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Developer Operations Engineer Kubernetes Jobs in Connecticut

Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc. • Live within ... SysOps Administrator, DevOps Engineer, Solutions Architect) • 1+ years of experience with GPU ...

Operations Engineer

Greenwich, CT · On-site

$95K - $119K/yr

Job Summary The Operations Engineer is responsible for providing operational and engineering review and evaluation in support of Supply Operations goals and objectives with an emphasis on treatment ...

Operations Engineer

Greenwich, CT · On-site

$95K - $119K/yr

Job Summary The Operations Engineer is responsible for providing operational and engineering review and evaluation in support of Supply Operations goals and objectives with an emphasis on treatment ...

Job Summary The Operations Engineer is responsible for providing operational and engineering review and evaluation in support of Supply Operations goals and objectives with an emphasis on treatment ...

Senior AI Engineer - SFL Scientific

Stamford, CT · On-site

$111K - $153K/yr

Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc. • Live within ... SysOps Administrator, DevOps Engineer, Solutions Architect) • 2+ years of experience with GPU ...

Lead Platform Engineer

Hartford, CT · Hybrid

$103K - $136K/yr

Certification in Azure DevOps, Kubernetes, and Azure Administration preferred. #LI-LW1 Compensation Pay Disclosure: Voya is committed to pay that's fair and equitable, which means comparable pay for ...

IAM Operations Engineer

Hartford, CT · Remote

$126K - $208K/yr

Identity and Access Management (IAM) team within Travelers Cybersecurity organization is seeking IAM Operations Engineer to join the IAM Operations support team. Responsible for reviewing servers and ...

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AI Engineer - SFL Scientific

AI Engineer - SFL Scientific

Deloitte

Stamford, CT • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

55th of 139 rated financial services


Job description

Job Summary:
Deloitte is a leading professional services firm that helps clients navigate critical moments and transformational initiatives. They are seeking an AI Engineer to work alongside data scientists and machine learning engineers to develop AI infrastructure and deployment services, focusing on modern data architecture and solutions for various industries.
Responsibilities:
• Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications
• Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies
• Participate in the design and development on scalable, high-performance data architecture solutions that supports both the client business as well as AI/GenAI use cases
• Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiatives
• Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on prem
• Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns
• Participate in technology proof of concepts to ensure feasibility of new data and cloud technology solutions
• Display thought leadership and execution in pursuit of modern data architecture principles and technology modernization
Qualifications:
Required:
• Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience
• 2+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment
• 2+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)
• 2+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.
• 2+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins
• 2+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)
• 2+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc.
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred:
• Master's degree in Computer Science, Engineering, Physics, etc. or related STEM field
• AWS/Azure Certifications (AWS/Azure Certified: SysOps Administrator, DevOps Engineer, Solutions Architect)
• 1+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack
• Experience in a client facing role
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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