About this role
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
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Acquire, clean, and preprocess diverse datasets from various sources.
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Develop and maintain data pipelines to ensure a continuous flow of high-quality data.
Machine Learning Model Development
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Design and implement machine learning models to solve complex business problems.
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Conduct experiments, train models, and optimize algorithms for performance and accuracy.
Collaboration and Documentation
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Collaborate with cross-functional teams, including software engineers, domain experts, and business analysts, to understand requirements and deliver integrated solutions.
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Create and maintain comprehensive documentation for code, algorithms, and models. Ensure that the knowledge is shared and accessible within the team.
Customer Engagement
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Act on client feedback constructively to improve services and outcomes.
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Continuously seek ways to enhance the overall customer experience.
Continuous Learning and Innovation
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Stay updated on the latest developments in machine learning, data science, and analytics.
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Drive innovation by proposing and implementing new techniques and technologies.
Qualifications
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Solid understanding of machine learning concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch).
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Experience deploying machine learning models into production systems.
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Experience in containerization and orchestration tools (e.g., Docker, Kubernetes).
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Experience with cloud platforms (e.g., AWS, Azure, GCP).
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Strong proficiency in programming languages such as Python or C++.
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Strong software engineering skills with an emphasis on writing clean, modular, and maintainable code.
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Familiarity with version control systems (e.g., Git) and collaborative development workflows.
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Excellent problem-solving and critical-thinking skills.
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Effective communication skills and ability to work in a collaborative team environment.
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Preferred qualifications:Salary Range: $95,300 - $165,700
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Bachelor's or advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
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Google Cloud Professional Cloud Architect
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Google Cloud Professional Machine Learning Engineer certification
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Experience with data processing tools and technologies (e.g., Spark, Hadoop).
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Familiarity with deep learning and neural networks.
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Salary Range: $114,580 -$185,265