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Machine Learning Engineer / Specialist with Security Clearance
DCCA is seeking a Machine Learning Engineer/Specialist with an active TS/SCI security clearance in Littleton, CO. The role involves developing and deploying AI algorithms and requires a bachelor's degree in a technical field.
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DCCA is a veteran-owned IT business specializing in innovative solutions for government agencies and commercial enterprises since 1982. The company offers career growth opportunities and a competitive compensation and benefits package. Visit our website at www.dcca.com.
Position: Machine Learning Engineer / Specialist with Security Clearance
Location: Littleton, CO, United States
Responsibilities:
- Develop algorithms and conduct analysis using machine learning and artificial intelligence tools.
- Build and deploy AI algorithms, especially in cloud environments (e.g., AWS).
- Establish scalable, efficient, and automated processes for large-scale ML model deployments and integration.
Requirements:
- Bachelor's degree in Computer Science, Computer Engineering, or a related technical degree.
- Active TS/SCI security clearance or the ability to obtain one.
- Experience with large software systems and the full software development lifecycle.
- Proficiency in Python programming language.
- Experience in setting up data pipelines and machine learning frameworks in a big data environment.
- Experience deploying robust machine learning solutions.
- Familiarity with machine learning concepts such as feature engineering, text classification, and time series prediction.
- Strong troubleshooting, debugging, and problem-solving skills.
- Effective communication skills, both verbal and written.
Nice to Have:
- Proficiency with Linux and Linux-based software development tools.
- Experience with virtualization (e.g., VMWare).
- Advanced degrees in engineering, computer science, or related fields.
- Experience in building big data, machine learning, and AI infrastructures (e.g., AWS) including containerization (e.g., Docker, Kubernetes).
- Familiarity with machine learning lifecycle platforms (e.g., AirFlow, MLFlow, Kubeflow).
- Experience with Spark, Hive, Spark ML, Databricks, Natural Language Processing, TensorFlow, and Deep Learning tools (e.g., Keras, Theano, PyTorch, Scikit-learn).
- Experience deploying AI algorithms in cloud environments such as Microsoft Azure and Google Cloud Platform.
- CompTIA Security+ certification or equivalent.
- CISSP certification or equivalent.
Schedule: Full-time