Machine Learning Engineer - Python

Machine Learning Engineer - Python

Job Category: Science

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI with Polygraph

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Local

CACI's SAFFIRE team is seeking a highly skilled Data Scientist with an emphasis on Machine Learning Engineer experience and expertise in Python to join our cutting-edge Geospatial Intelligence analysis software development and operations. The SAFFIRE team is dedicated to building and maintaining a powerful platform that transforms diverse data into actionable intelligence, addressing real-world challenges. In collaboration with operational users, you will play a crucial role in designing, developing, and maintaining deep learning models in a production MLOps environment.

What You’ll Get to Do:

As a Machine Learning Engineer supporting the SAFFIRE program, you will be working closely with software developers and teams to maintain and sustain deep learning models used in a production MLOps environment. Your role will be critical in maintaining and improving neural network model performances through ever-changing and ever-growing datasets and will require creative thinking and efficient delivery of solutions.  You will be a key member of the team, where the rubber meets the road, doing work that matters for some of the U.S. Government’s most critical missions, and utilizing the latest technologies in Cloud Computing, AI/ML, and DevSecOps.

At the Interview, we’d like to tell you about:

• The SAFFIRE team and our mission
• The SAFFIRE platform, technologies used, and our software development approach
• Contract details, program structure, and our customers
• Our comprehensive benefits package

You’ll Bring These Qualifications:

• A current Top Secret or Top Secret SCI clearance and polygraph preferred
• 5+ years of experience in data engineering and cloud data processing services (AWS Cloud)
• Knowledge of neural networks and deep learning models
• Excellent programming skills in Python
• Strong analytical and problem-solving skills
• Effective communication skills

These Qualifications Would Be Nice to Have:

• AWS Certification (Developer, DevOps, Architect, etc.)
• Security+ Certification
• Experience with cloud-based data platforms/databases like ElasticSearch
• Experience with Big Data ingest and processing technologies (ETL, Hadoop, Elasticsearch for Hadoop, SQL schemas and queries, Kafka, Spark)
• Experience with MLOps environments and technologies
• Experience with development in microservice-based architectures
• Knowledge of Neural nets and deep learning models
• Experience with Computer Vision problem sets
• Knowledge of and experience with Geospatial data and technologies

What We Can Offer You:

• Flexible work arrangements
• Competitive benefits and learning and development opportunities
• Mission-oriented work aligning with the nation’s highest priorities
• CACI’s unique, character-based culture supporting over 60 years of success

Company Overview: At CACI, you will have the opportunity to make an immediate impact by providing information solutions and services in support of national security missions and government transformation for Intelligence, Defense, and Federal Civilian customers. CACI is an Equal Opportunity/Affirmative Action Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic. 

Pay Range: The proposed salary range for this position is $89,500-$188,000. There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. Employment benefits include health and wellness programs, income protection, paid leave and, life insurance, retirement and savings.