Acumatica is hiring a
Machine Learning Engineer, Remote - Worldwide

Summary

Acumatica is hiring a Machine Learning Engineer for its ML team in Serbia, Belgrade. The role involves developing, implementing, and maintaining machine learning models, utilizing various tools and frameworks, and collaborating with cross-functional teams.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
• 4+ years of hands-on experience in machine learning engineering, with a proven track record of building and deploying production-grade ML models
• Proficient in Python, with extensive experience using libraries such as Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, and Keras
• Solid experience in general software development using C#
• Demonstrated expertise in deploying machine learning models on AWS or Azure cloud platforms
• Strong problem-solving skills, with the ability to work independently and as part of a team
• Excellent communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders

Responsibilities

• Develop, implement, and maintain machine learning models, ensuring they are scalable and performant in a production environment
• Utilize deep knowledge of traditional machine learning algorithms and generative AI techniques to build innovative solutions
• Employ various ML tools and frameworks to facilitate the development process, ensuring the use of best practices and state-of-the-art methodologies
• Work extensively with Python, utilizing libraries such as Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, and Keras to develop and optimize models
• Apply general software development skills in C# to integrate machine learning solutions within the broader application architecture
• Design and implement model deployment strategies on cloud platforms such as AWS or Azure, ensuring robust, reliable, and scalable solutions
• Collaborate with cross-functional teams, including data engineers, product managers, and software developers, to deliver end-to-end machine learning solutions
• Stay abreast of the latest advancements in machine learning and AI, continuously improving skills and applying new knowledge to ongoing projects

Preferred Qualifications

• Experience with fine-tuning large language models (LLMs) and working with NLP-related tasks
• Familiarity with Docker, Kubernetes, and other containerization/orchestration technologies

Benefits

• Good relocation package (we help people to relocate to Serbia and handle the whole process)
• Private health insurance
• Performance bonuses
• Good salary
• Full work equipment (Laptop, mouse, headphones, etc)
• Great opportunities for career growth