Senior devops engineer • chicago il
The ideal candidate will have advanced expertise in.This role involves architecting intelligent solutions, guiding AI strategy, and mentoring junior engineers, while ensuring scalability, security,...Show more
Our team is dedicated to ensuring the seamless operation of all user-facing services, as well as production and development systems.We manage Venmo’s infrastructure comprehensively, encompassing op...Show more
Role: Senior DevOps Engineer (8+ years).Must be legally authorized to work in the United States for any employer without sponsorship.You will drive operational excellence, collaborate with developm...Show more
Join our well-established and growing engineering consulting firm, where we’re dedicated to delivering impactful municipal, water infrastructure, and land development projects.As a Senior Civil Eng...Show more
Integral Ad Science (IAS) is a global technology and data company that builds verification, optimization, and analytics solutions for the advertising industry and we’re looking for a.Do you have th...Show more
At Brookfield Properties, our people are the foundation of our success.The Brookfield Properties Corporate team brings together subject matter experts who lead with confidence, adaptability, and re...Show more
We are seeking a motivated and detail-oriented.The ideal candidate will have foundational experience in cloud platforms, automation, and CI/CD processes.You will work closely with development and o...Show more
TRC has long set the bar for clients who require more than just engineering, combining science with the latest technology to devise innovative solutions that stand the test of time.From pipelines t...Show more
DevOps is part of a global organization that leverages the latest technology to communicate with our colleagues across the globe.We organize ourselves into distributed teams -- DevOps teams are anc...Show more
AI platform that spans Windows, Android, and cloud.As part of this vision, we are expanding the engineering organization supporting.Lenovo’s cross‑device Personal AI.Qira’s AI systems acrossdevice,...Show more
Job Title: DevOps Engineer – Data & AI Platforms.DevOps Engineer – Data & AI Platforms.This role is ideal for someone who can bridge traditional DevOps practices with the unique demands of data eng...Show more
CI/CD pipelines that support the full software development lifecycle.You will work closely with Wolters Kluwer Product Teams to embed DevOps best practices into agile workflows, enabling continuous...Show more
Independent Infrastructure Ownership:.Propose and implement architectural approaches for cloud infrastructure components across.Own the lifecycle of environments using.Kubernetes application deploy...Show more
DevOps Engineer II Long term contract- 2+ years 100% remote in the continental US Our client is dedicated to serving our nation's military and Veterans.They have the honor to support federal agenci...Show more
Why This Is a Great Opportunity.Join a modern proprietary trading firm where DevOps directly impacts live trading performance.Work shoulder to shoulder with software engineers, traders, and quants ...Show more
Chicago, IL - Locals are preferred.Bonus/ Incentives/ Stock Options: .Medical, Dental, Vision, 401k, PTO.This is a Full time, permanent position and is not open to sponsorship, 3rd party representa...Show more
We’re supporting a firm known for investing in industry game changers.They are not a startup but are intentionally lean.They look for entrepreneurial-minded engineers who can build from 0-1.They're...Show more
Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS087, T3, Band 6 Job-Specific Essential Duties and Responsibilities: - Designs, implements, and maintains DevSecOps pip...Show more
Publicis Re:Sources is the backbone of Publicis Groupe, the world’s most valuable agency group.We are the only full-service, end-to-end shared service organization in the industry, enabling Groupe ...Show more
The average salary range is between $ 125,000 and $ 183,650 year , with the average salary hovering around $ 145,000 year .
The average salary range is between $ 126,096 and $ 177,199 year , with the average salary hovering around $ 142,799 year .
We are seeking a Senior AI Engineer with more than six years of experience designing, developing, and maintaining AI-based systems. The ideal candidate will have advanced expertise in Python, R, and Java, with deep knowledge of machine learning algorithms, neural networks, data modeling, and secure AI practices. This role involves architecting intelligent solutions, guiding AI strategy, and mentoring junior engineers, while ensuring scalability, security, and compliance in enterprise AI systems.
Lead the design, development, and deployment of AI and machine learning systems.
Architect secure AI models using encryption methods and compliance standards.
Build and optimize neural network–based solutions to address business needs.
Translate business requirements into scalable AI/ML models and intelligent applications.
Oversee data modeling, engineering, and preprocessing pipelines.
Integrate cloud-based AI and machine learning services (AWS SageMaker, Azure ML, GCP AI).
Drive MLOps practices for continuous deployment, monitoring, and retraining of models.
Communicate complex AI concepts effectively to both technical and business stakeholders.
Mentor junior AI engineers and contribute to AI capability building across teams.
Ensure compliance with secure AI development practices and emerging AI governance frameworks.
Advanced expertise in Python, R, and Java for AI/ML development.
Strong knowledge of machine learning models, algorithms, and encryption methods.
Deep understanding of neural networks and their applications in AI solutions.
Expertise in data modeling, engineering, and preprocessing.
Proficiency in secure AI practices, including compliance and governance.
Familiarity with cloud-based AI/ML services (AWS, Azure, GCP).
Strong ability to communicate AI concepts to technical and non-technical audiences.
Experience designing AI/ML architecture at the enterprise level.
Hands-on experience with MLOps pipelines (CI/CD for ML, monitoring, retraining).
Knowledge of deep learning frameworks (TensorFlow, PyTorch, Keras).
Familiarity with ethical AI practices and emerging regulatory standards.
Leadership experience mentoring AI teams or leading research initiatives.
Exposure to big data ecosystems (Hadoop, Spark, Kafka) for large-scale AI training.
