1023 Senior Java Full Stack Developer Only W2 jobs in Chicago,IL

Rise

Chicago, IL 60695

Duluth Trading Company

Chicago, IL 60290

Ulta Beauty

Bolingbrook, IL 60440

Bachelor's degree in computer science, a related field, or applicable work experience.
10+ years of experience in software development or architecture; minimum of 3+ years in a leadership role
Deep knowledge of AI/ML ecosystems
Experience designing MLOps pipelines and AI Ops frameworks at enterprise scale
Strong understanding of cloud-native architecture (AWS, Azure, Databricks or GCP), MLOps frameworks, and CI/CD principles
Experience with multi-agent architecture concepts: orchestration patterns, tool/skill registry, memory and state management, and agent observability
Experience setting technical standards and coordinating across distributed engineering teams
Proven ability to lead cross-functional engineering teams and deliver enterprise-scale AI solutions.
Comfortable navigating new, novel technology solutions and managing ambiguity to deliver in evolving domains
Familiarity with security and compliance standards for platform operations.
Strong analytical and problem-solving skills with a data-driven mindset.
Excellent communication, project management, and stakeholder engagement skills.
Comfortable with presenting up to senior leadership (VP+ level); able to present technical concepts to non-technical and executive levels

Energy Solutions

Chicago, IL 60603

Intersport

Chicago, IL 60629

Zenith USA

Chicago, IL 60629

MIZKAN AMERICA

Schaumburg, IL 60193

Ulta Beauty

Bolingbrook, IL 60440

Master's degree in Computer Science, Data Science, AI/ML, or equivalent professional experience
10+ years of experience in AI/ML product development or related technical fields
4+ years of experience leading teams of data scientists, AI engineers or architects
Demonstrated success leading AI initiatives in personalization, recommendation systems, computer vision, or operational efficiency
In-depth knowledge of machine learning algorithms, frameworks, and best practices
Hands-on experience with modern ML frameworks (PyTorch, TensorFlow, etc.) and cloud-based AI services
Proven experience with agile methodologies in the context of AI/ML
Strong experience managing the full AI product lifecycle
Track record of implementing successful AI solutions that delivered measurable value
Experience with MLOps practices and tools for model deployment and monitoring
Demonstrated ability to translate complex business problems into AI solution approaches
Excellent communication skills with ability to explain AI concepts to both technical and non-technical audiences
Familiarity with AI governance, ethics, and responsible AI implementation
Ability to work effectively in an onshore/offshore development model
Travel required per the company policy