Jobs with World Wide Technology
(Found 127 Jobs)
MLOps Engineer
World Wide Technology
QUALIFICATIONS: Experience applying continuous integration/continuous delivery best practices, including Version Control, Trunk Based Development, Release Management, and Test-Driven Development Expe...
Sep 19, 2024
Home, KS
Arista L3 Engineer
World Wide Technology
Education: Bachelor’s degree in Computer Science, Information Technology, Network Engineering, or a related field. Equivalent work experience will be considered. Experience: Minimum of 5 yea...
Sep 19, 2024
Home, KS
Solutions Security Delivery Manager- OEM Security
World Wide Technology
Qualifications Bachelor’s Degree in Arts/Sciences (BA/BS) Computer Science, Information Technology, Cybersecurity Working knowledge of standard regulatory mandates and requirements such as GDPR...
Sep 19, 2024
Saint Louis
Principal Security Solution Architect
World Wide Technology
Qualifications: Bachelors degree in Systems Engineering, Computer Science, Information Systems, Engineering, or a related field is required. A minimum of 15 years' progressive experience in a r...
Sep 19, 2024
Saint Louis
Solutions Security Delivery Manager- Segmentation & Zero Trust
World Wide Technology
Qualifications Bachelors degree preferred CISSP, CISM, CISA or compliance certifications desired 5-10 years’ experience in: Leadership (prior roles with management or higher titles) Zero-tr...
Sep 19, 2024
Saint Louis
QUALIFICATIONS:
- Experience applying continuous integration/continuous delivery best practices, including Version Control, Trunk Based Development, Release Management, and Test-Driven Development
- Experience with popular MLOps tools (e.g., Domino Data Labs, Dataiku, mlflow, AzureML, Sagemaker), and frameworks (e.g.: TensorFlow, Keras, Theano, PyTorch, Caffe, etc.)
- Experience with LLM platforms (OpenAI, Bedrock, NVAIE) and frameworks (LangChain, LangFuse, vLLM, etc.)
- Experience in programming languages common to data science such as Python, SQL, etc.
- Understanding of LLMs, and supporting concepts (tokenization, guardrails, chunking, Retrieval Augmented Generation, etc.).
- Knowledge of ML lifecycle (wrangling data, model selection, model training, modeling validation and deployment at scale) and experience working with data scientists
- Familiar with at least one major cloud provider (Azure, AWS, GCP), including resource provisioning, connectivity, security, autoscaling, IaC.
- Familiar with cloud data warehousing solutions such as Snowflake, Fabric, etc.
- Experience with Agile and DevOps software development principles/methodologies and working on teams focused on delivering business value.
- Experience influencing and building mindshare convincingly with any audience. Confident and experienced in public speaking.
- Ability to communicate complex ideas in a concise way. Fluent with popular diagraming and presentation software.
- Demonstrated experience in teaching and/or mentoring professionals.
Want to learn more about SC&E Check us out on our platform: http://www.wwt.com/consulting-services-careers