Kforce has a client that is seeking a Lead Artificial Intelligence Engineer in Austin, TX.About Us:Our client is a leading financial technology company dedicated to harnessing the power of artificial intelligence to drive innovation and solve complex challenges. We pride ourselves on a culture of excellence, creativity, and collaboration, and we're seeking a skilled Artificial Intelligence Engineer to join our dynamic team.Role Overview:As a Lead Artificial Intelligence Engineer, you will play a key role in developing and implementing AI solutions that contribute to the advancement of our products and services. Working closely with cross-functional teams, you will leverage your expertise in machine learning, deep learning, and natural language processing to design and deploy innovative AI models.Key Responsibilities:
Team Guidance: guide the AI team and work with the senior leadership team to define and implement the company's first AI initiatives; The team will consist of 4 members
Algorithm Development: Design, develop, and implement machine learning algorithms and models to address specific business challenges and enhance product functionality
Data Processing and Analysis: Work with large datasets to preprocess, clean, and analyze data for model training and validation
Model Training and Evaluation: Train, evaluate, and fine-tune machine learning models, ensuring high accuracy and reliability
Deployment and Integration: Collaborate with software engineers to integrate AI models into existing systems and applications, ensuring seamless deployment and functionality
Research and Innovation: Stay informed about the latest developments in AI and machine learning, and actively contribute to the exploration of new technologies and methodologies
Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Proven experience in defining, developing, and deploying machine learning models in real-world applications
Strong programming skills in languages such as Python, TensorFlow, PyTorch, or similar
Solid understanding of machine learning algorithms, deep learning architectures, and natural language processing techniques
Experience with data preprocessing, feature engineering, and model evaluation
Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) for scalable AI model deployment
Excellent problem-solving and analytical skills
Strong communication and collaboration skills
Benefits:
Competitive salary and benefits package
Opportunities for professional development and continued learning
Collaborative and innovative work environment
Health and wellness programs
Inclusive and diverse workplace culture
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
Compensation Type:YearsMinimum Compensation:200000.00Maximum Compensation:280000.00