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Responsibilities:
- Develop custom ML solutions for various industries.
- Train and validate machine learning algorithms.
- Apply techniques like classification, NLP, deep learning.
- Create generalized solutions from specific use cases.
- Identify improvement opportunities within projects.
- Research new ML and AI techniques for business use.
- Collaborate remotely in an Agile-like environment.
Requirements:
- Proficient in statistical modeling and hypothesis testing.
- Experience in training and validating machine learning models.
- Strong skills in SQL and Python applications.
- Experience with deep learning tools like PyTorch, TensorFlow.
- Familiar with collaboration via Git.
- Ability to travel infrequently (<5% of the time).
Benefits:
- Competitive salary.
- 100% health insurance coverage for employees.
- Four weeks PTO.
- 401(k) with employer contribution matching.
- Personalized monthly perks with matched charitable donations.
- 100% remote work environment.
