Machine Learning (ML) Engineer
Full Time
Key Responsibilities
Build, train, and optimize ML models using Python frameworks (TensorFlow, PyTorch, Scikit-learn).
Deploy models into production using MLOps pipelines (Kubeflow, MLflow, SageMaker, Azure ML).
Work with data engineers to preprocess and clean datasets.
Monitor ML model performance and retrain when necessary.
Optimize algorithms for scalability and real-time inference.
Collaborate with cross-functional teams to integrate ML into applications.
Requirements
Bachelor’s/Master’s in Computer Science, AI/ML, or related field.
3+ years of experience in ML/AI engineering roles.
Proficiency in Python, TensorFlow, PyTorch, and ML lifecycle tools.
Strong understanding of statistics, algorithms, and data science concepts.
Experience deploying models on AWS (SageMaker) or Azure ML.
Familiarity with MLOps practices and containerization (Docker, Kubernetes).
Perks and Benefits
Competitive salary + bonuses.
Health insurance and flexible work setup.
Exposure to cutting-edge ML/AI projects.
Learning opportunities with certifications and conferences.
How to Apply
If you are passionate about maintaining software quality standards and want to be part of our dynamic team, send your resume and a cover letter to [careers@compose.com] with the subject line "Customer Success Specialist Application - [Your Name]".
Compose is an equal opportunity employer. We encourage candidates from diverse backgrounds to apply.