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. • 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, Artificial Intelligence, Machine Learning, or a related field. • Google Cloud Professional Cloud Architect • Google Cloud Professional Machine Learning Engineer certification • Experience with data processing tools and technologies (e.g., Spark, Hadoop). • Familiarity with deep learning and neural networks. Salary Range: $114,580 -$185,265