Job ID: AWS EMEA SARL (Italy Branch) At Amazon, we are continuously striving to be the most customer-centric company in the world. AWS has been helping over one million customers in over 190 countries to deliver flexibility, scalability, and reliability across their organizations. Behind this success are exceptionally … talented, bright, and driven individuals who work hard, have fun, and make history. As a Solution Architect within Amazon Web Services (AWS), you will have the opportunity to help shape and deliver on a strategy to build mind share and broad use of Amazon's services (like Amazon Bedrock, Amazon Q, AmazonSageMaker, Amazon DynamoDB, Amazon S3, Amazon EC2, and Amazon SQS, etc.) within strategic accounts across Italy. Your broad responsibilities will include: owning the technical engagement and ultimate success around specific implementation projects, and developing deep expertise in the more »
Associate Data Analytics Consultant, A2C Do you enjoy leading, guiding, and influencing customers and team members to build data analytics solutions? At Amazon Web Services, we're hiring highly technical Data Analytics Consultants to collaborate with our customers and partners on key customer engagements. You will apply your deep … the combination of cultural philosophies, practices, and tools that deliver end-to-end applications and infrastructure solutions. You will join as part of the Amazon Web Services Professional Services (ProServe) Associate to Consultant (A2C) practice, which focuses on the accelerated career development of university graduates and early career professionals. … on projects. The ideal candidate will have extensive experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, AmazonSageMaker, Amazon EMR. The Data Analytics Consultant is comfortable rolling up their sleeves to design more »
Machine Learning Engineer, Amazon Music Search As a machine learning engineer on the Amazon Music Search team, you will collaborate with scientists on developing and evaluating machine learning models (Search Relevancy & Ranking) using large datasets such as meta-data and search queries to improve the customer experience through … ideate, experiment, iterate, optimize, and scale quickly while thoughtfully balancing speed and quality. Key Job Responsibilities Use ML and Generative AI tools, such as AmazonSageMaker and Amazon Bedrock, to provide scalable production solutions to improve the customer experience, label data, build, train, tune, and deploy models. … help automate and optimize key processes. Work closely with science and engineering teams to drive model implementations and develop new algorithms. About the Team Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams more »
System Development Engineer II- AWS, Sales Tech , Amazon - SalesTech Amazon Seller Services India offers innovative solutions to help sellers grow their online businesses. With a fast-paced, entrepreneurial work environment, you'll be at the heart of Amazon's drive to deliver cutting-edge cloud technologies. We … highly available AWS cloud infrastructure. Design, build, and optimize scalable solutions for data generation and processing, improving the quality and performance of models. Use Amazon Bedrock and AmazonSageMaker to support the development, training, tuning, and deployment of machine learning models. Collaborate with product and engineering teams … Experience with CI/CD pipelines build processes PREFERRED QUALIFICATIONS Experience with distributed systems at scale Posted: February 12, 2025 (Updated 1 day ago) Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race more »
Azure. Experience with business intelligence tools like Tableau or PowerBI. Experience working with LLMs. Experience working with AWS Services like EC2, RDS(Postgres), SQS, Sagemaker, MLflow, S3, API gateway, ECS. Experience in UI frameworks like VueJS is a plus. About Us FactSet creates flexible, open data and software solutions more »
e.g., AWS, GCP, Azure) and their AI/ML services. Big data technologies (e.g., ElasticSearch, Athena, vector DBs). MLOps practices and tools (e.g., SageMaker). The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change more »
transformers. Experience working with large-scale datasets, data augmentation, and feature extraction techniques. Proficiency in cloud computing services for AI/ML deployment (AWS SageMaker, Azure ML, GCP AI). Familiarity with MLOps practices, including model versioning, deployment, and monitoring. Strong problem-solving skills and ability to work in more »
london, south east england, United Kingdom Hybrid / WFH Options
In Technology Group
transformers. Experience working with large-scale datasets, data augmentation, and feature extraction techniques. Proficiency in cloud computing services for AI/ML deployment (AWS SageMaker, Azure ML, GCP AI). Familiarity with MLOps practices, including model versioning, deployment, and monitoring. Strong problem-solving skills and ability to work in more »
can avoid asking you about something you don't know about as we get to know each other. AWS services : EC2, Lambda, API Gateway, SageMaker, S3 (or equivalent from Azure, Google Cloud) Programming languages : Python, C++ Deep Learning Frameworks : PyTorch, TensorFlow, CUDA DevOps and automation, testing : Terraform, Ansible, Pytest more »
