AI Implementation Engineer - Copperleaf (US)
AI Implementation Engineer - Copperleaf (US)
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Salary Not Disclosed
1 Vacancy
Job Description
Role Overview
As an AI Implementation Engineer youll lead the deployment and operationalization of advanced AI/ML models in production environments. You will work closely with data scientists software engineers and client teams to ensure scalable secure and reliable model integration. Your contributions will enable real-world decision-making powered by machine learning and advanced analytics.
Key Responsibilities
- Own the technical implementation of AI models across internal and client-facing systems
- Design and maintain robust reusable deployment pipelines and MLOps workflows
- Integrate AI solutions with enterprise platforms and APIs
- Monitor validate and tune models post-deployment to ensure quality and performance
- Identify and resolve production issues through root-cause analysis and debugging
- Collaborate with cross-functional teams to understand use cases and translate into system requirements
- Mentor junior engineers and promote knowledge-sharing within the team
- Contribute to continuous improvement of deployment standards tooling and practices
Qualifications :
Qualifications & Experience
Must-Have
- Bachelors or Masters degree in Computer Science Engineering or a related field
- 35 years of experience in AI/ML engineering MLOps or software development
- Strong proficiency in Python Git and CI/CD automation
- Experience with cloud platforms (AWS Azure or GCP) and containerization (Docker Kubernetes)
- Solid understanding of model lifecycle management and monitoring best practices
- Excellent technical documentation and communication skills
Nice-to-Have
- Experience with ML frameworks (TensorFlow PyTorch) and tools like MLflow or SageMaker
- Familiarity with security compliance and data governance in AI systems
- Knowledge of time series NLP or optimization models
- Previous work with edge deployments or streaming pipelines
Core Skills & Competencies:
Technical / Hard Skills
- MLOps tooling DevOps cloud-native architectures
- Data engineering and transformation pipelines
- API and system integration
Behavioral / Soft Skills
- Analytical thinker with a systems mindset
- Proactive problem solver and technical leader
- Effective communicator with a collaborative approach
- Comfortable balancing delivery speed with engineering quality
Travel Requirements
- Occasional travel (<10%) depending on project needs
Additional Information :
What Were Offering
- Salary Range: $115000 to $150000 annually bonus
- Flexible paid time off including sick and holiday
- Medical dental & vision insurance
- 401K with Company contribution
- Flexible spending accounts
- Life insurance and disability benefits
- Tuition assistance
- Community involvement and volunteering events
M/F/Disabled/Vet VEVRAA Federal Contractor. We are a Drug-Free Workplace. Interested candidates should apply at: qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran. VEVRAA Federal Contractor Equal Opportunity Employer
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.
All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran. VEVRAA Federal Contractor Equal Opportunity Employer
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
