Founding AI Engineer at Skiffra designing AI native orchestration frameworks leveraging LLMs and real - time data. Collaborating with founders to build intelligent workflows in mining and natural resources.
About the role
- AI Engineer for Wade Trim focusing on machine learning applications in engineering. Collaborating within IT team to innovate and solve complex business challenges.
Responsibilities
- Research and implement advanced machine learning models and algorithms to solve complex business problems.
- Build, train, and optimize AI models using data sets from various sources.
- Collect, preprocess, and analyze large datasets to build AI models and make data-driven decisions.
- Identify the most appropriate machine learning algorithms for given use cases.
- Deploy AI models into production and monitor their performance, making adjustments and improvements as necessary.
- Work closely with data engineers, data scientists, software developers, and other stakeholders to integrate AI solutions into systems and workflows.
- Automate manual tasks by building AI systems that can streamline and optimize processes across the organization.
- Design and execute experiments to validate AI models, ensuring they meet performance and accuracy standards.
- Stay informed of the latest developments in AI technologies and continuously improve models and methodologies.
- Maintain clear documentation of AI systems, processes, and projects for easy handover and scalability.
- Maintain a safe working environment
Requirements
- Masters in AI in Civil Engineering or in Computer Science
- 0-2 years of relevant experience
- Proficient in Python, R, or similar programming languages
- Hands-on experience with machine learning algorithms, deep learning techniques, and AI systems
- Self-motivated and ability to work well with others
- Excellent writing, organizational, and communication skills.
Benefits
- Our excellent salary and benefits package includes medical, dental, vision, life insurance, short and long-term disability coverage, education reimbursement, 401(k), performance bonuses, and an employee stock program.
- Employee Resource Groups and Programs offered include the Young Professionals Group, Women at Wade Trim, Diversity, Equity and Inclusion, Professional Development, Leadership Development, Rotation Program, Mentor Program, Sustainability Program, and Wellness Program.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Lead Applied AI Engineer developing and deploying advanced AI systems to improve healthcare experiences at Humana. Collaborate with teams to integrate AI capabilities into secure healthcare platforms.
Senior AI Engineer on Data Ingestion & AI team at Dovetail, transforming data into actionable insights. Collaborate with engineering to enhance AI features and mentor other engineers.
AI Engineer responsible for training vision - language models for AI Safety company in Paris. Extending capabilities to video and optimizing inference for production environments.
AI Engineer specializing in training audio and multimodal models for AI safety. Work at White Circle, focusing on production - ready solutions for AI systems.
AI Developer at Wealth Management designing and deploying generative AI models into production. Collaborating with teams and optimizing model performance in cloud - native architectures.
Staff AI Engineer responsible for AI integration and project leadership at fintech startup. Leading technical standards and driving architecture for innovative developer tools.
Staff AI Engineer leading AI - native engineering practices for fintech development. Driving technical direction and architecture with a focus on AI code generation and automation.
Staff AI Engineer leading AI engineering initiatives at SpotOn, focusing on innovative software development methods in the fintech industry.
Data - AI Engineering Intern supporting data engineering and AI initiatives at Berkshire Hathaway GUARD Insurance Companies. Collaborating with Senior Data Engineers to build and maintain data pipelines and AI features.