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.
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