Machine Learning Engineer / Specialist with Security Clearance
DCCA
•
Littleton, CO
0
0
0
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Not Applicable
Posted March 13, 2026
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Responsibilities
Commitments
Responsibilities
- Develop algorithms and conduct analysis using state-of-the-art machine learning/artificial intelligence tools
- Built and deploy AI algorithms especially in cloud environments (i.e.
- AWS)
- Establish scalable, efficient, and automated processes for large scale ML model deployments and integration.
Commitments
A security clearance or the ability to obtain a security clearance is required.
Not Met Priorities
What still needs stronger evidence
Requirements
- AWS)
- A security clearance or the ability to obtain a security clearance is required.
- Candidates should have experience with large software systems and the full software development lifecycle.
- Experience with Python programming language
- Involved with setting up the data pipeline, machine learning framework-from data discovery to model deployment-in a big data environment.
- Experience deploying robust machine learning
- Built and deploy AI algorithms
- Exposure to machine learning concepts (feature engineering, text classification, and time series prediction) and frameworks with interest in learning more.
- Strong troubleshooting, debugging and problem-solving skills
- Ability to quickly explore, evaluate and learn new technologies
- Strong communication skills, verbal and written.
- Includes the ability to effectively communicate complex information to audiences with varying technical and system backgrounds and at multiple organizational levels Desired Skills:
- Proficiency with Linux and Linux based software development tools
- Experience with virtualization (i.e.
- VMWare)
- Experience in providing solutions for building big data, machine learning, and AI infrastructures and models (i.e.
- AWS), to including containerization (i.e.
- Ducker, Kubernetes)
- Experience with machine learning lifecycle platforms (i.e AirFlow/MlFlow/ Kubeflow)
- Experience in Spark, Hive, Spark ML, Databricks, Natural Language Processing, Tensor Flow, and Deep Learning tools (i.e Tensorflow, Keras, Theano, PyTorch, Scikit-learn)
- Built frameworks for deployment of AI algorithms in other cloud environment- i.e Microsoft Azure and Google Cloud Platform
- CompTIA Security+ certification or equivalent
- CISSP certification or equivalent Required Education/Certifcations:
- Associate Engineer (CT7): Entry-level to experienced, but still a learner typically with an advanced degree and 0 years experience or bachelors degree and 0-2+ years experience or equivalent
- Engineer 1 (CT8): Career level typically with an advanced degree and 3+ years experience or bachelors with 5+ years experience or equivalent
- Senior Engineer (CT9): Emerging authority typically with an advanced degree and 7+ years experience or bachelors with 9+ years experience or equivalent; applies extensive expertise
- Principal Engineer (CT10): Expert, authority in discipline typically with an advanced degree and 12+ years experience or bachelors with 14+ years experience or equivalent
Preferred Skills
- Exposure to machine learning concepts (feature engineering, text classification, and time series prediction) and frameworks with interest in learning more.
- Experience with virtualization (i.e.
- VMWare)
- Experience in providing solutions for building big data, machine learning, and AI infrastructures and models (i.e.
- AWS), to including containerization (i.e.
- Ducker, Kubernetes)
- Experience with machine learning lifecycle platforms (i.e AirFlow/MlFlow/ Kubeflow)
- Experience in Spark, Hive, Spark ML, Databricks, Natural Language Processing, Tensor Flow, and Deep Learning tools (i.e Tensorflow, Keras, Theano, PyTorch, Scikit-learn)
- Built frameworks for deployment of AI algorithms in other cloud environment- i.e Microsoft Azure and Google Cloud Platform
- CompTIA Security+ certification or equivalent
- CISSP certification or equivalent Required Education/Certifcations:
Education
- (Not required) – The ideal candidate shall possess a bachelor's degree in Computer Science or Computer Engineering or other technical degree.
