AI / ML Engineer

About the role

The ideal candidate will possess a strong background in programming, statistical analysis, machine learning, and data preparation, ensuring effective data analysis and informed decision-making.

Responsibilities

• Develop and implement data-driven solutions using programming languages such as Python and R
• Conduct statistical analyses, including regression, hypothesis testing, and distribution analysis, to interpret data accurately
• Design and train machine learning models using frameworks like TensorFlow and Scikit-Learn for predictive analytics and automation
• Perform data wrangling to clean and organize raw datasets, making them ready for meaningful analysis
• Collaborate with cross-functional teams to understand business needs and deliver actionable insights

Requirements

• 14 years of experience in software engineering in similar programs and contracts utilizing programming languages such as: C++, Python, or Go Lang
• Bachelor’s degree in Systems Engineering, Computer Science, Computer Engineer, or a related field
• 4 years of relevant experience can substitute for a Bachelor’s degree
• Strong foundation in statistics and probability, including regression analysis and hypothesis testing
• Hands-on experience with machine learning frameworks such as SageMaker, TensorFlow and Scikit-Learn
• Expertise in data wrangling to prepare raw data for analysis
• Excellent problem-solving and analytical skills
• Familiarity with libraries like NumPy, pandas, and advanced visualization tools
• Experience in creating impactful data visualizations and reports for stakeholders
• Ability to work independently and in a collaborative team environment

Qualifications

• Security Clearance: Must have an active TS/SCI with polygraph level clearance

Skills

• Programming Languages: C++, Python, Go Lang
• Statistical Analysis: Regression, Hypothesis Testing, Distribution Analysis
• Machine Learning Frameworks: TensorFlow, Scikit-Learn
• Data Wrangling: Clean and Organize Raw Datasets
• Problem Solving and Analytical Skills
• Libraries: NumPy, pandas, Advanced Visualization Tools
• Data Visualizations and Reports
• Team Collaboration

Benefits

• Not specified

Pay

• $120,500—$221,800 USD

Schedule

• Not specified