Below is the job details

Job Title: ML Data Scientist/ML Engineer

Location: Seattle, WA, /Frisco, TX (hybrid)

Duration: Long-term

Job Summary

We are seeking a highly skilled ML Data Scientist to join our team and help drive the development and implementation of machine learning models. In this role, you will work closely with cross-functional teams to gather requirements, design, and build scalable solutions, and integrate models into production.

Key Responsibilities

Develop and implement machine learning models and algorithms to solve complex business problems.
Analyze large, complex data sets to identify trends, patterns, and insights.
Collaborate with cross-functional teams to gather requirements and design scalable solutions.
Work on end-to-end implementation of machine learning models from data exploration to deployment
Monitor the performance of deployed models and make improvements as necessary.
Stay up to date with the latest advances in machine learning and artificial intelligence.

Qualifications

Master's degree in computer science, Mathematics, or a related field
Strong experience in machine learning and data science, including hands-on experience building and deploying models.
Proficiency in Python and common machine learning libraries (such as scikit-learn, TensorFlow, PyTorch, and Spark.)
Excellent problem-solving and critical thinking skills
Ability to work well in a team environment and effectively communicate technical concepts to non-technical stakeholders.
Experience with cloud platforms (AWS, GCP, or Azure) is a plus.
This is a contract position. If you are a highly motivated and skilled ML Data Scientist/ML Engineer, we would love to hear from you.

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