Machine Learning Engineer
Actively Hiring
Full-time $91k - $145k Posted 2 months ago
Role overview
- check_circle Model Development: Design, build, and deploy machine learning models—including generative AI models—to address complex business problems.
- check_circle Data Collaboration: Work with teammates to preprocess, clean, and analyze structured and unstructured data for use in ML pipelines.
- check_circle Performance Optimization: Tune and optimize models for accuracy, efficiency, and scalability in production environments.
- check_circle Integration Support: Collaborate with MLOps Engineers to ensure smooth deployment, monitoring, and maintenance of ML models.
- check_circle Continuous Learning: Stay informed on the latest advancements in machine learning, deep learning, and generative AI technologies, and apply them where appropriate.
- check_circle Team Collaboration: Contribute to a collaborative engineering culture by sharing knowledge, participating in code reviews, and supporting team initiatives.
Basic qualifications
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience).
- 3 years total experience.
- Hands-on experience with ML frameworks such as scikit-learn, TensorFlow, PyTorch, and spaCy.
- Proficiency in Python and familiarity with ML development workflows.
- Strong analytical and problem-solving skills with attention to detail.
- Effective communication and collaboration skills in a team-oriented environment.
- Experience with generative AI is a plus.
Preferred qualifications
- Master's or PhD in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience).
- Hands-on experience with building and deploying Machine Learning models for real time inference.
Tags & Focus Areas
Fulltime Remote Ai Machine Learning Mlops Generative Ai