Machine Learning Engineer

. Design, develop, and implement machine learning models and algorithms .

Posted 4/1/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tools & technologies

HadoopKafkaNoSQLPandasPythonPyTorchScikit-LearnSparkSQLTensorflow

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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Hard Skills & Tools

machine learningalgorithmsdata analysisPythonTensorFlowPyTorchscikit-learnpandasbig data processingdata modeling

Soft Skills

collaborationproblem-solvingcommunicationadaptabilitycritical thinking