Job#: 2049032
Job Description:
Machine Learning Engineer (Job Description)Responsibility:
* Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc.
* Unlock insights by analyzing large scale of 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 with applying expertise in model design, training, validation, and monitoring.
* Excellent understanding of machine learning, statistical modeling, and algorithms as well as 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 framework and infrastructure like TensorFlow or PyTorch.
* Experience and/or willing to learn techniques in Large Language Models (LLMs) and Generative
AI.
* A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA.
* Experience and/or willing to research, develop, implement, and fine-tuning LLMs in terms of specific domains knowledge and user cases.
* Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments.
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178.
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
VEVRAA Federal ContractorWe request Priority Protected Veteran & Disabled Referrals for all of our locations within the state.We are an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. The EEO is the Law poster is available here.
