Machine Learning Engineer

EcoFarm Solutions

Las Vegas (NV)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

EcoFarm Solutions in Las Vegas, NV seeks a Machine Learning Engineer to develop and deploy ML models solving complex data problems. You will collect, clean, and preprocess data, build models, and optimize them for production environments.

The ideal candidate holds a Bachelor's degree in CS/DS with 2+ years of ML experience and is proficient in Python or R. Join a fast-paced team in Las Vegas today.

Qualifications

  • Bachelor's degree in CS/DS or related field.
  • 2+ years of experience in machine learning engineering.
  • Strong programming skills in Python or R.

Responsibilities

  • Develop and deploy machine learning models.
  • Preprocess data and build data pipelines.
  • Evaluate model performance and iterate improvements.
  • Collaborate with cross-functional teams to drive impact.

Skills

Python
R
Machine Learning
Data Preprocessing

Education

Bachelor's degree in CS/DS

Tools

scikit-learn

Job description

Location: Las Vegas, USA

As a Machine Learning Engineer, you will be responsible for developing and implementing innovative machine learning algorithms and models to solve complex data problems. You will work closely with cross-functional teams to identify business needs and develop solutions that drive value for our clients. Your responsibilities will include data collection, cleaning, and preprocessing, as well as building and optimizing machine learning models for deployment in production environments. Additionally, you will play a key role in evaluating the performance of existing models and identifying areas for improvement. This role requires strong technical skills in programming languages such as Python or R, as well as knowledge of machine learning techniques and tools. The ideal candidate should have a Bachelor's degree in Computer Science, Data Science or related field, with at least 2 years of experience in machine learning engineering. This is a fast-paced environment where collaboration and problem-solving skills are highly valued. Join our team in Las Vegas today!

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