learning, and robust Machine Learning (ML) (not limited to CV focus, but nice to have) 1+ year working with cloud-based platforms (AWS, Azure, etc.) and integrating CV capabilities (SageMaker, IBM Watson Studio, etc.) Ability to work with a geographically distributed team Ability to travel local occasionally (DC Capital Region) to government sites for customer meetings and demonstrations Effective More ❯
Fitch Group, Inc., Fitch Ratings, Inc., Fitch Solutions Group
classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g., AWS Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc. • Bachelor’s degree (master’s or higher strongly preferred) in machine learning, computer science, data science, applied mathematics or related technical field More ❯
Delivery Consultant - Data Analytics and GenAI, AWS Professional Services Job ID: Amazon Web Services EMEA Dubai FZ Branch The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS … 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 … DevOps Engineer Professional) preferred - Experience with automation and scripting (e.g., Terraform, Python) and kowledge of security and compliance standards (e.g., HIPAA, GDPR) - Experience with AWS AI/ML services (SageMaker, Bedrock, Amazon Q), SQL and at least one programming language (Python, Java, Scala) - Experience in AWS analytics & Generative AI services (e.g., Redshift, EMR, Glue, Athena, QuickSight, Bedrock, Q More ❯
a trajectory to success? Are you familiar with security best practices and compliance standards for AI applications? Do you want to be part of the team helping to establish Amazon Web Services as a leading technology AI platform? Would you like to be part of a team that genuinely focuses on understanding what's best for the customer and … also be valued within as a technical expert? Amazon Web Services is looking for a skilled and motivated Professional Services Senior Data Scientist to help accelerate our growing Data and AI business in the UK and work with our public sector customers. We need passionate, experienced consultants to help our citizens and the community benefit from the AI revolution. … ambiguity and mentoring junior teams - Expertise - Collaborate with field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Bedrock, Sagemaker, and other data services. Experience in architecture, engineering, software design and operations in hybrid environments as well as complex projects at scale. - Solutions - Demonstrated consulting skills, ideally through previous More ❯
etc) Build efficient data pipelines between on-premise and cloud environments to handle text and audio data processing loads for ML models Deploy NLP models in cloud environments (AWS SageMaker) through Jenkins Design and implement MLflow and other ML Ops applications to streamline ML workflows which adhere to strict data privacy and residency guidelines Communicate your work throughout the … Huggingface; strong programming skills in Java are a plus Expert level know-how of ML Ops systems, data pipeline design and implementation, and working with ML platforms (preferably AWS SageMaker) Strong analytical and problem-solving abilities, with a keen eye for detail and accuracy Curiosity and a strong growth mindset with a demonstrable history of learning quickly in a More ❯
Tech Skills Required: Advanced level of coding in Python for Data Science Software engineering architecture design for application with integrated Data Science solutions Jupyter server/notebooks AWS: EC2, Sagemaker, S3 Git version control SQL skills include selecting, filtering, aggregating, and joining data using core clauses, use of CTEs, window functions, subqueries, and data cleaning functions to handle more More ❯
with cloud-based technologies beyond AWS Experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes) Familiarity with AI/ML concepts, frameworks (e.g., TensorFlow, PyTorch), and tools (e.g., AWS SageMaker, Azure ML) - What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member More ❯
XGBoost, etc.) Experience with various data manipulation and pipeline libraries (i.e. Pandas, Polars, matplotlib, Plotly, numpy, scipy, etc.)Experience with data science environments (e.g. Jupyter Notebook, Data Bricks, or Amazon Sage Maker) Experience with Python, R, and/or Java programming languages Experience implementing the data science process, developing experiments, reporting and explaining results Familiar with Linux/Unix More ❯
Delivery Consultant - AI/ML and Generative AI, Professional Services GCC The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business … methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certifications (e.g., Machine Learning Speciality, Machine Learning Engineer Associate, Solutions Architect Professional) preferred - Experience with automation and scripting (e.g., Terraform … including fine-tuning, continuous training, small language model development, and implementation of Agentic AI systems - Experience in developing and deploying end-to-end machine learning and deep learning solutions 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 ❯
Senior Consultant - AI/ML and Generative AI, Professional Services GCC The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business … 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 … junior team members, and guiding them on creating end to end AI solutions PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certifications (e.g., Machine Learning Speciality, Machine Learning Engineer Associate, Solutions Architect Professional) preferred - Experience with automation and scripting (e.g., Terraform More ❯
Consultant - AI/ML and Generative AI, Professional Services GCC The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. … 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 … methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certifications (e.g., Machine Learning Speciality, Machine Learning Engineer Associate, Solutions Architect Professional) preferred - Experience with automation and scripting (e.g., Terraform More ❯
