Address
Form of workJob Highlights:
RGi 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 RGi 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.
As a Machine Learning Engineer supporting the 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.
Clearance:
Active Top Secret/SCI clearance required
US Citizenship required
As a Software Engineer you will...
Software Engineer Qualifications:
Additional Skills we'd like to see:
$80,000 - $180,000 a year
Who we are:
Reinventing Geospatial, Inc. (RGi) is a fast-paced small business that has the environment and culture of a start-up, with the stability and benefits of a well-established firm. We solve complex problems within geospatial software development and national defense to make an Immediate Impact for our nation's soldiers and analysts.
We pride ourselves on giving employees an exceptional life experience, where creativity thrives, and challenges are simply part of the fun. We provide truly excellent benefits, including:
• 100% paid employee healthcare & dental insurance
• Paid parental leave
• 401k with matching
• Escalating vacation time
• Referral bonuses
• Tuition reimbursement
• Professional development training
• Free beverages and snacks
• Weekly catered lunches and breakfast on Fridays
Grow to be our next leader:
At RGi, fostering a strong and organic corporate culture is paramount and serves as a compass on the decisions we make and how we operate the company. We believe our culture of camaraderie, innovation, and collaboration reflects the caliber of our employees and their dedication to the mission of providing quality software to our customers. As such, we want our employees to feel empowered to seek growth and leadership opportunities within the company and position us to maintain our culture as we grow. RGi provides opportunities, resources, training, and mentorship to all our employees to let them take control of their careers and become a leader or a crucial member of our company. If this is what you are looking for in a company, then you are what we are looking for in an employee.
Reinventing Geospatial, Inc. is an Equal Opportunity Employer committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship is required for all positions.
RGi 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 RGi 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.
As a Machine Learning Engineer supporting the 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.
Clearance:
Active Top Secret/SCI clearance required
US Citizenship required
As a Software Engineer you will...
- Lead the research, design, and development of software applications for cutting-edge Geospatial Intelligence analysis
- Develop solutions that automate the integration of disparate data sources and technologies
- Define, deploy, and manage next generation data fabric to enable information transparency and data quality across systems
- Use deep learning modeling tools to design, build, optimize, and maintain conceptual, logical, and physical data models
- Design, create, maintain, and improve the data infrastructure to successfully implement a data fabric in an enterprise framework that automates data discovery
- Develop and recommend modern architecture components
Software Engineer Qualifications:
- 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
- Experience working under Agile methodologies
- Knowledge of DevOps practices and processes
- Geospatial development or engineering background
- Effective communication skills
Additional Skills we'd like to see:
- 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
$80,000 - $180,000 a year
Who we are:
Reinventing Geospatial, Inc. (RGi) is a fast-paced small business that has the environment and culture of a start-up, with the stability and benefits of a well-established firm. We solve complex problems within geospatial software development and national defense to make an Immediate Impact for our nation's soldiers and analysts.
We pride ourselves on giving employees an exceptional life experience, where creativity thrives, and challenges are simply part of the fun. We provide truly excellent benefits, including:
• 100% paid employee healthcare & dental insurance
• Paid parental leave
• 401k with matching
• Escalating vacation time
• Referral bonuses
• Tuition reimbursement
• Professional development training
• Free beverages and snacks
• Weekly catered lunches and breakfast on Fridays
Grow to be our next leader:
At RGi, fostering a strong and organic corporate culture is paramount and serves as a compass on the decisions we make and how we operate the company. We believe our culture of camaraderie, innovation, and collaboration reflects the caliber of our employees and their dedication to the mission of providing quality software to our customers. As such, we want our employees to feel empowered to seek growth and leadership opportunities within the company and position us to maintain our culture as we grow. RGi provides opportunities, resources, training, and mentorship to all our employees to let them take control of their careers and become a leader or a crucial member of our company. If this is what you are looking for in a company, then you are what we are looking for in an employee.
Reinventing Geospatial, Inc. is an Equal Opportunity Employer committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship is required for all positions.
