Design, develop, and deploy machine learning models and algorithms to solve real-world problems.
Analyze and preprocess 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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