Collaborate closely with data scientists and cross-functional teams to integrate machine learning models seamlessly into production systems
Implement end-to-end solutions, including architecture design, business logic, deployment and monitoring
Perform exploratory data analysis, build baseline models and fine-tune existing architectures to support the data science team
Package, containerize, and deploy ML models (Financial, Text, Image) as scalable microservices (using FastAPI, Docker)
Stay updated with advancements in machine learning and related technologies to continuously improve our solutions
Drive the adoption of rigorous engineering standards and testing practices for ML codebases, ensuring high-quality, reliable ML model releases

Requirements

Master's or Bachelor's degree in Computer Science, Engineering, or a related field with 2+ years of relevant industry experience
Strong understanding of computer science fundamentals, object-oriented programming and software design patterns
Strong knowledge of machine learning fundamentals and proficiency in data analysis
Proficiency in Python, SQL, FastAPI or other RESTful API architectures and AWS
Familiarity with numpy, pandas, torch, scikit-learn and other Python libraries commonly used in machine learning

Applicant Tracking System Keywords

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

Hard Skills & Tools

machine learningdata analysisPythonSQLFastAPIAWSnumpypandastorchscikit-learn

Soft Skills

collaborationcommunicationproblem-solvingattention to detailadaptability

Certifications

Master's degreeBachelor's degree