Software Engineer- Machine Learning
Noctua Technology
Location
🇺🇸 Washington, United States
Type
full_time
Salary
$95k–$166k
Posted
1w ago
Job Description
Noctua Technology specializes in developing and deploying artificial intelligence and machine learning technologies for automation, predictive analytics, and data-driven decision-making. The Machine Learning Engineer will design, develop, and implement machine learning solutions, build data pipelines, deploy models to production, and collaborate with cross-functional teams and customers to solve complex problems.
Responsibilities
- 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
- 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 • Stay updated on the latest developments in machine learning, data science, and analytics • Drive innovation by proposing and implementing new techniques and technologies Skills • 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 • 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 Company