Intermediate Machine Learning Engineer
1 week ago
- Design, develop, and deploy machine learning models and algorithms to solve real-world problems.
- Analyze and pre-process large datasets using tools like Python, TensorFlow, PyTorch, and Scikit-learn.
- Collaborate with cross-functional teams, including software developers and data scientists, to implement machine learning solutions in production environments.
- Evaluate and improve the performance of existing models through testing and optimization.
- Research and stay updated on the latest advancements in machine learning and AI to incorporate new techniques.
- Document your findings and effectively communicate results to both technical and non-technical stakeholders.
Qualifications:
- Bachelors Degree in Computer Science, Data Science, Engineering, or a related field.
- 2+ years of hands-on experience with machine learning and data modeling.
- Proficiency in programming languages such as Python, R, or Java.
- Familiarity with machine learning libraries and frameworks.
- Solid understanding of algorithms, probability, and statistics.
- Experience with cloud platforms like AWS, GCP, or Azure is a plus.
- Strong analytical, problem-solving, and communication skills.
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