Machine Learning Engineer
Givzey
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- Design, develop, and implement machine learning models and algorithms
- Analyze large datasets and extract meaningful insights
- Collaborate with cross-functional teams to integrate ML solutions into existing systems
- Optimize ML models for performance and scalability
- Stay current with the latest advancements in machine learning and AI
- Create and implement big data processing pipelines and architectures
- Design and build scalable data infrastructure to support ML applications
Requirements
- US Citizen
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- 3+ years of experience in machine learning or AI development
- Strong proficiency in Python and its ML/data science libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas)
- Solid understanding of machine learning algorithms and statistical modeling
- Experience with big data technologies (e.g., Hadoop, Spark, Kafka)
- Proven ability to create and implement big data solutions from scratch
- Comfortable setting up and managing distributed computing environments
- Experience in designing and implementing data pipelines for large-scale data processing
- Proficient in working with various database systems, both SQL and NoSQL, depending on the use case
- Strong skills in data modeling and database design for machine learning applications
Benefits
- Health insurance
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningalgorithmsdata analysisPythonTensorFlowPyTorchscikit-learnpandasbig data processingdata modeling
Soft Skills
collaborationproblem-solvingcommunicationadaptabilitycritical thinking