manage risk, optimize generation assets, and support energy procurement. You'll work closely with the Tech Lead and support the full ML lifecycle - from training to deployment - using AWS SageMaker and modern DevOps practices. This is an engineering-focused role, not a mathematical modeling one. What You’ll Do Build and maintain ML pipelines using SageMaker for training … Automate model lifecycle processes to support rapid iteration and reliability. What You’ll Need Strong experience in ML Ops with a focus on machine learning systems. Proficiency with AWS SageMaker, Python, Docker, and workflow orchestration tools. Familiarity with infrastructure-as-code (e.g., Terraform, CloudFormation). Experience deploying and monitoring models in production environments. Understanding of CI/CD and More ❯
York, North Yorkshire, Yorkshire, United Kingdom Hybrid / WFH Options
WRK DIGITAL LTD
Terraform, GitHub, and VS Code for pipeline deployment. Proven leadership in developing high-performing data teams. Strong SQL and familiarity with analytics tools such as Alteryx, AWS Athena, Quicksight, Sagemaker, Tableau, and Power BI. Excellent communication and stakeholder management skills. Ability to write clear technical documentation and define user stories with appropriate acceptance criteria. Desirable: Experience in real-time More ❯
Terraform, GitHub, and VS Code for pipeline deployment. Proven leadership in developing high-performing data teams. Strong SQL and familiarity with analytics tools such as Alteryx, AWS Athena, Quicksight, Sagemaker, Tableau, and Power BI. Excellent communication and stakeholder management skills. Ability to write clear technical documentation and define user stories with appropriate acceptance criteria. Desirable: Experience in real-time More ❯
Terraform, GitHub, and VS Code for pipeline deployment. Proven leadership in developing high-performing data teams. Strong SQL and familiarity with analytics tools such as Alteryx, AWS Athena, Quicksight, Sagemaker, Tableau, and Power BI. Excellent communication and stakeholder management skills. Ability to write clear technical documentation and define user stories with appropriate acceptance criteria. Desirable: Experience in real-time More ❯
and Python, understanding of data structures, algorithms, and software design patterns. Experience with AI/Gen AI frameworks like TensorFlow or PyTorch. Experience with cloud platforms such as AWS SageMaker or Azure Machine Learning. Ability to translate business problems into solutions. Strong communication skills; bilingualism/multilingualism is a plus. Willingness to travel (50% - national and international). Our More ❯
d like to see from you: • Extensive experience designing and deploying ML systems in production • Deep technical expertise in Python and modern ML tooling (e.g. MLflow, TFX, Airflow, Kubeflow, SageMaker, Vertex AI) • Experience with infrastructure-as-code and CI/CD practices for ML (e.g. Terraform, GitHub Actions, ArgoCD) • Proven ability to build reusable tooling, scalable services, and resilient More ❯
scripting Experience with CI/CD tools and practices, including GitHub Actions or GitLab CI Experience with AWS services and Cloud-native architecture patterns, including ECS, Lambda, SQS, SNS, SageMaker, RDS, DynamoDB, IAM policies, security groups, or network security Experience with Infrastructure as Code, including AWS CDK, Terraform, or CloudFormation Experience with security scanning tools TS/SCI clearance More ❯
d like to see from you: Extensive experience designing and deploying ML systems in production Deep technical expertise in Python and modern ML tooling (e.g. MLflow, TFX, Airflow, Kubeflow, SageMaker, Vertex AI) Experience with infrastructure-as-code and CI/CD practices for ML (e.g. Terraform, GitHub Actions, ArgoCD) Proven ability to build reusable tooling, scalable services, and resilient More ❯
experience with various AI/ML techniques (e.g., supervised/unsupervised learning, reinforcement learning, NLP, computer vision), frameworks (e.g., TensorFlow, PyTorch), and cloud-native AI/ML services (AWS SageMaker, Azure ML, GCP AI Platform) Extensive experience with diverse data processing technologies (e.g., Spark, Hadoop, Kafka) and data warehousing/lake solutions Strong architecture skills in designing scalable, secure More ❯
Columbia, South Carolina, United States Hybrid / WFH Options
Systemtec Inc
big data technologies and cloud-based technologies AWS Services, State Machines, CDK, Glue, TypeScript, CloudWatch, Lambda, CloudFormation, S3, Glacier Archival Storage, DataSync, Lake Formation, AppFlow, RDS PostgreSQL, Aurora, Athena, Amazon MSK, Apache Iceberg, Spark, Python ONSITE: Partially onsite 3 days per week (Tue, Wed, Thurs) and as needed. Standard work hours: 8:30 AM - 5:00 PM Required Qualifications … related degree 6 years-of application development, systems testing Nice to have: AWS Redshift, Databricks- delta Lake, Unity catalog, Data Engineering and processing using Databricks, AI and Machine Learning Amazon Bedrock, AWS Sagemaker, Unified Studio, R Studio/Posit Workbench, R Shiny/Posit Connect, Posit Package Manager, AWS Data Firehose, Kafka, Hive, Hue, Oozie, Sqoop, Git/ More ❯
DESCRIPTION Would you like to join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS? At AWS Enterprise Support we're looking for a Technical Account Manager (TAM) to support our customers' creative and transformative spirit of innovation across all technologies … Security customers. As a TAM, you will help craft and execute strategies to drive our customers' adoption and use of AWS services, including EC2, S3, DynamoDB & RDS databases, Lambda, SageMaker, ECS/EKS, GuardDuty, Systems Manager, CodePipeline, IoT, and many more. Your technical acumen and customer-facing skills will enable you to effectively represent AWS within a customer's … be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. A day in the life About the Team 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 More ❯
DESCRIPTION Would you like to join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS? At AWS Enterprise Support we're looking for a Technical Account Manager (TAM) to support our customers' creative and transformative spirit of innovation across all technologies … Security customers. As a TAM, you will help craft and execute strategies to drive our customers' adoption and use of AWS services, including EC2, S3, DynamoDB & RDS databases, Lambda, SageMaker, ECS/EKS, GuardDuty, Systems Manager, CodePipeline, IoT, and many more. Your technical acumen and customer-facing skills will enable you to effectively represent AWS within a customer's … 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 More ❯
