Leads a team of engineers building and designing machine learning systems
Provides technical leadership on model development and lifecycle management
Collaborates with product teams to create secure machine learning solutions
Participates in learning activities around modern software design
Researches and evaluates technology products and platforms to provide cost-effective solutions

Requirements

3 - 6 years of relevant work experience
Strong experience designing, training, evaluating, and deploying machine learning models in production environments
Experience with ML lifecycle management
Experience building and operating ML pipelines using cloud-native services
Strong understanding of applied statistics and model evaluation metrics
Experience in advanced machine learning techniques such as NLP and convolutional neural networks
Experience in training machine learning models with extremely large datasets
Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, TensorFlow, PyTorch, etc.
Minimum Education: High School Diploma or GED

Benefits

Health insurance
401(k) matching
Paid time off
Flexible work arrangements
Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningmodel developmentML lifecycle managementML pipelinesapplied statisticsmodel evaluation metricsNLPconvolutional neural networksdata analysistraining machine learning models

Soft Skills

technical leadershipcollaboration