Are you looking for the next exciting project opportunity with a great company? Our professional recruiting staff at CC Pace is here to support you in every step of the process! We have been in business for nearly four decades and have deep roots in the Washington, DC, metro area. Our direct client relationships with companies in various industries and sizes help us find the right opportunity for our candidates. We offer competitive rates, healthcare & dental, 401k, FSA, LTD, lots of voluntary benefits, and tons of discount perks. Our team is standing by, ready to help you get started today! Responsibilities: Build and enhance machine learning models through all development phases, including design, training, validation, implementation, etc. Unlock insights by analyzing large-scale complex numerical and textual data and identifying trends. Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects. Research and evaluate emerging technologies. Develop data science solutions based on tools and cloud computing infrastructure. Perform other duties as assigned. Qualifications: Bachelor’s degree in computer science, mathematics, physics, statistics, or related field. Strong experience applying expertise in model design, training, validation, and monitoring. Excellent understanding of machine learning, statistical modeling, algorithms, and their benefits and drawbacks. Advanced skills with Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code and other languages appropriate for large data analysis. Experience with cloud computing infrastructure. Advanced SQL skills. Experience with data visualization concepts and tools. Ability to convey complex business problems to technical solutions. Ability to work individually and as part of a team. Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management. Desired: Advanced degree in in computer science, mathematics, physics, statistics, or related field. Experience with Natural Language Processing. Experience with deep learning frameworks and infrastructure like TensorFlow or PyTorch. Experience and/or willingness to learn techniques in Large Language Models (LLMs) and Generative AI. A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA. Experience and/or willingness to research, develop, implement, and fine-tune LLMs in terms of specific domain knowledge and user cases. Knowledge of Machine Learning Ops and CI/CD tools for automation of build, testing, and deploying models in production environments. An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. EEO IS THE LAW CC Pace invites any applicant and/or employee to review the Company’s written Affirmative Action Plan. This plan is available for inspection upon request. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact us. #J-18808-Ljbffr
C++ Natural language processing (NLP) jupyter-notebook SQL jupyter-lab Python Machine Learning TensorFlow Visual Studio Code cuda PyTorch