Software Engineer- Machine Learning

About the role

The Machine Learning & Artificial Intelligence discipline at Noctua Technology, LLC 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. We work closely with clients to harness the power of AI & ML, driving innovation and solving complex challenges across various domains.

We are seeking a talented and motivated 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.

- 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.

Key Reponsibilities

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.

Machine Learning Model Development

- 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.

Customer Engagement

- 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., TensorFlow, 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.