As a Machine Learning Engineer at Sonar, you will develop, implement, and optimize ML workflows to enhance our products and services, working closely with software engineers and researchers to deliver innovative solutions.

In Short

Work with the core research team to advance AI-driven software engineering.
Design, develop, and deploy models and algorithms for automating software engineering tasks.
Analyze and preprocess large datasets for scalable ML pipelines.
Optimize and fine-tune LLMs for performance and accuracy.
Conduct experiments and validate model effectiveness.
Implement and maintain production-level code.
Stay updated with advancements in machine learning technologies.
Document AI models and systems.
Participate in code reviews and best practices development.
Collaborate with teams for seamless model deployment.

Requirements

Bachelor’s degree in computer science, IT, engineering, or related field.
Proven experience as a Machine Learning Engineer with a strong project portfolio.
Proficiency in Python, Java, or C/C++.
Understanding of ML frameworks like TensorFlow, PyTorch, etc.
Knowledge of algorithms, data structures, and software engineering principles.
Familiarity with cloud platforms (AWS, GCP, Azure) is a plus.
Experience with deep learning and NLP.
Knowledge of MLOps practices and tools.
Experience with data visualization tools.
Familiarity with version control systems like Git.
Excellent debugging, optimization, communication, and teamwork skills.

Benefits

Dynamic culture with a focus on innovation.
Opportunity to work on impactful projects.
Collaborative environment with talented professionals.
Flexible work arrangements.
Access to the latest technologies and tools.

Sonar

Sonar is a dynamic and innovative company dedicated to helping organizations develop responsible, secure, and high-quality code efficiently. With a global presence and offices in the USA, Switzerland, the UK, Singapore, and Germany, Sonar fosters a collaborative culture that values respect, kindness, and the right to fail and learn. The company is deeply rooted in the open-source community and is committed to delivering solutions that promote Clean Code. Sonar prioritizes diversity, equity, and inclusion, creating a welcoming environment for employees from various backgrounds while emphasizing continuous learning and work-life balance.

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