3877 Sagemaker Jobs - Page 24

Title: Data Platform Engineer Experience: 5+ years Location: Remote Duration: 6 months Job Description Are you passionate about building and supporting modern data platforms in the cloud? We’re looking for a Sr. Data Platform Engineer who thrives in a hybrid role—60% administration and 40% development/support—to help us scale our data and DataOps infrastructure. You’ll work with cutting-edge technologies like Databricks, Apache Spark, Delta Lake, and AWS CloudOps, Cloud Security, while supporting mission-critical data pipelines and integrations. If you’re a hands-on engineer with strong Python skills, deep AWS experience, and a knack for solving complex data challenges, we want to hear from ...

You will be part of the AI Cloud Quality Engineering team at Salesforce, specializing in Salesforce's AI Platform and applications. As a Quality Engineer, your role will involve leading the design, development, and execution of comprehensive test plans and quality strategies with a focus on automation. You will collaborate closely with product and engineering teams to ensure the quality of new features and successful execution of regression tests across various environments. Your responsibilities will include understanding complex backend AI flow systems, identifying potential risks, and strategically planning and executing testing efforts to ensure stability, reliability, and quality of fea...

You are an enthusiastic RPA & Intelligent Automation professional joining the ranks of a newly founded CoE at Booking.com. Your role is to meet increasing demand from the business, support the rapidly growing portfolio of automation, and make an impact across every business area. The team is considered a service provider for the entire company, operating with a large degree of autonomy and entrepreneurship. **Key Responsibilities:** - Naturally oriented towards improving efficiencies - Seeking accountability from yourself and others - Compassionate collaborator with a deep sense of camaraderie - Willingness to be cross-functional, pick up new skills, and cover new ground with/for the team - ...

MLOpsWe are looking for a highly skilled Analytics & Data Engineering professional with a strong background in Machine Learning, MLOps, and DevOps. The ideal candidate will have experience designing and implementing scalable data and analytics pipelines, enabling production-grade ML systems, and supporting agent-based development leveraging MCP/OpenAPI to MCP wrapper and A2A protocols. This role combines hands-on technical work with solution design, and will require close collaboration with data scientists, product teams, and engineering stakeholders. ;Key ResponsibilitiesDesign, build, and maintain scalable data pipelines and ETL/ELT processes for analytics and ML workloads.Implement MLOps ...

Prior ~2+ ;years of experience working with ML Ops & DS Responsibilities & Skills: Deploy, monitor, and scale ML models on AWS ;(SageMaker, ;EKS, ;Lambda) or GCP ;(Vertex ;AI, ;GKE, ;Cloud ;Functions). Build and maintain CI/CD ;pipelines for ML workflows using GitHub ;Actions ;/ ;Jenkins ;/ ;cloud-native ;tools. Containerize and orchestrate workloads with Docker ;& ;Kubernetes; manage infra via Terraform/CloudFormation. Implement model ;registries, ;feature ;stores, ;and ;observability using MLflow, ;Feast, ;Prometheus/Grafana. Collaborate with data scientists to operationalize ML models for personalization, ;recommendations, ;NLP. Proficient in Python, ;ML ;frameworks ;(Scikit-learn, ;Tenso...

We are seeking an experienced DevOps Engineer to support our AWS Generative AI initiatives, focusing on building secure, scalable, and automated cloud environments. The ideal candidate will be highly proficient in Terraform-based infrastructure automation, Azure DevOps CI/CD pipelines, and AWS AI/ML services, with strong emphasis on security, compliance, and operational excellence. This role will be pivotal in enabling our Data & AI teams to deploy, manage, and operate generative AI workloads efficiently and securely. Key Responsibilities Design, implement, and manage infrastructure-as-code (IaC) using Terraform for multi-account AWS environments. Build and maintain Azure DevOps CI/CD pipeli...

