26 to 50 of 111 Permanent Amazon SageMaker Jobs

large-scale analytics engines (e.g. Spark/PySpark) and scripting languages such as Python or Scala. Hands-on use of cloud data stacks (e.g. SageMaker Notebooks, S3, Glue, Athena) and modern storage formats or frameworks (e.g. Parquet, Delta Lake, Fabric). Experience with DevOps/DataOps tooling and practices ...

large-scale analytics engines (e.g. Spark/PySpark) and scripting languages such as Python or Scala. Hands-on use of cloud data stacks (e.g. SageMaker Notebooks, S3, Glue, Athena) and modern storage formats or frameworks (e.g. Parquet, Delta Lake, Fabric). Experience with DevOps/DataOps tooling and practices ...

library skills Hands-on experience with GenAI APIs and production deployments Knowledge of the full ML lifecycle and MLOps tools such as MLflow or SageMaker Strong communication skills and experience working with senior stakeholders A grounding in statistics and an agile, problem solving mindset Some Scala exposure ...

library skills Hands-on experience with GenAI APIs and production deployments Knowledge of the full ML lifecycle and MLOps tools such as MLflow or SageMaker Strong communication skills and experience working with senior stakeholders A grounding in statistics and an agile, problem solving mindset Some Scala exposure ...

Java 17, Restful, Oracle, Spring Boot, Microservices architecture, Jenkins, Splunk, Load Testing, Tuning, User Focused, distributed systems and financial applications, Data Dog, Dynatrace, Flyway, SageMaker, Bedrock, AgentCore. Familiarity with CI/CD pipelines, cloud platforms, and performance monitoring tools. Strong communication, problem-solving, and leadership abilities with a collaborative ...

observability frameworks (Prometheus, Grafana, CloudWatch) Must-Have Skills: 10+ years in software/solution architecture (3+ years in AI/ML) Strong AWS experience (SageMaker, Bedrock, Lambda, EKS, Glue) Expertise in Python/Java and ML frameworks (PyTorch, TensorFlow, HuggingFace) Hands-on with Generative AI, LLMs, RAG architectures, vector … design Knowledge of model tuning/evaluation (Fine-tuning, RLHF) Experience setting up observability: CloudWatch, Prometheus, Grafana, Open Telemetry Top Skills: AI Architect, AWS SageMaker, AWS Bedrock, Machine Learning Pipelines, Generative AI, LLM, RAG, RLHF, Fine-Tuning, TensorFlow, PyTorch, Hugging Face, Vector Databases, Pinecone, EKS, Kubernetes, Cloud-Native Architecture ...

help shape best practices in security, automation, and cost-efficient AI deployment. Key Responsibilities Architect secure, scalable ML and GenAI systems using AWS services (SageMaker, EKS/Fargate, Lambda, Step Functions). Build CI/CD pipelines for ML models, agents, and GenAI applications. Deploy LLMs and orchestrate multi … junior engineers and promote engineering best practices. Key Requirements Essential 3+ years experience in MLOps/ML Engineering/AIOps. Strong expertise in AWS (SageMaker, EKS/Fargate, Lambda, Step Functions, S3). Proficient with Docker, Kubernetes , and IaC (Terraform or AWS CDK). Experience with MLflow , CI/ ...

considered specialized skills: Knowledge of Modo Labs, Salesforce, PeopleSoft, or similar platformsExperience with enterprise AI platforms (e.g., OpenAI, Hugging Face, Vertex AI, Amazon SageMaker)Strong understanding of accessibility, security, and data privacy in digital experiencesDemonstrated ability to work collaboratively in higher education or comparable environments Time Base: Full ...

this level, you should have experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock. Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production. Strong … leadership in setting technical direction while remaining hands-on. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training ...

this level, you should have experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock. Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production. Strong … leadership in setting technical direction while remaining hands-on. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training ...

this level, you should have experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock. Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production. Strong … leadership in setting technical direction while remaining hands-on. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training ...

this level, you should have experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock. Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production. Strong … leadership in setting technical direction while remaining hands-on. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training ...

