Software Engineer- Machine Learning

Noctua Technology; United States; Sur place; USD 95 000 - 185 000; Plein temps

Résumé du poste

Noctua Technology LLC is seeking a talented Machine Learning Engineer to design, develop, and deploy cutting-edge ML solutions for diverse clients. You will work on data collection, model training, evaluation, and deployment, collaborating with engineers and domain experts to deliver impact-driven AI applications.

The role emphasizes staying current with ML advances, driving innovation, and delivering maintainable code and well-documented models in a team-oriented environment.

Qualifications

• Solid understanding of machine learning concepts, algorithms, and frameworks (TensorFlow, PyTorch).
• Experience deploying machine learning models into production systems.
• Experience with containerization and orchestration tools (Docker, Kubernetes).
• Experience with cloud platforms (AWS, Azure, GCP).
• Strong programming skills in Python or C++.
• Strong software engineering practices with clean, modular code and version control (Git).
• Excellent problem-solving and collaborative communication skills.

Responsabilités

• Acquire, clean, and preprocess diverse datasets from various sources.
• Develop data pipelines to ensure high-quality data flow.
• Design and implement machine learning models to solve business problems.
• Train models, conduct experiments, and optimize algorithms for performance and accuracy.
• Collaborate with software engineers, domain experts, and analysts to deliver integrated solutions.
• Create and maintain documentation for code, algorithms, and models.

Connaissances

TensorFlow

PyTorch

Python

C++

Git

ML algorithms

Data preprocessing

Model deployment

Outils

Docker

Kubernetes

AWS

Azure

GCP

CI/CD

Description du poste

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

Preferred qualifications: Salary Range : $95,300 - $165,700

• - 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.

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