We are seeking an experienced AI/ML Solution Architect to design and deliver enterprise-grade Machine Learning and Generative AI solutions. The ideal candidate will define scalable, production-grade architectures across model development, training, deployment, and orchestration — integrating LLMs, MLOps, and distributed data systems. You will collaborate closely with Data Science, ML Engineering, and Business teams to drive innovation and technical excellence in the AI roadmap. Key Responsibilities Define and own end-to-end AI/ML architecture, from data pipelines to production deployment. Evaluate and select ML frameworks, tools, and platforms to ensure scalability, cost-efficiency, and main...

Position: Data & AI Lead Location: [Hybrid / Remote] Department: Data, AI & Analytics / Technology Reports to: Chief Data & AI Officer (CDAIO) Experience Required: 6-8+ Years Openings: 02 Role Overview: We are seeking a highly experienced and technically strong Data & AI Lead to take ownership of our data and AI initiatives across the enterprise. This position will be responsible for designing and executing a long-term roadmap to transform the organization into a data-first, AI-powered enterprise. The role encompasses data architecture, advanced analytics, AI/ML engineering, MLOps, governance, and applied AI use case delivery. The successful candidate will bring a unique combination of deep ...

Role Overview: We are seeking an experienced AI/ML Architect to lead the design and implementation of intelligent solutions for client use cases. The role involves building PoCs and scalable platforms leveraging Computer Vision, OCR, Deep Learning, and Vision-Language Models (VLMs) to automate classification, dumpster overflow detection, and contract data extraction. Key Responsibilities: Architect and design AI/ML solutions for detection, contamination identification, and overflow classification using cloud-managed services, CNN models, and VLMs. Develop OCR and data extraction pipelines for contracts, invoices, and scanned documents using AWS Textract, Mistral OCR, or equivalent frameworks...

Location - LTIM Pan India Experience - 5+to 12+ yrs Generic JD- Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment JD_ More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intel...

Position Summary: Knorr-Bremse, the world leader in braking systems and safety-critical mobility solutions, is building an AI Center of Excellence to accelerate innovation across truck and rail businesses. We are seeking a skilled ML/GenAI Engineer to be the operational backbone of our AI team. Your mission is to take the innovative models and prototypes developed by our scientists and transform them into production-grade, scalable, and highly efficient services. This is a hands-on engineering role focused on the post-modeling lifecycle: optimization, deployment, and MLOps. You will be the expert on making our cutting-edge Generative AI systems (including LLMs and RAG pipelines) run fast, co...

As a Data Scientist at Setu, you will play a crucial role in revolutionizing the fintech landscape by leveraging Data Science to understand and cater to the diverse financial needs of 1.4 billion people in India. You will have the opportunity to work on critical, scalable, and high-value use cases, contributing to the future of fintech. Your work will involve exploring innovative solutions, pushing boundaries, and making a tangible difference in the industry. Key Responsibilities: - Demonstrate passion for Setu's mission and vision, showcasing dedication, perseverance, and high ownership. - Create value for customers and stakeholders through the delivery of high-quality outcomes consistently...

As a Technical Delivery Manager with over 12 years of experience, you will be responsible for leading and managing large-scale, complex programs. Your expertise in project and delivery management, Agile methodologies, risk management, stakeholder communication, and cross-functional team leadership will be crucial for success in this role. **Key Responsibilities:** - **Delivery & Execution:** Oversee end-to-end project execution to ensure alignment with business objectives, timelines, and quality standards. - **Agile & SCRUM Management:** Drive Agile project delivery by coordinating across multiple teams and ensuring adherence to best practices. - **Risk & Dependency Management:** Identify ri...

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...

This is a remote position. AI Model Development: Design, train, and optimize AI/ML models for NLP, computer vision, and generative AI tasks. AI Agents & Automation: Develop autonomous AI agents capable of decision-making, reasoning, and real-time data processing. Vector Databases & AI Search: Implement and optimize vector search solutions using FAISS, Pinecone, Weaviate, or Milvus for AI-powered search and retrieval. Text-to-Video & Generative AI: Work on AI-driven text-to-video generation, speech synthesis, and multimodal AI applications. Cloud Infrastructure (AWS): Deploy and manage AI models on AWS (SageMaker, Bedrock, Lambda, S3, API Gateway, DynamoDB, Step Functions). Scalability & Perf...

