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Role: ML Data Scientist/ML Engineer

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

Duration: 12+ Months

Note: Candidate Must has to make a minimum of 10 Machine learning Deployment Models for his/her client.

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:

• Minimum 10+ Years of Experience.
• 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.