Software Engineer- Machine Learning

Noctua Technology; Washington, Virginia, California (District of Columbia, MN, MO); On-site; USD 95,000 - 166,000; Full time

Job summary

Noctua Technology, LLC is seeking a talented Machine Learning Engineer to design, develop, and deploy cutting-edge ML solutions for varied client challenges. You will build data pipelines, train models, and optimize algorithms to drive performance and accuracy in production systems.

The role emphasizes collaboration with software engineers, domain experts, and business analysts, while staying current with ML advances and industry best practices.

Qualifications

• Solid understanding of ML concepts, algorithms, and frameworks.
• Experience deploying ML models to production systems.
• Proficiency with containerization and cloud platforms.
• Strong Python and/or C++ programming skills.
• Excellent collaboration and code quality practices.

Responsibilities

• Acquire, preprocess, and integrate diverse datasets for model training.
• Design, implement, and evaluate ML models to solve business problems.
• Develop data pipelines and optimize algorithms for performance.
• Collaborate with engineers, data scientists, and analysts; document work.
• Experiment, iterate, and incorporate client feedback to improve outcomes.

Skills

TensorFlow

PyTorch

Python

C++

Data pipelines

Software engineering

Git

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

Spark

Hadoop

Cloud platforms (AWS/Azure/GCP)

Job description

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.

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.
• 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., 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:Salary Range: $95,300 - $165,700

• Bachelor's or advanced degree in Computer Science, Artificial Intelligence, 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.

Salary Range: $114,580 -$185,265