Full job description Senior Backend Developer (AWS/Azure, Python Expert) We are seeking a highly skilled Senior Backend Developer with deep expertise inAWS and Azure and advanced proficiency in Python. Experience withGo and C++ ...

primarily AWS-focused Platform Engineer at Naimuri, you'll be hands-on in designing, building, and supporting secure, scalable, and automated cloud infrastructure using Amazon Web Services. You'll operate at the intersection of platform engineering and cloud architecture—enabling teams to move faster, deploy with confidence, and embrace … primarily a cloud engineering role, we're especially interested in candidates with exposure to AWS data and AI/ML services (such as SageMaker, Comprehend, Rekognition, Bedrock, or related tooling) Desirable/Bonus Exposure to hybrid cloud setups (e.g., on-prem integration or restricted networks) Familiarity with supporting data ...

monitoring the new ML platform Building robust infrastructure and CI/CD pipelines End-to-end orchestration of ML workflows Working across AWS (SageMaker), Snowflake, GitLab, and MLflow Contributing to platform design, best practices, and production readiness (Bonus) Experience with Amazon Bedrock What we're looking for Strong ...

monitoring the new ML platform Building robust infrastructure and CI/CD pipelines End-to-end orchestration of ML workflows Working across AWS (SageMaker), Snowflake, GitLab, and MLflow Contributing to platform design, best practices, and production readiness (Bonus) Experience with Amazon Bedrock What we're looking for Strong ...

monitoring the new ML platform Building robust infrastructure and CI/CD pipelines End-to-end orchestration of ML workflows Working across AWS (SageMaker), Snowflake, GitLab, and MLflow Contributing to platform design, best practices, and production readiness (Bonus) Experience with Amazon Bedrock What we're looking for Strong ...

monitoring the new ML platform Building robust infrastructure and CI/CD pipelines End-to-end orchestration of ML workflows Working across AWS (SageMaker), Snowflake, GitLab, and MLflow Contributing to platform design, best practices, and production readiness (Bonus) Experience with Amazon Bedrock What we're looking for Strong ...

monitoring the new ML platform Building robust infrastructure and CI/CD pipelines End-to-end orchestration of ML workflows Working across AWS (SageMaker), Snowflake, GitLab, and MLflow Contributing to platform design, best practices, and production readiness (Bonus) Experience with Amazon Bedrock What we're looking for Strong ...

monitoring the new ML platform Building robust infrastructure and CI/CD pipelines End-to-end orchestration of ML workflows Working across AWS (SageMaker), Snowflake, GitLab, and MLflow Contributing to platform design, best practices, and production readiness (Bonus) Experience with Amazon Bedrock What we're looking for Strong ...

monitoring the new ML platform Building robust infrastructure and CI/CD pipelines End-to-end orchestration of ML workflows Working across AWS (SageMaker), Snowflake, GitLab, and MLflow Contributing to platform design, best practices, and production readiness (Bonus) Experience with Amazon Bedrock What we're looking for Strong ...

monitoring the new ML platform Building robust infrastructure and CI/CD pipelines End-to-end orchestration of ML workflows Working across AWS (SageMaker), Snowflake, GitLab, and MLflow Contributing to platform design, best practices, and production readiness (Bonus) Experience with Amazon Bedrock What we're looking for Strong ...

monitoring the new ML platform Building robust infrastructure and CI/CD pipelines End-to-end orchestration of ML workflows Working across AWS (SageMaker), Snowflake, GitLab, and MLflow Contributing to platform design, best practices, and production readiness (Bonus) Experience with Amazon Bedrock What we're looking for Strong ...

monitoring the new ML platform Building robust infrastructure and CI/CD pipelines End-to-end orchestration of ML workflows Working across AWS (SageMaker), Snowflake, GitLab, and MLflow Contributing to platform design, best practices, and production readiness (Bonus) Experience with Amazon Bedrock What we're looking for Strong ...

monitoring the new ML platform Building robust infrastructure and CI/CD pipelines End-to-end orchestration of ML workflows Working across AWS (SageMaker), Snowflake, GitLab, and MLflow Contributing to platform design, best practices, and production readiness (Bonus) Experience with Amazon Bedrock What we're looking for Strong ...