Hybrid Machine Learning Engineer

Key Responsibilities:

• Design, develop, and deploy machine learning models to solve real-world problems.
• Collaborate with data scientists to explore and understand large datasets.
• Implement and optimize machine learning algorithms and pipelines.
• Experiment with different machine learning techniques and frameworks.
• Work with software engineers to integrate machine learning models into production systems.
• Monitor and maintain machine learning models in production.
• Stay up-to-date with the latest advancements in machine learning and artificial intelligence.

Qualifications and Experience:

• Master's degree or PhD in Computer Science, Statistics, or a related field.
• Strong programming skills in Python and experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with data preprocessing, feature engineering, and model evaluation.
• Knowledge of cloud platforms (AWS, GCP, Azure) and their machine learning services.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
• Experience with deploying machine learning models to production.

What We Offer:

• Competitive compensation package.
• Flexible remote work arrangements.
• Opportunities for professional development and career growth.
• A collaborative and innovative work environment.

If you are a passionate and skilled machine learning engineer, we encourage you to apply.