Machine Learning Engineer

About Us: Commit is working with a confidential partner on this role. Applicants proceeding to the next stage will receive further information about the employer and recruiting process.

Position Overview: As a Machine Learning Engineer, you will be at the forefront of developing and deploying state-of-the-art machine learning models and algorithms. You will work closely with data scientists, software engineers, and domain experts to identify opportunities, design solutions, and implement scalable machine learning pipelines.

Key Responsibilities:

• Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying machine learning techniques.
• Design, develop, and implement end-to-end machine learning solutions, from data preprocessing and feature engineering to model training, evaluation, and deployment.
• Develop and optimize machine learning algorithms and models for classification, regression, clustering, recommendation systems, natural language processing, and computer vision tasks.
• Apply advanced techniques such as deep learning, reinforcement learning, and transfer learning to solve complex problems and extract insights from large-scale datasets.
• Implement scalable and efficient machine learning pipelines using frameworks such as TensorFlow or PyTorch.
• Perform data analysis, experimentation, and A/B testing to evaluate model performance and iterate on improvements.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related field (or equivalent work experience).
• 5+ years' experience as a Machine Learning Engineer, Data Scientist, or similar role, with a strong track record of developing and deploying machine learning models in real-world applications.
• Solid understanding of machine learning algorithms, statistical methods, and data mining techniques.
• Proficiency in programming languages such as Python, R, or Scala.
• Experience with machine learning frameworks and libraries such as TensorFlow or PyTorch.
• Familiarity with cloud platforms such as AWS or GCP.
• Excellent communication skills and ability to effectively communicate technical concepts to non-technical stakeholders.

Location:

• Remote - US or Canada

Benefits:

• Competitive salary and stock options.
• Comprehensive benefits package, including health insurance and retirement plans.
• Flexible work hours and remote work options.