- (Not required) – Advanced degrees in engineering, computer science, or related fields
- (Not required) – CompTIA Security+ certification or equivalent
- (Not required) – CISSP certification or equivalent Required Education/Certifcations:
- (Not required) – Associate Engineer (CT7): Entry-level to experienced, but still a learner typically with an advanced degree and 0 years experience or bachelors degree and 0-2+ years experience or equivalent
- (Not required) – Engineer 1 (CT8): Career level typically with an advanced degree and 3+ years experience or bachelors with 5+ years experience or equivalent
- (Not required) – Senior Engineer (CT9): Emerging authority typically with an advanced degree and 7+ years experience or bachelors with 9+ years experience or equivalent; applies extensive expertise
- (Not required) – Principal Engineer (CT10): Expert, authority in discipline typically with an advanced degree and 12+ years experience or bachelors with 14+ years experience or equivalent
DCCA is a veteran-owned IT business specializing in providing innovative solutions to a variety of government agencies and commercial enterprises since 1982. DCCA is proud to offer career growth opportunities and a competitive compensation and benefits package. Visit our website at: www.dcca.com Machine Learning
All Levels Candidate must have an active TS/SCI to be considered For over 40 years, DCCA has provided a broad range of IT services to government agencies and commercial enterprises, helping them to feel confident in their IT infrastructure. With DCCA, these organizations can be confident in the flexibility and skill of their IT partners, allowing them to upgrade their technology quickly and efficiently. Better yet, thanks to DCCA's successful track record, clients can rest assured knowing DCCA can tackle any problem with ease, allowing them to focus on the work that matters. Internally, DCCA prides itself on a culture built on integrity and inclusivity, allowing its employees to build lasting skills and relationships. As a veteran owned business, DCCA knows the importance of recruiting employees with a wide range of backgrounds, allowing for every problem to be approached by a diverse array of perspectives. Join us and be part of a team that has a people first mentality and a dedication to excellence. Key Tasks:
Develop algorithms and conduct analysis using state-of-the-art machine learning/artificial intelligence tools
Built and deploy AI algorithms especially in cloud environments (i.e. AWS)
Establish scalable, efficient, and automated processes for large scale ML model deployments and integration. Required Skills:
The ideal candidate shall possess a bachelor's degree in Computer Science or Computer Engineering or other technical degree.
A security clearance or the ability to obtain a security clearance is required. Candidates should have experience with large software systems and the full software development lifecycle.
Experience with Python programming language
Involved with setting up the data pipeline, machine learning framework-from data discovery to model deployment-in a big data environment.
Experience deploying robust machine learning
Built and deploy AI algorithms
Exposure to machine learning concepts (feature engineering, text classification, and time series prediction) and frameworks with interest in learning more.
Strong troubleshooting, debugging and problem-solving skills
Ability to quickly explore, evaluate and learn new technologies
Strong communication skills, verbal and written. Includes the ability to effectively communicate complex information to audiences with varying technical and system backgrounds and at multiple organizational levels Desired Skills:
Proficiency with Linux and Linux based software development tools
Experience with virtualization (i.e. VMWare)
Advanced degrees in engineering, computer science, or related fields
Experience in providing solutions for building big data, machine learning, and AI infrastructures and models (i.e. AWS), to including containerization (i.e. Ducker, Kubernetes)
Experience with machine learning lifecycle platforms (i.e AirFlow/MlFlow/ Kubeflow)
Experience in Spark, Hive, Spark ML, Databricks, Natural Language Processing, Tensor Flow, and Deep Learning tools (i.e Tensorflow, Keras, Theano, PyTorch, Scikit-learn)
Built frameworks for deployment of AI algorithms in other cloud environment- i.e Microsoft Azure and Google Cloud Platform
CompTIA Security+ certification or equivalent
CISSP certification or equivalent Required Education/Certifcations:
Associate Engineer (CT7): Entry-level to experienced, but still a learner typically with an advanced degree and 0 years experience or bachelors degree and 0-2+ years experience or equivalent
Engineer 1 (CT8): Career level typically with an advanced degree and 3+ years experience or bachelors with 5+ years experience or equivalent
Senior Engineer (CT9): Emerging authority typically with an advanced degree and 7+ years experience or bachelors with 9+ years experience or equivalent; applies extensive expertise
Principal Engineer (CT10): Expert, authority in discipline typically with an advanced degree and 12+ years experience or bachelors with 14+ years experience or equivalent
Engineer Consultant (CT11): Senior consultant to top management typically with an advanced degree and 18+ years experience or bachelors with 20+ years experience or equivalent The proposed salary range for these positions in Colorado is 75,000
230,000 (CT7
CT11). Final salary will be determined based on various factors. Our comprehensive benefit offerings include healthcare, retirement plan, paid disability and life insurance programs, employee assistance program, paid and unpaid leave programs, education assistance, and wellness initiatives. At DCCA, we believe the key to providing our clients with unrivaled services starts with retaining top talent, something we're able to do through our consistent commitment to building culture and comprehensive benefits. Competitive Compensation: While salary at DCCA is determined by various factors, we are committed to making sure our salaries reflect the skill and expertise of our employees. In addition, each year we perform an annual salary review ensuring pay is equitable across both the company and industry at large. Growth Opportunities: DCCA makes it a priority to help you grow and support your career advancement. From upskilling programs to recertification support, to professional development opportunities, we're here to help you grow your career and create lasting relationships. Emphasis on Inclusivity: DCCA's culture emphasizes respect, equity, and opportunity and is supported by an array of business resource groups and other opportunities for connection. Empowering Health: DCCA's benefits which encompass healthcare, paid time off, and flexible 401(k) options encourage you to live a healthy and fulfilling life, both in and outside of work. Learn more about our total benefits package on our Benefits page . Mission Focused Work: From the defense industry to health IT management, DCCA allows you to work on innovative projects whose outcomes improve people's lives and solve today's IT problems. Equal Opportunity Employer including Disability/Vets
All Levels Candidate must have an active TS/SCI to be considered For over 40 years, DCCA has provided a broad range of IT services to government agencies and commercial enterprises, helping them to feel confident in their IT infrastructure. With DCCA, these organizations can be confident in the flexibility and skill of their IT partners, allowing them to upgrade their technology quickly and efficiently. Better yet, thanks to DCCA's successful track record, clients can rest assured knowing DCCA can tackle any problem with ease, allowing them to focus on the work that matters. Internally, DCCA prides itself on a culture built on integrity and inclusivity, allowing its employees to build lasting skills and relationships. As a veteran owned business, DCCA knows the importance of recruiting employees with a wide range of backgrounds, allowing for every problem to be approached by a diverse array of perspectives. Join us and be part of a team that has a people first mentality and a dedication to excellence. Key Tasks:
Develop algorithms and conduct analysis using state-of-the-art machine learning/artificial intelligence tools
Built and deploy AI algorithms especially in cloud environments (i.e. AWS)
Establish scalable, efficient, and automated processes for large scale ML model deployments and integration. Required Skills:
The ideal candidate shall possess a bachelor's degree in Computer Science or Computer Engineering or other technical degree.
