276 to 300 of 480 Amazon SageMaker Jobs

advanced NLP toolkits) into our integration stack. You will stay current with AI/ML trends (e.g., transformer architectures, Hugging Face, Vertex AI on GCP, Azure Cognitive Services, AWS Sagemaker) and identify opportunities to incorporate new technology for improved efficiency and innovation. You will work closely with clients as the technical SME, gathering requirements and translating them into high … background in designing, building, and deploying microservices (ideally with Java, Spring Boot, Node.js, or Python). Expertise designing and implementing event-driven systems using tools like Apache Kafka, RabbitMQ, Amazon EventBridge, Azure Event Grid, or Google Pub/Sub. Cloud Hyperscalers: Practical experience with AWS, Azure, and GCP. Leading iPaaS Tools: Proficiency in Boomi, SnapLogic, Workato, or Azure Integration More ❯

objectives and performance to business stakeholders Strong analytical and problem-solving skills Ability to think creatively and insightfully about business problems Nice to have : Proficiency with Snowflake Proficiency with Amazon SageMaker Proficiency with Docker and Kubernetes The Perks We trust you, so we offer flexible working hours, as long it suits both you and your team; Physical and More ❯

Driven Design approaches 1+ years in enterprise technology professional services, in a consulting or other customer-facing delivery role AI-specific tools such as TensorFlow, Google Cloud AI Platform, Amazon SageMaker, etc Working in a number of distinct industries/verticals Success measures Within 3 months: Complete internal training on MongoDB Be connected to the broader AI-focused More ❯

will play a key role in designing and implementing AI-driven solutions, leveraging Large Models (LLMs), Generative AI, Open-Source AI tools, and AWS technologies such as Athena and SageMaker . This position requires strong technical expertise, problem-solving skills, and the ability to work collaboratively within a global AI-focused team. Key Responsibilities Develop and optimise AI and … machine learning models, with a focus on NLP and Generative AI . Design, implement, and deploy scalable AI solutions using AWS services , including Athena, SageMaker, and Lambda. Work with LLMs and Open-Source AI frameworks , ensuring model efficiency and accuracy. Collaborate with cross-functional teams to integrate AI-driven capabilities into business applications. Conduct performance optimisation and fine-tuning … ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Extensive experience in NLP and Generative AI , including working with large-scale models. Proficiency in AWS cloud computing , including Athena, SageMaker, and related AI/ML services. Experience in AI model optimisation, fine-tuning, and deployment in production environments. Strong analytical skills with the ability to solve complex AI-related More ❯

Business Analyst, analytics and insights, EU AMZL Capacity Planning Analytics Join to apply for the Business Analyst, analytics and insights, EU AMZL Capacity Planning Analytics role at Amazon Description The goal of Amazon Logistics (AMZL) is to build a world-class last mile operation. Amazon aims to exceed customer expectations by ensuring quick, accurate, and cost-effective … SQL for data extraction and ETL pipelines. Visualization tools experience: Quicksight, Tableau, or similar. Scripting experience: R, Python, or C++. Optional: Experience with AWS solutions like S3, Athena, Sagemaker. Amazon is an equal opportunity employer committed to diversity. We value your passion for innovation and building. Protecting your privacy is a priority; please see our Privacy Notice . If More ❯

feedback and continuously improve the platform Help establish AI governance and performance monitoring best practices You'll Thrive If You Have Deep expertise in AWS services : Lambda, DynamoDB, S3, SageMaker, API Gateway Strong skills in TypeScript , serverless architectures, and CI/CD automation Experience with AI/ML workflows (especially using SageMaker) Experience with ML pipelines, experiment tracking More ❯

feedback and continuously improve the platform Help establish AI governance and performance monitoring best practices You'll Thrive If You Have Deep expertise in AWS services : Lambda, DynamoDB, S3, SageMaker, API Gateway Strong skills in TypeScript , serverless architectures, and CI/CD automation Experience with AI/ML workflows (especially using SageMaker) Experience with ML pipelines, experiment tracking More ❯

tools (e.g., Docker, Kubernetes). Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks/tools (e.g., Sagemaker pipelines, Azure ML Studio, VertexAI, Kubeflow, MLFlow, Seldon, EvidentlyAI). #J-18808-Ljbffr More ❯

scientists to interrogate and visualise results easily and safely. What You'll DoIn the first 6 months: Own and evolve pipelines built in Python and R (and Kedro and SageMaker) to analyse immune profiles Contribute to modelling projects that use ML to identify immune signatures of disease or treatment outcomes Support internal tooling that connects lab outputs, data cleaning … dimensional single-cell assays Familiarity with batch effect correction, signal drift, or statistical learning in low-n cohorts Exposure to knowledge management systems, ontologies, or scientific metadata AWS/SageMaker, Kedro and/or Dagster tooling or containerised workflows (Docker, CI/CD) What It’s Like to Work Here At IMU Biosciences, you’ll join a high-trust More ❯

of AI frameworks (TensorFlow, PyTorch, Keras) Experience with NLP and computer vision models Strong understanding of machine learning algorithms and statistical modeling Experience with cloud-based AI platforms (AWS SageMaker, Google Cloud AI Platform) Excellent problem-solving and communication skills Qualifications Master's degree in Computer Science, Artificial Intelligence, or related field Certified AI Engineer or related certification (optional More ❯

data science or machine learning roles Strong knowledge of statistical modeling, machine learning algorithms, and experimentation frameworks Proficiency in Python, SQL, and cloud-based ML tools (e.g., Vertex AI, SageMaker) Excellent communication and leadership skills If this sounds like you, we would love to hear from you. Please apply by submitting your resume/CV. At Hunter Douglas, you More ❯

