Machine Learning Engineer – Contract
Talent Inc.
contract
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudGoogle Cloud PlatformPyTorchTensorflow
About the role
- Develop and implement machine learning models and algorithms to solve complex business problems
- Drive data-driven decision-making
- Collaborate closely with data scientists, software engineers, and stakeholders
- Deploy machine learning solutions in production environments
Requirements
- ML experience with both classical ML and deep learning (PyTorch/TensorFlow)
- Proven track record shipping ML products end-to-end
- Optimization and causal inference expertise including multi-objective optimization, constraint satisfaction, and counterfactual/scenario modeling for decision support systems
- Familiarity with LLMs and generative AI with basic understanding of how to integrate LLM APIs
- Strong software engineering fundamentals with ability to handle messy real-world data
- Experience with data preprocessing, feature engineering, and data visualization
- Understanding of supervised and unsupervised learning techniques
- Familiarity with deep learning architectures and neural networks
- Proficiency in using cloud platforms (e.g., AWS, Azure, GCP) for model deployment and scaling
- Strong problem-solving skills with complex, unstructured data
- Excellent communication and teamwork skills
- Experience with version control systems like Git
- Knowledge of data privacy and security considerations in machine learning
- Ability to work independently and adapt to fast-paced projects
Benefits
- 100% remote/work-from-home role
- Temporary 6 month contract
- Supportive work environment
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdeep learningPyTorchTensorFlowdata preprocessingfeature engineeringdata visualizationsupervised learningunsupervised learningoptimization
Soft skills
problem-solvingcommunicationteamworkadaptability