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As a Junior Data Scientist / Machine Learning Engineer at Red Hibbert Group, you will be responsible for developing and implementing machine learning models, conducting data analysis, and collaborating with cross-functional teams. You will work on cutting-edge AI/ML projects, focusing on data preprocessing, feature engineering, model development, and evaluation. Key responsibilities include developing AI-driven solutions for our clients, conducting research to improve existing ML systems, and working closely with senior team members to deliver high-quality solutions. This role offers an excellent opportunity to grow your career in machine learning and artificial intelligence while working on real-world applications.
Job Responsibility:
Developing and implementing machine learning models
Conducting data analysis
Collaborating with cross-functional teams
Working on cutting-edge AI/ML projects, focusing on data preprocessing, feature engineering, model development, and evaluation
Developing AI-driven solutions for our clients
Conducting research to improve existing ML systems
Working closely with senior team members to deliver high-quality solutions
Requirements:
Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field
Strong programming skills in Python and proficiency with machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
Solid experience with data manipulation libraries (Pandas, NumPy) and data visualization tools (Matplotlib, Seaborn)
Strong understanding of statistical analysis and machine learning concepts
0-2 years of experience in machine learning, deep learning, or data science
Excellent analytical and problem-solving skills with strong communication abilities are required
Nice to have:
Master's degree is a plus
Experience with version control systems (Git) and cloud platforms (AWS/Azure/GCP) is a plus
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