A security clearance or the ability to obtain a security clearance is required. Candidates should have experience with large software systems and the full software development lifecycle.
Experience with Python programming language
Involved with setting up the data pipeline, machine learning framework-from data discovery to model deployment-in a big data environment.
Experience deploying robust machine learning
Built and deploy AI algorithms
Exposure to machine learning concepts (feature engineering, text classification, and time series prediction) and frameworks with interest in learning more.
Strong troubleshooting, debugging and problem-solving skills
Ability to quickly explore, evaluate and learn new technologies
Strong communication skills, verbal and written. Includes the ability to effectively communicate complex information to audiences with varying technical and system backgrounds and at multiple organizational levels Desired Skills:
Proficiency with Linux and Linux based software development tools
Experience with virtualization (i.e. VMWare)
Advanced degrees in engineering, computer science, or related fields
Experience in providing solutions for building big data, machine learning, and AI infrastructures and models (i.e. AWS), to including containerization (i.e. Ducker, Kubernetes)
Experience with machine learning lifecycle platforms (i.e AirFlow/MlFlow/ Kubeflow)
Experience in Spark, Hive, Spark ML, Databricks, Natural Language Processing, Tensor Flow, and Deep Learning tools (i.e Tensorflow, Keras, Theano, PyTorch, Scikit-learn)
Built frameworks for deployment of AI algorithms in other cloud environment- i.e Microsoft Azure and Google Cloud Platform
CompTIA Security+ certification or equivalent
CISSP certification or equivalent Required Education/Certifcations:
Associate Engineer (CT7): Entry-level to experienced, but still a learner typically with an advanced degree and 0 years experience or bachelors degree and 0-2+ years experience or equivalent
Engineer 1 (CT8): Career level typically with an advanced degree and 3+ years experience or bachelors with 5+ years experience or equivalent
Senior Engineer (CT9): Emerging authority typically with an advanced degree and 7+ years experience or bachelors with 9+ years experience or equivalent; applies extensive expertise
Principal Engineer (CT10): Expert, authority in discipline typically with an advanced degree and 12+ years experience or bachelors with 14+ years experience or equivalent
Engineer Consultant (CT11): Senior consultant to top management typically with an advanced degree and 18+ years experience or bachelors with 20+ years experience or equivalent The proposed salary range for these positions in Colorado is 75,000
230,000 (CT7
CT11). Final salary will be determined based on various factors. Our comprehensive benefit offerings include healthcare, retirement plan, paid disability and life insurance programs, employee assistance program, paid and unpaid leave programs, education assistance, and wellness initiatives. At DCCA, we believe the key to providing our clients with unrivaled services starts with retaining top talent, something we're able to do through our consistent commitment to building culture and comprehensive benefits. Competitive Compensation: While salary at DCCA is determined by various factors, we are committed to making sure our salaries reflect the skill and expertise of our employees. In addition, each year we perform an annual salary review ensuring pay is equitable across both the company and industry at large. Growth Opportunities: DCCA makes it a priority to help you grow and support your career advancement. From upskilling programs to recertification support, to professional development opportunities, we're here to help you grow your career and create lasting relationships. Emphasis on Inclusivity: DCCA's culture emphasizes respect, equity, and opportunity and is supported by an array of business resource groups and other opportunities for connection. Empowering Health: DCCA's benefits which encompass healthcare, paid time off, and flexible 401(k) options encourage you to live a healthy and fulfilling life, both in and outside of work. Learn more about our total benefits package on our Benefits page . Mission Focused Work: From the defense industry to health IT management, DCCA allows you to work on innovative projects whose outcomes improve people's lives and solve today's IT problems. Equal Opportunity Employer including Disability/Vets