Job Description

Machine Learning Engineer

Our client is a leading clean power company.

Position Overview: Seeking a Machine Learning Engineer specializing in time series data analysis to develop and optimize machine learning solutions for forecasting, anomaly detection, and predictive analytics.

Key Responsibilities:

• Develop and implement machine learning models for time series data.
• Design scalable data pipelines.
• Optimize models for performance and scalability.
• Analyze complex datasets for actionable insights.
• Stay updated on machine learning advancements.
• Collaborate with cross-functional teams and mentor team members.
• Ensure compliance with ethical guidelines and privacy laws.

Qualifications:

• Bachelor's or master's degree in a relevant field.
• Proficiency in machine learning frameworks (TensorFlow, PyTorch, Keras).
• Expertise in time series data and programming languages (Python, R).
• Experience with big data technologies and CI/CD practices.
• Strong problem-solving and collaboration skills.

Preferred Skills:

• Experience in the solar industry and proficiency with Microsoft Excel.

Benefits:

• Attractive compensation, health and dental insurance, 401k plan, paid cell phone service, employee share plan, company-paid lunch, and gym membership.
  

Desired Skills and Experience

Machine Learning Engineer

Our client is a leading clean power company.

Position Overview: Seeking a Machine Learning Engineer specializing in time series data analysis to develop and optimize machine learning solutions for forecasting, anomaly detection, and predictive analytics.

Key Responsibilities:

Develop and implement machine learning models for time series data.
Design scalable data pipelines.
Optimize models for performance and scalability.
Analyze complex datasets for actionable insights.
Stay updated on machine learning advancements.
Collaborate with cross-functional teams and mentor team members.
Ensure compliance with ethical guidelines and privacy laws.
Qualifications:

Bachelor's or master's degree in a relevant field.
Proficiency in machine learning frameworks (TensorFlow, PyTorch, Keras).
Expertise in time series data and programming languages (Python, R).
Experience with big data technologies and CI/CD practices.
Strong problem-solving and collaboration skills.
Preferred Skills:

Experience in the solar industry and proficiency with Microsoft Excel.
Benefits:

Attractive compensation, health and dental insurance, 401k plan, paid cell phone service, employee share plan, company-paid lunch, and gym membership.

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