|Title:||Machine Learning Engineer - Data Science|
|Job Location:||, Virginia - United States|
|Salary:||$80,000.00 - $150,000.00 - US Dollars - Yearly|
|Employer Will Recruit From:||Nationwide|
Quality of work life with advancement to grow are intricate to the company’s success. Their positions are not just a job but they are great career opportunities. Premium positions for premium talent!
My client provides an outstanding work environment for its employees with excellent benefits and highly competitive compensations. Employees will enjoy tuition reimbursements, 401(k), profit sharing, health and welfare benefits, gym, needed subsidies for training and conference attendance to foster continued learning and development, and a focused casual yet technically challenging work environment.
As a Machine Learning Engineer – Data Science, you will develop, implement, and evaluate statistical machine learning algorithms to uncover hidden information and patterns from a diverse collection of massive datasets.
You will apply state of the art and novel techniques such as supervised and unsupervised learning, machine learning, and deep learning to problems such as classification, anomaly detection, and forecasting.
You will develop cutting edge systems and work collaboratively with our software engineers to design and deploy models into production. You will interact with customers to understand requirements and apply iterative feedback to development.
You will also interact with customers to understand requirements and apply iterative feedback to development.
All applicants must be a US citizen and willing to obtain a U.S. Security Clearance
A U.S. citizen and have ability to obtain and maintain a security clearance.
Degree in a scientific field such as Computer Science, Math, Statistics, Data Science, or Physics.
Motivated collaborator who’s comfortable communicating to both technical and non-technical audiences.
Previous experience (internships and academic work included) working with complex datasets and building statistical, machine learning, or deep learning models.
Proficiency with a one or more programming language such as Python, MATLAB, Java, or C++.
Understanding of and experience with statistical and machine learning techniques.
Highly Desired Qualifications:
Active TS or TS/SCI security clearance
Experience with one or more deep learning frameworks such as PyTorch or Tensorflow.
Experience working with large datasets and familiarity with big data infrastructure, such as AWS, Hadoop, Spark, Dask, or MapReduce.
MS or PhD in a scientific field such as Computer Science, Statistics, Mathematics, or Physics.
Specialized expertise in a data-rich field such as time-series analysis, graph analytics, geospatial analysis, image processing, or Bayesian programming..
Track record of developing, implementing, and evaluating statistical algorithms against real datasets
University - Bachelor's Degree/3-4 Year Degree