data science or machine learning roles Strong knowledge of statistical modeling, machine learning algorithms, and experimentation frameworks Proficiency in Python, SQL, and cloud-based ML tools (e.g., Vertex AI, SageMaker) Excellent communication and leadership skills If this sounds like you, we would love to hear from you. Please apply by submitting your resume/CV. At Hunter Douglas, you More ❯

just file handling). Understanding and experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We’re looking for someone who: Thinks like a data user, not just a data builder, with a strong sense of how More ❯

with three or more of the following: Azure Synapse, Azure SQL DB, Cosmos DB, Mongo DB, Redshift, S3, Stream Analytics, Kinesis, Azure Data Factory, IoT Hub, Azure ML Studio, SageMaker Modelling, Azure Data Lake Gen2, HD Insight. Desirable Skills Experience in Fabric and Synapse is highly desirable Programming: Knowledge of SQL and Python. DevOps: Experience with Azure DevOps. IoT More ❯

performing data science teams. Excellent stakeholder management and communication skills – able to explain complex concepts in accessible language. Proficiency in tools such as Azure ML Studio , Databricks , AWS/SageMaker , Snowflake , and cloud-native platforms. Familiarity with CI/CD tools like Azure DevOps Pipelines or GitHub Actions . Comfortable working in Agile environments and contributing to iterative product More ❯

performing data science teams. Excellent stakeholder management and communication skills – able to explain complex concepts in accessible language. Proficiency in tools such as Azure ML Studio , Databricks , AWS/SageMaker , Snowflake , and cloud-native platforms. Familiarity with CI/CD tools like Azure DevOps Pipelines or GitHub Actions . Comfortable working in Agile environments and contributing to iterative product More ❯

performing data science teams. Excellent stakeholder management and communication skills – able to explain complex concepts in accessible language. Proficiency in tools such as Azure ML Studio , Databricks , AWS/SageMaker , Snowflake , and cloud-native platforms. Familiarity with CI/CD tools like Azure DevOps Pipelines or GitHub Actions . Comfortable working in Agile environments and contributing to iterative product More ❯

ML, or data architecture roles, with a track record of leading successful projects, preferably in a consulting environment. Expertise in cloud-based AI and Data platforms (Azure AI, AWS SageMaker, Google AI), MLOps frameworks, and big data technologies (Databricks, Snowflake, Hadoop). Exceptional project management skills, with a demonstrated ability to plan, execute, and deliver complex AI and data More ❯

platforms in enterprise and federal agency contexts. Minimum 4 years of software engineering foundation experience in Python. Minimum 4 years of experience in ML/AI platforms including Databricks, SageMaker, Snowflake, and Vertex AI. Minimum 3 years of experience with AI frameworks (such as TensorFlow, PyTorch) and building and deploying AI models . Minimum 1 year of experience managing More ❯

Nice to haves Experience with containers and container orchestration: Kubernetes, Docker, and/or Mesos, including lifecycle management of containers Experience working with AWS technologies such as EC2, S3, Sagemaker What do you get for all your hard work? A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles . You More ❯

Business Intelligence Engineer, Japan Operations The Amazon ARTS (APEX-RoW Technology Solutions) team is looking for a Business Intelligence Engineer to optimize in one of the world's largest and most complex data warehouse environments. You are expected being passionate about working with huge database and someone who loves to bring datasets together to create dashboards and business reports. … programs with limited guide from manager: 1) optimize user's data pipeline and SQL and database infrastructure across RoW; 2) help business stakeholders to provide data pipeline solutions with Amazon/ARTS internal tech products and AWS services (e.g. Redshift, SageMaker, EMR, ETL tools, data lake); 3) develop scripts for maintenance automation; 4) execute the tech implementation with … a clear milestone planning and lead it to smooth launch; 5) help business stakeholders ramp up with team internal and Amazon tech products (e.g., Redshift Cluster, ETL tools, query performance) A day in the life An average day may look like: - Attend daily standup to give status updates - Monitor, maintain and optimize the team data infra health and performance More ❯

PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) We have several exciting new positions available for Machine Learning Engineers to join a forward … PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) This is your chance to contribute to an innovative, technically demanding project focused on developing More ❯

relevant to your interests and your customer's outcomes. You are prepared to work in a fast-paced environment, where you will be positively challenged and consistently embrace the Amazon Culture. A day in the life The Solutions Architect team at AWS is responsible for helping customers successfully implement cloud technologies. In a typical week you will meet multiple … most innovative companies. For Solutions Architect who like to invent, there's no better place to build than on the AWS Startup SA team. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career … is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies More ❯

relevant to your interests and your customer's outcomes. You are prepared to work in a fast-paced environment, where you will be positively challenged and consistently embrace the Amazon Culture. A day in the life The Solutions Architect team at AWS is responsible for helping customers successfully implement cloud technologies. In a typical week you will meet multiple … benchmarking and optimizing performance of models on accelerated computing (GPU, TPU, AI ASICs) clusters with high-speed networking. - Experience scaling model training and inference using technologies like Slurm, ParallelCluster, Amazon SageMaker. - Experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing. Amazon … data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity More ❯

etc.) Comfortable working across the full ML lifecycle Previous exposure to ambiguous or evolving problem spaces, ideally within consulting or client-facing environments Experience with AWS/Azure and SageMaker Clear and confident communicator, able to contribute to client conversations and work collaboratively with delivery teams Degree from a top university in a quantitative discipline (Master's preferred) Based … etc.) Comfortable working across the full ML lifecycle Previous exposure to ambiguous or evolving problem spaces, ideally within consulting or client-facing environments Experience with AWS/Azure and SageMaker Clear and confident communicator, able to contribute to client conversations and work collaboratively with delivery teams Degree from a top university in a quantitative discipline (Master's preferred) Based More ❯