Machine Learning Engineer - Remote

Overview

As a Machine Learning Engineer at Blend, you will design, develop, and deploy scalable ML models, optimize algorithms for performance, and collaborate with cross-functional teams to drive AI-driven solutions.

In Short

• Develop, optimize, and deploy machine learning models using Python, PyTorch, and SciPy.
• Design and implement microservices for model serving with Kubernetes.
• Work with Large Language Models (LLMs) and multi-modal models, integrating APIs for real-world applications.
• Apply prompt engineering techniques to improve model interactions and outputs.
• Build and maintain in-house tools and automation frameworks using Python.
• Utilize cloud infrastructure to deploy, scale, and manage ML models efficiently.
• Ensure high-quality software development, adhering to best coding practices and performance optimization.
• Collaborate with cross-functional teams to integrate ML models into production systems.

Requirements

• 3+ years of experience in Advanced Data Science, specializing in predictive modeling, statistical analysis, machine learning, and time series forecasting.
• Proficiency in Python, PyTorch, and SciPy for machine learning development.
• Experience in microservices architecture and model serving using Kubernetes.
• Familiarity with Large Language Models (LLMs), multi-modal models, and API integration.
• Understanding of prompt engineering techniques for optimizing model responses.
• Strong ability to create and maintain in-house tools and automation using Python.
• Experience working with cloud infrastructure for ML deployment.
• Solid software development skills, including clean coding, debugging, and performance tuning.

Benefits

• Daily gourmet lunches (headquarters).
• Flexible working options.
• All necessary equipment provided (Macbook and accessories).
• Snacks and beverages available every day (headquarters).
• After office events, including sports and game nights.
• Learning opportunities, including AWS certifications and English lessons.
• Mentoring and development opportunities.
• Anniversary and birthday gifts.
• Great location and team atmosphere.