Machine Learning Process Engineer
We are seeking a Machine Learning Process Engineer on a full-time remote basis.
Education:
- B.S. or M.S. in Computer Science, Information Technology, Engineering or related field
- Achieved a Ph.D. or doctorate-level equivalent in data science, machine-learning, econometrics, or a related field.
Requirements:
- Minimum 2 years of hands-on experience in designing, implementing, and maintaining advanced AI systems and predictive models, including both supervised and unsupervised models.
- Minimum 2 years of hands-on experience utilizing a variety of machine learning libraries and packages, such as TensorFlow (TF), Scikit-Learn, Natural Language Toolkit (NLTK), and Pandas.
- Must have 3 years of hands-on experience supporting data science initiatives, including supporting data scientists with code development and data preparation.
- Demonstrate at least 2 years of hands-on experience using Python and SQL.
Job Type: Full-time
Salary: Up to $140,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
Schedule:
- Monday to Friday
Education:
- Doctorate (Required)
Experience:
- Python and SQL: 2 years (Preferred)
- code development and data preparation: 5 years (Preferred)
- designing, implementing, and maintaining advanced AI systems: 5 years (Preferred)
- TensorFlow, Natural Language Toolkit and Pandas: 5 years (Preferred)
Work Location: Remote
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