RESPONSIBILITIES:
Kforce has a client that is seeking an LLM/AI Engineer in San Diego, CA.Summary:The AI Engineer is responsible for the development and implementation of advanced artificial intelligence systems. This role involves designing, programming, and training complex algorithms that emulate human cognitive processes. Key responsibilities include managing and processing large datasets, developing, and testing machine learning models, and integrating these models into applications using API calls or embedded code. The position requires a strong foundation in software development, data science, and data engineering, as well as a deep understanding of machine learning principles. The AI Engineer will collaborate with cross-functional teams to bring AI-driven solutions to life, enhancing the functionality and user experience of various application.Essential Functions:- Source relevant data from various channels, including databases, online sources, and internal systems, essential for training AI models
- Process raw data to make it suitable for use in machine learning, which includes cleaning, normalizing, and segmenting the data
- Create machine learning models using appropriate algorithms and techniques to solve specific business problems or enhance application capabilities
- Rigorously test AI models to ensure their accuracy, reliability, and robustness, and validate them against predefined metrics
- Seamlessly integrate AI models into existing software applications, employing API calls or embedded code for smooth functionality
- Continuously optimize AI systems for better speed, efficiency, and accuracy, ensuring they meet the required performance standards
- Identify and fix bugs or issues in AI models and their integration into applications, ensuring smooth operation
- Keep abreast of the latest advancements in AI, machine learning, and related technologies to incorporate cutting-edge solutions
REQUIREMENTS:
- Bachelor's or Master's degree directly related to the position or equivalent, required; Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field
- Advanced knowledge and experience working with Python
- Proficiency in other programming languages such as Java, R, or Scala is a plus
- Experience with machine learning frameworks like TensorFlow, Keras, PyTorch, or similar
- Strong understanding of algorithms and data structures
- Knowledge of AI principles and technologies, including neural networks, NLP, and computer vision
- Experience working with cloud cognitive services in Azure, AWS, Google, etc.
- Problem solver with an ability to work as a team towards a solution
- Ability to prioritize multiple tasks in a deadline-driven environment, strong sense of urgency and responsiveness
- Strong detail orientation and highly organized with proven ability to lead effectively and drive results in a matrixed management environment
- Ability to think critically, including the ability to evaluate facts and data to draw conclusions, determine the downstream impact of decisions and associated risks
- Excellent verbal and written communication skills plus demonstrate strong leadership capabilities
- Strong interpersonal and team building skills
- Self-starter with the demonstrated ability to learn/adapt to new technologies and techniques
- Excellent verbal and written communication skills required
- Highly organized and detail-oriented; Ability to work in a fast-paced, metrics-driven environment required
- Proficiency in Microsoft Office Suite, Word, Excel, Wiki, collaborative cloud-based programs, and third-party software applications required
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.
By clicking "Apply Today" you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
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