We’re seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics.
Responsibilities:
Build and deploy the ML pipelines that power PatternAI’s machine learning platform.
Manage MLOps infrastructure to monitor and optimize models.
Experience:
3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.
Proficiency across topics in machine learning and statistics.
Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas)
Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow, Pandas, and common ML cloud services.
Familiarity with CNNs, RNN, LSTMs, and the latest research trends.
Experience implementing, deploying, and maintaining production machine learning systems.
Experience monitoring and optimizing model performance.
Experience with Linux, Docker and AWS, and basic development operations.
Advanced degree in computer science, mathematics, statistics or related area of study strongly preferred.
About PatternAI
PatternAI is an early stage startup that is growing rapidly and recently closed a successful round of venture funding. We are emerging from stealth and with an exciting series of machine learning products and a rapidly growing number of enterprise customers.
All your information will be kept confidential according to EEO guidelines.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
PatternAI is an automated ML/AI platform that reveals critical patterns in data for narrow business problems that impact virtually every company in the world– such as automating customer segmentation, automated predictive analytics, conversational intelligence, and more.