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2 weeks ago
The Machine Learning Specialist will be responsible for developing and implementing AI models and solutions that drive business insights and automation across various business domains.
This role involves working with senior engineers and data scientists to process data, build machine learning pipelines, and implement AI algorithms that drive business insights and automation.
Key Responsibilities:- Develop and test AI/ML models using Python or similar languages
- Support data collection, cleaning, transformation, and labeling activities
- Participate in building, training, and validating machine learning models (e.g., classification, NLP, computer vision)
- Work with large datasets, APIs, and cloud-based ML platforms (AWS SageMaker, Azure ML, etc.)
- Collaborate with cross-functional teams (developers, analysts, product managers) to integrate AI features into applications
- Document model performance, tuning parameters, and experiment results
- Stay current with AI research, best practices, and new technologies
- Bachelor's degree in Computer Science, AI, Data Science, Engineering, or a related field
- Solid understanding of machine learning fundamentals (supervised/unsupervised learning, model evaluation)
- Proficiency in Python and relevant libraries (NumPy, Pandas, scikit-learn, TensorFlow or PyTorch)
- Familiarity with Jupyter Notebooks, version control (Git), and basic data visualization (e.g., Matplotlib, Seaborn)
- Exposure to cloud services (AWS, GCP, or Azure) is a plus
- Good problem-solving skills and a willingness to learn
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