Machine Learning Engineer | $30-$100/hr Remote
Overview
This Machine Learning Engineer role involves applying domain expertise to train and improve next-generation AI systems. You will develop, deploy, and maintain ML models using TensorFlow and Scikit-Learn, perform data preprocessing and feature engineering, and collaborate with cross-functional teams to deliver scalable solutions. The work focuses on real-world problem-solving and continuous model refinement in a remote contractor setting.
What You'll Do7
- 1Develop, train, and deploy machine learning models using TensorFlow and Scikit-Learn to address real-world business problems.
- 2Conduct comprehensive data preprocessing, including data cleaning, transformation, and feature engineering.
- 3Collaborate with data scientists, data engineers, and business analysts to translate requirements into scalable ML solutions.
- 4Continuously monitor, evaluate, and refine model performance to ensure accuracy and reliability in production.
- 5Document model development processes and communicate technical concepts to both technical and non-technical team members.
- 6Stay abreast of the latest research and advancements in machine learning and apply innovative techniques.
- 7Contribute to a culture of knowledge sharing, mentorship, and continuous improvement within the team.
Requirements7
- 1Expert-level proficiency in TensorFlow and Scikit-Learn for end-to-end model development and deployment.
- 2Strong background in data preprocessing, including handling missing values, outlier detection, and feature selection.
- 3Excellent written and verbal communication skills, with the ability to convey complex technical information clearly.
- 4Demonstrated experience in designing and implementing production-ready machine learning systems.
- 5Solid understanding of algorithm selection, model evaluation metrics, and performance tuning.
- 6Ability to work independently and remotely, delivering results in a fast-paced, deadline-driven environment.
- 7Detail-oriented with exceptional problem-solving and analytical skills.
Who Should Apply
Ideal candidates bring expert-level TensorFlow and Scikit-Learn skills, strong data preprocessing experience, and a proven track record of building production-ready ML systems. They should be comfortable working independently in a remote environment and able to communicate complex ideas clearly. Domain knowledge is valued over prior AI experience, making this role suitable for professionals with deep expertise in their field who want to apply it to AI training.
Salary Insight
The role offers an hourly rate between $30 and $100, based on experience and domain expertise.
Required Skills
Application Tip
Highlight your domain expertise and specific experience with TensorFlow and Scikit-Learn by describing a real-world project where you preprocessed messy data and deployed a model that improved business outcomes.