Position Title: Senior AI/ML Engineer                              

Department: Development/Engineering 

FLSA Status: Exempt                              

Shift: Day 

Work Location: On-site in Lake Mary, FL 

Position Summary: 

The Senior AI/ML Engineer will spearhead the design, development, and deployment of AI/ML models and solutions, ensuring alignment with enterprise architecture and global best practices. This position requires deep technical expertise, hands-on experience with cutting-edge technologies, and a history of impactful contributions to AI/ML projects within global organizations. The role offers opportunities to innovate and shape industry-leading solutions while enhancing and expanding technical capabilities. 

Essential Duties and Responsibilities:  

The essential duties of the position include the following, and other duties may be assigned: 

1. Architect, design, develop, and implement AI/ML solutions to solve complex business challenges. 
2. Develop and optimize computer vision and deep learning models, deploying them in production environments and on edge devices. 
3. Collaborate with global teams, including Data Science, Machine Learning, and Platform Engineering, to ensure scalable, production-quality deployments. 
4. Establish governance frameworks for sustaining AI/ML model performance and addressing evolving business needs. 
5. Oversee the lifecycle of AI/ML projects, from research and development to deployment and iteration. 
6. Conduct advanced performance analysis and data optimization to drive continuous improvement of AI systems. 
7. Lead R&D initiatives to explore new technologies and methodologies within the AI/ML landscape. 
8. Stay at the forefront of industry trends, integrating innovative techniques into ongoing projects. 
9. Implement and document data governance strategies, including data security, masking, and compliance with global standards. 
10. Partner with international vendors and teams to ensure data accuracy and model reliability across diverse datasets. 
11. Build project charters, manage timelines, and oversee end-to-end execution of AI/ML initiatives. 

Supervisory Responsibilities:  

Yes 

Qualifications:  

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

Education/Experience:  

Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred. 7+ years of experience in AI/ML engineering, with a focus on large-scale, enterprise-level systems. Proven experience working with global AI/ML companies or projects spanning multiple geographies. Demonstrated success in deploying production AI/ML models, including governance and lifecycle management. Expertise in algorithms such as k-NN, SVM, Decision Forests, GANs, and more. Advanced knowledge in Computer Vision, Audio/Video/Image Processing, and Deep Learning techniques. Experience with frameworks like CUDA, OpenCL, and SLAM. Deep understanding of data governance, data masking, and data security methodologies. Proficiency in languages like Python, R, SQL, and Java. Familiarity with NoSQL and relational database systems. Supervisory experience is essential, including managing and collaborating with global teams and leading a team of at least 3-4 AI/ML engineers. 

Language Ability:  

Strong written and verbal communication skills with the ability to articulate complex concepts clearly. Exceptional communication skills, including the ability to present complex ideas to technical and non-technical stakeholders. 

Math Ability:  

Advanced mathematical skills, including the ability to compute complex algorithms, ratios, and statistical models.  

Reasoning Ability:  

Exceptional critical thinking, problem-solving, and adaptability to resolve technical challenges effectively. Excellent analytical skills, with the ability to translate business needs into technical solutions. 

Computer Skills:  

High proficiency in machine learning frameworks, development environments, and data tools. Strong familiarity with Microsoft Office products, web technologies, and CRM platforms. 

Certificates and Licenses:  

Relevant certifications in AI/ML, data engineering, or cloud platforms are a plus. 

Travel:  

This position does not require travel. 

Work Environment:  

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job in an office environment. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. A typical, climate-controlled office environment exists. The worker is not substantially exposed to adverse environmental conditions. 

ISM and Privacy Statement: 

1. Data Security and Encryption: Ensure that sensitive data, especially personal and financial data, is encrypted and securely stored within systems. 
2. Access Control and Authorization: Implement role-based access controls and ensure that system permissions align with job functions. 
3. System Security: Perform regular security audits, vulnerability testing, and maintain a secure development environment to avoid unauthorized data access. 
4. Compliance with Privacy Laws: Ensure compliance with privacy regulations (e.g., GDPR) and data retention policies when handling personal data.