AI Engineer

TECHEAD is celebrating over thirty-five years of incredible heritage, talent, and accomplishments! To learn more about TECHEAD, visit us at TECHEAD.com or on Glassdoor.Senior AI Engineer | 22284Direct HireRemote | Richmond, VALocal Candidates Preferred for occasional MeetingsJob Summary:The AI Engineer III is responsible for advanced analytics applying statistical, mathematical, and computational models to diverse datasets to solve clinical and business problems and identify breakthrough opportunities. This position performs sophisticated data analytics by designing, developing, and deploying quantitative models and other analytics tools. Working with a multi-disciplinary team of Data Engineers, Data Architects, BI Developer and operational SME’s. The AI Engineer will work on complex business problems and provide actionable insights with the overarching goal of improving clinical and financial outcomes.Job Responsibilities:Develop predictive models and machine learning algorithms that clinicians and staff will use to improve patient care, healthcare operations and financial performance.Develop and deploy LLM based Agentic AI and automation solutions using RAG or fine-tuning foundation models.Conduct rigorous model evaluation, including performance testing and bias assessment, to ensure the ethical and reliable deployment of AI systems.Mentor and guide junior members of the team sharing expertise in AI/ML techniques, model development, and deployment best practices.Design and implement RESTful APIs to integrate ML models or GenAI solutions with other applications and systems within the organization. nullSkills: Required Skills & Experience:Eight (8) years of experience in Machine Learning or Artificial Intelligence tools and technologies.Five (5) years of experience in Python or R and SQL.Two (2) years of experience as a Full Stack Machine Learning Engineer or similar role.Experience working with unstructured data, NLP technologies, and big data.Experience working with open-source ML libraries or frameworks such as PyTorch, TensorFlow, Keras, or Numpy.Experience with foundation models, prompt engineering, fine-tuning, or RAG.Experience working with cloud technologies such as AWS, Azure, or GCP.Preferred Skills & Experience:Two (2) years of experience in a healthcare environment.Knowledge of data management, data warehousing, data engineering, and data governance concepts.Displays intellectual curiosity and integrity.Experience in a healthcare environment. nullEducation: Required Education:Bachelor’s Degree in Business, IT, Math, Data Analytics, Engineering, or related discipline.Preferred Education:Master’s Degree in Business, IT, Math, Data Analytics, Engineering, or related discipline.Required Skills:MACHINE LEARNINGARTIFICIAL INTELLIGENCEPYTHONRSQLAdditional Skills:FULL STACK MACHINE LEARNING ENGINEERINGUNSTRUCTURED DATANLP TECHNOLOGIESBIG DATAPYTORCHTENSORFLOWKERASNUMPYFOUNDATION MODELSPROMPT ENGINEERINGRAGAWS | AZUREGCPDATA WAREHOUSINGDATA ENGINEERINGDATA GOVERNANCETECHEAD's mission is to make our on-site associates successful by placing them in the right environment so they can grow and prosper. How we treat and respond to our clients and employees is a reflection of who we are and makes us stand out from the rest. Keeping our business focused on building and maintaining relationships with our employees and clients is the key to our success. We won't strive for anything less.TECHEAD provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.For more information on TECHEAD please visit www.techead.com.No second parties will be accepted.