TM Machine learning 70
We are looking for a skilled Machine Learning Engineer to design, develop, and deploy scalable machine learning models that solve real-world business problems. The ideal candidate will work closely with data scientists, software engineers, and product teams to build intelligent, data-driven systems.
Key Responsibilities
Design, build, and deploy machine learning models and pipelines
Analyze large datasets to extract insights and improve model performance
Develop and maintain data preprocessing, feature engineering, and model evaluation workflows
Optimize models for performance, scalability, and reliability
Integrate ML models into production systems and APIs
Monitor model performance and retrain models as needed
Stay up to date with the latest machine learning techniques and tools
Required Skills & Qualifications
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field
Strong understanding of machine learning algorithms (supervised, unsupervised, deep learning)
Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn)
Experience with data processing tools (Pandas, NumPy)
Knowledge of SQL and data storage systems
Understanding of model evaluation metrics and validation techniques
All your information will be kept confidential according to EEO guidelines.