Senior Deep Learning Engineer developing player - tracking, evaluation, and forecasting models for SumerSports’ football intelligence platform. Driving research threads into production for NFL and NCAA teams.
About the role
- AI/ML Architect at 3Pillar setting the technical direction for scalable AI solutions across multiple domains. Evaluating technologies and aligning AI initiatives with business goals and standards.
Responsibilities
- Define end-to-end architecture for AI/ML solutions
- Serve as a strategic advisor to clients
- Architect scalable solutions using cloud-native AI tools
- Lead integration of Generative AI into enterprise applications
- Design retrieval-augmented generation (RAG) systems
- Guide teams on MLOps frameworks
- Evaluate build-vs-buy decisions for AI tools
- Evaluate emerging technologies in AI space
- Mentor technical teams and strengthen organizational expertise
- Collaborate with leadership to align strategies with business objectives
- Represent the organization at industry events
- Drive cross-functional collaboration to identify opportunities
Requirements
- Master’s degree in Computer Science, Engineering, Mathematics, or a related field with 15+ years of industry experience
- Strong grasp of AI architecture patterns
- Deep experience with Python, ML libraries
- Hands-on with Gen AI APIs
- Experience designing enterprise AI systems with MLOps
- Familiarity with APIs, microservices, and containerization
- Experience in Data Governance, Model Risk Management, and compliance
- Extensive knowledge of machine learning theory, algorithms, and methodologies
- Strong leadership and communication skills
- Demonstrated ability to think strategically and drive innovation
Benefits
- flexible work environment
- global team
- well-being programs
- career growth opportunities
- equal opportunity employer
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
LP
Machine_Learning_Specialist / Data Scientist / AI Developer
LinkedIn Recruiter Post
We are seeking a Machine Learning Specialist / Data Scientist / AI Developer with 6+ years of experience in Python, R, SQL, and machine learning.
Machine Learning Specialist developing AI, models, and analytical data products for the Government of Alberta. Applying machine learning to improve public services and policymaking.
Machine Learning Engineer developing production AI models and scalable MLOps platforms for Wave, which helps small businesses thrive. Collaborating on financial - risk applications, governance, observability, and reliable deployment.
Senior Geospatial ML Engineer building satellite - imagery vegetation intelligence for a climate - tech company. Improving production models and pipelines to help utilities prevent wildfires and outages.
Senior Machine Learning Engineer building scalable recommender systems for Thomson Reuters’ legal, tax, compliance, government, and media platforms. Implementing secure ML products and infrastructure.
ML Engineer scaling Torc Robotics’ simulation platform for autonomous trucks. Embedding with Autonomy teams to operationalize replay, recompute, metrics, visualization, and model integrations.
Senior ML Engineer building production AI services and MLOps platforms for Hyatt, a global hospitality company. Optimizing cloud - based inference, infrastructure, and model operations.
Machine learning engineer developing real - time underwriting models for Affirm’s buy - now - pay - later platform. Productionizing risk systems, feature pipelines, monitoring, and experimentation workflows.
Senior Machine Learning Engineer productizing scalable deep learning models for Movable Ink’s content personalization and AI decisioning platform. Advancing ML infrastructure, inference performance, monitoring, and automated testing.