with frameworks such as FastAPI, TensorFlow, LangChain/LlamaIndex. Familiarity with prompt engineering, embeddings & RAG, and vector databases. Experience with AWS ML capabilities (e.g. SageMaker, Bedrock) or their GCP/Azure equivalents. Experience with evaluating and improving the accuracy, efficiency and performance of LLM and RAG implementations and use more »
agents, and frameworks like vLLM, to drive product innovation. Utilize strong Python skills and work with tools like GitHub, Docker, SQL, PyTorch, and AWS Sagemaker to develop scalable solutions. Participate in a dynamic, fast-paced environment that offers opportunities for professional growth and product ownership. Work closely with a more »
with data visualization platforms such as PowerBI, Tableau or Sigma Knowledge of any of the following tools is a plus: Databricks, Snowflake, Dataiku, AWS, Sagemaker Oil and gas industry experience is a plus We are actively seeking candidates for full-time, remote work within the US and UK. Atlanta more »
help, but aren't essential: Familiarity with cloud Knowledge of Infrastructure as Code (Terraform, Terragrunt) Tech Stack: Clickhouse DBT Airflow Terraform, Terragrunt, Helm AWS Sagemaker Bedrock Gitlab CI DVC MLFlow/Kubeflow/Weights & Biases About us: FXC Intelligence is a leading provider of cross-border payments data and more »
years of experience in data science or machine learning roles. Strong foundation in statistics and machine learning. Data Stack: Python, Jupyter Notebook, Redshift, AWS SageMaker, Metabase Comfortable with SQL and data preparation/querying. Understanding MLOps and model deployment. Interest or experience in finance and/or sports analytics. more »
years of experience in data science or machine learning roles. Strong foundation in statistics and machine learning. Data Stack: Python, Jupyter Notebook, Redshift, AWS SageMaker, Metabase Comfortable with SQL and data preparation/querying. Understanding MLOps and model deployment. Interest or experience in finance and/or sports analytics. more »
cloud platforms such as GCP, AWS, or Microsoft Azure, and familiarity with cloud-based ML services and tools, such as Google AI Platform, AWS SageMaker or Azure Machine Learning. You are comfortable writing queries, exploring data, and collaborating on hypotheses with product and engineering counterpart. You have knowledge of more »
experience with Python development Established application development experience in Service Oriented Architectures Experience implementing Transformers (ideally, HuggingFace) Fine-tuned Transformer Models (ideally with AWS sagemaker but not essential) Experience deploying models and hosting via an API (AWS is preferred) Experience writing AWS Lambda functions Nice-to-Have Requirements Experience more »
tools and processes. We're migrating to the Snowflake platform along with other tooling as part of the modern data stack, such as AWS (SageMaker). In this role, you will be using ground-breaking technology to build and support world-class AI-based products, batch in the near more »
tools, and processes. We're migrating to the Snowflake platform along with other tooling as part of the modern data stack such as AWS (SageMaker). In this role, you will be using ground-breaking technology to build and support world-class AI-based products, batch in the near more »
Senior Machine Learning Engineer page is loaded Senior Machine Learning Engineer Job Title Senior Machine Learning Engineer Job Description Here at UnderwriteMe, we are on a mission to make life insurance more widely accessible and ensure people and their loved more »
PyTorch) Prior exposure to synthetic data is a plus Strong skills in Python Experience in setting up GPU-based training environments (e.g., Lambda, Runpod, Sagemaker) Company: Robert Walters Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates. more »
on cloud platforms (ideally, AWS although Azure and GCP are also fine) Expertise in Python programming Preferred, non-essential requirements: Experience working with AWS Sagemaker pipelines Experience with Langchain, Retrieval Augmented Generation (RAG) or Vector Databases Benefits £70,000 - 85,000 base salary (salary assessment will be primarily based more »
through research Job Qualifications We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB Implementation of AI/ML architectural patterns and best practices more »
through research Job Qualifications We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB Implementation of AI/ML architectural patterns and best practices more »
be excited to apply cutting-edge Generative AI algorithms to solve real-world problems with significant impact? Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment … or related technical, math, or scientific field. Strong working knowledge of deep learning, machine learning, and statistics. Experiences related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV … GNN, or distributed training and strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on more »
