Hiring Big data/ AI/ ML/Cybersecurity/Cloud Devops & Data Scientist Engineers for the long-term DOD program , MULTIPLE OPENINGS

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Job Overview

Comtech LLC is seeking talented and motivated individuals for multiple openings in the domains of Big Data, Artificial Intelligence, Machine Learning, Cybersecurity, Cloud DevOps, and Data Science Engineering as part of a long-term Department of Defense program. The successful candidates will leverage their expertise to design, implement, and maintain robust data solutions that meet the complex analytical and operational needs of the project. This multidisciplinary role demands collaboration with cross-functional teams to deliver innovative, data-driven solutions that enhance operational capabilities and cybersecurity measures.

Job Responsibilities

• Design and implement data models and architectures to effectively manage large data sets.
• Develop algorithms and machine learning models to extract insights and automate decision-making processes.
• Conduct rigorous testing and validation of new data technologies and AI/ML applications.
• Implement security measures to protect sensitive data in compliance with DOD standards.
• Collaborate with software developers and other engineers to integrate data solutions into existing applications.
• Provide technical guidance and support during the deployment and operational stages.
• Analyze complex datasets to inform strategic decision-making and operational efficiency.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Cybersecurity, or a related field; Master’s degree preferred.
• Proven experience in Big Data technologies, AI, ML frameworks, or Cloud DevOps methodologies.
• Strong programming skills in languages such as Python, Java, or R.
• Familiarity with data management platforms and tools such as Hadoop, Spark, and SQL databases.
• Demonstrated experience with cybersecurity principles and best practices.
• Knowledge of DevOps tools such as Docker, Kubernetes, Jenkins, or similar technologies.
• Excellent problem-solving skills and a capability to work in high-pressure environments.

Technologies & Tools

The selected candidates will work with a variety of technologies and tools essential for modern data engineering and analytical operations. Key technologies include cloud platforms such as AWS, Azure, Google Cloud; big data frameworks like Hadoop and Spark; machine learning libraries like TensorFlow and Scikit-learn; and cybersecurity tools including firewalls, encryption technologies, and secure coding practices. Proficiency in these tools will enable the execution of high-quality data solutions that meet both operational and security requirements.

Ideal Candidates

The ideal candidates for this position will possess a strong analytical mindset with the ability to think critically and strategically about data-driven solutions. They should demonstrate enthusiasm for continuous learning and adaptability in a fast-paced environment. Effective communication skills are essential for collaborating with diverse teams, as is the capacity to translate complex technical concepts into understandable terms for stakeholders. A proactive, solution-oriented attitude and a commitment to excellence will distinguish these candidates as top performers in this vital role.