Overview Hyland Software ?is widely known as a great company to work for and a great company to do business with. Being a leader in providing software solution for managing content, processes, and cases for organizations across the globe we enabled more than 20,000 organizations to digitalize their workplaces and transform their operations. Currently we are looking Developer 2 The Developer is responsible for the overall performance of the product through applying principles of software engineering to the design development maintenance testing and evaluation of the software. The Developer ensures timely delivery of high quality software within the release timelines and guidelines. What You W...

We are seeking an experienced AI/ML Solution Architect to design and deliver enterprise-grade Machine Learning and Generative AI solutions. The ideal candidate will define scalable, production-grade architectures across model development, training, deployment, and orchestration — integrating LLMs, MLOps, and distributed data systems. You will collaborate closely with Data Science, ML Engineering, and Business teams to drive innovation and technical excellence in the AI roadmap. Key Responsibilities Define and own end-to-end AI/ML architecture, from data pipelines to production deployment. Evaluate and select ML frameworks, tools, and platforms to ensure scalability, cost-efficiency, and main...

Architect the Future of AI with goML At goML , we design and build cutting-edge Generative AI, AI/ML solutions that help enterprises unlock the full potential of their data, drive intelligent automation, and create transformative AI-powered experiences. Our mission is to bridge the gap between advanced AI research and real-world enterprise adoption empowering businesses to innovate faster, make smarter decisions, and scale AI seamlessly across operations. We're looking for an Associate ML Architect with strong expertise in AWS, Generative AI, and ML system design . In this role, you'll architect scalable, high-performance, and cost-efficient AI solutions leveraging AWS AI/ML services, modern...

Job Title: Senior Data Scientist (LLMs & Computer Vision) Location: Pune (Work from Office) Experience: 5-7 Years Company: Netra Labs Compensation: As per the Industry Standards Company Description Netra Labs redefines enterprise AI with Ground Truth, a platform that transforms expertise into powerful AI agents. This ground breaking technology allows businesses to create digital twins to automate complex tasks efficiently. Ground Truth, integrates with any language model, offering unmatched flexibility and precision through a user-friendly drag-and-drop interface. The platform features enterprise-grade governance, Human-In-The-Loop functionality, and robust validation modes for secure and ef...

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: The role is responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing repor...

Role Description Core Responsibilities: The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks. Data Preparation: Prepare, cleanse, and transform data for model training and evaluation. Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models. System Integration: Integrate models into existing systems and workflows. Model Deployment: Deploy models to production environments and monitor performance. Collaboration: Work closely with data sc...

Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com Job Description We are seek...

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the Consumer and Community Banking, you serve as an integral part of a technology team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a technical contributor , you are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job Responsibilities Designing, build and maintain scalable, secure, and reliable cloud infrastructure and platforms usi...

Join Verdantas – A Top #ENR 81 Firm, We are hiring an AI Solutions Architect for their Pune office to design and implement scalable, secure AI/ML solutions aligned with business goals. Key responsibilities include architecture design for AI platforms using cloud services, leading technical collaborations and pilot projects, integrating AI models into enterprise workflows, and ensuring compliance with data privacy and ethical standards. Candidates should have a Bachelor’s or master’s in computer science or related fields, 8+ years in software architecture with 3+ years in AI/ML, proficiency in machine learning frameworks and cloud platforms, and strong communication skills. Preferred certific...

Description Core Technical Skills: Programming Languages: Advanced skills in Python (e.g., Pandas, NumPy, Matplotlib) and R for data analysis and modeling; familiarity with SQL for querying large datasets. ML Frameworks: Proficiency with Scikit-learn for traditional ML, TensorFlow or PyTorch for deep learning, and XGBoost or LightGBM for high-performance predictive models. Data Tools: Experience with big data platforms like Apache Spark or Hadoop, and cloud-based data services (e.g., AWS Redshift, Azure Data Lake, GCP BigQuery). Cloud Platforms: Hands-on knowledge of AWS (e.g., S3, SageMaker), Azure (e.g., Synapse Analytics), or GCP (e.g., Vertex AI) for scalable data processing and model ho...