs...

Minimum 12+ years of relevant experience in building software applications in data and analytics field Enhance the go-to-market strategy by designing new and relevant solution frameworks to accelerate our clients journeys for impacting patient outcomes. Pitch for these opportunities and craft winning proposals to grow the Data Science Practice. Build and lead a team of data scientists and analysts, fostering a collaborative and innovative environment. Oversee the design and delivery of the models, ensuring projects are completed on time and meet business objectives. Engaging in consultative selling with clients to grow/deliver business. Develop and operationalize scalable processes to delive...

Job Responsibilities Craft winning proposals to grow the Data Science Practice. Develop and operationalize scalable processes to deliver on large & complex client engagements. Ensure profitable delivery and great customer experience design the end to end solution, put together the right team and deliver as per established processes. Build an A team hire the required skills sets and nurture them in a supporting environment to develop strong delivery teams for the Data Science Practice. Train and mentor staff and establish best practices and ways of working to enhance data science capabilities at Axtria. Operationalize an eco-system for continuous learning & development. Write white papers, co...

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a MLE - Intermediate / Senior Machine Learning Engineer (Production & MLOps Focus) to join our team in Chennai, Tamil N?du (IN-TN), India (IN). Job Title: Intermediate / Senior - MLE - Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx About Machine Learning Engineering at UPS Technology: We're the obstacle overcomers, the problem get-arounders. From figuring it out to getting it done our innovative culture demands yes and how! We are U...

• Proficiency in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, XGBoost, or LightGBM. • Strong understanding of data structures, algorithms, and statistics.

Data Scientist - GenAI Applications Position Overview We are seeking an experienced Data Scientist with 6+ years of experience to join our GenAI Applications team. This role leverages core data science expertisestatistical modeling, machine learning, and data analysisto enhance and optimize generative AI solutions. The ideal candidate will bring strong foundational data science skills and apply them to the emerging field of generative AI. Key Responsibilities Statistical Analysis & Machine Learning Conduct statistical analysis and hypothesis testing to validate model performance and business impact Build and optimize traditional machine learning models (regression, classification, clustering...

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a MLE - Lead - (Production & MLOps Focus) to join our team in Chennai, Tamil N?du (IN-TN), India (IN). Job Title: Lead - Machine Learning Engineer - Python, ML Frameworks, MLOps, Containerization, Terraform, GCP, Vertex AI, IBM Watsonx About Machine Learning Engineering at UPS Technology: We're the obstacle overcomers, the problem get-arounders. From figuring it out to getting it done our innovative culture demands yes and how! We are UPS. We are the United Problem Solver...

Responsibilities Research, prototype, and implement recommendation models: two-tower, multi-tower, cross-encoder architectures Utilize text/image embeddings (CLIP, ViT, BERT) for content-based retrieval and matching Conduct semantic similarity analysis and deploy vector-based retrieval systems (FAISS, Qdrant, ScaNN) Perform large-scale data prep and feature engineering with Spark/PySpark and Dataproc Build ML pipelines using Vertex AI, Kubeflow, and orchestration on GKE Evaluate models using recommender metrics (nDCG, Recall@K, HitRate, MAP) and offline frameworks Drive model performance through A/B testing and real-time serving via Cloud Run or Vertex AI Address cold-start challenges with m...

As an AI/ML Engineer at our company, you will play a crucial role in transforming Data Science prototypes into production-ready applications, building scalable MLOps pipelines, and maintaining deployed models. Your strong background in software engineering, cloud infrastructure, and practical experience with the full ML lifecycle will be essential for success in this role. Key Responsibilities: - Refactor and optimise Data Science prototypes for performance and efficiency. - Containerise models using Docker and deploy them onto a scalable infrastructure, such as Kubernetes. - Design and build low-latency APIs to serve model predictions in real-time. - Implement CI/CD/CT pipelines to automate...

About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a par...

As an MLOps Engineer at Fractal Analytics, you will play a crucial role in building the machine learning production system and deploying state-of-the-art AI solutions for clients. You will collaborate 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 - Working across all phases of model development to build MLOps components - Developing the knowledge base requi...