Software Engineer - AI and Machine Learning

We are seeking a talented and motivated AI and Machine Learning Engineer to join our dynamic engineering team. As a member of our engineering team, you will play a crucial role in designing, developing, and implementing cutting-edge machine learning solutions to solve complex problems for our customers.

Noctua Technology, Inc. is a software engineering and consulting corporation focused on data engineering, machine learning, and cloud technologies. We specialize in delivering premier quality software engineering solutions to Public Sector and Commercial customers across the US.

Location :
Primarily Remote. Candidates must be based in San Diego, CA or DC Metro Area for proximity to project and client teams

Security Clearance Requirement: Applicants must be US citizens and eligible to obtain and maintain an active Secret security clearance or above.

Department Overview:

The Machine Learning & Artificial Intelligence department is at the forefront of pioneering advancements in intelligent technologies. We specialize in developing and deploying cutting-edge algorithms, models, and systems that enable automation, predictive analytics, and data-driven decision-making. Our dedicated team of experts is committed to harnessing the power of AI & ML to drive innovation and solve complex challenges across various domains.

Key Responsibilities

• Data Collection and Integration
  • Acquire, clean, and preprocess diverse datasets from various sources.
  • Develop and maintain data pipelines to ensure a continuous flow of high-quality data.
• Design and implement machine learning models to solve complex business problems.
• Conduct experiments, train models, and optimize algorithms for performance and accuracy.
• Collaboration and Documentation
  • Collaborate with cross-functional teams, including software engineers, domain experts, and business analysts, to understand requirements and deliver integrated solutions.
  • Create and maintain comprehensive documentation for code, algorithms, and models. Ensure that the knowledge is shared and accessible within the team.
• Act on client feedback constructively to improve services and outcomes.
• Continuously seek ways to enhance the overall customer experience.
• Continuous Learning and Innovation
  • Stay updated on the latest developments in machine learning, data science, and analytics.
  • Drive innovation by proposing and implementing new techniques and technologies.

Qualifications

• Solid understanding of machine learning concepts, algorithms, and frameworks (e.g., Tensor Flow, PyTorch).
• Experience deploying machine learning models into production systems.
• Experience in containerization and orchestration tools (e.g., Docker, Kubernetes).
• Experience with cloud platforms (e.g., AWS, Azure, GCP).
• Strong proficiency in programming languages such as Python or C++.
• Strong software engineering skills with an emphasis on writing clean, modular, and maintainable code.
• Familiarity with version control systems (e.g., Git) and collaborative development workflows.
• Excellent problem-solving and critical-thinking skills.
• Effective communication skills and ability to work in a collaborative team environment.

Preferred qualifications

• Bachelor's or advanced degree in Computer Science, Machine Learning, or a related field.
• Google Cloud Professional Cloud Architect
• Experience with data processing tools and technologies (e.g., Spark, Hadoop).
• Familiarity with deep learning and neural networks.