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. 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

Requirements

Must-haves

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.
Solid understanding of machine learning concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch).

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaimldockerkubernetesawsazuregcppython

Platform: greenhouse
Effort: quick