Senior Machine Learning Engineer - Dating App (2215)

Truelogic is a leading provider of nearshore staff augmentation services, located in New York. Our team of 500 tech talents is driving digital disruption from Latin America to the top projects in U.S. companies. Truelogic has been helping companies of all sizes to achieve their digital transformation goals.

Would you like to make innovation happen? Have you ever dreamed of building Products that impact millions of users? Nice! Then we have a seat for you on our team!

What are you going to do?

You will have the opportunity to work in a forward-thinking and growth-oriented environment, at a leading technology company offering a cloud-based platform designed to help businesses efficiently develop, deploy, and manage their digital products and services.

Occupy a unique position in the market, in this role, you will develop and deploy machine learning models focused on relational intelligence and matchmaking. Your work will involve analyzing user behavior, preferences, and demographics to create meaningful connections. You will manage the full machine learning lifecycle, from data collection to model deployment. 

Key Responsibilities:

• Design and develop AI models for relational intelligence using AWS SageMaker and other ML tools from the AWS stack.
• Build data pipelines for model training and inference, ensuring high-quality data.
• Collaborate with the backend team to integrate AI models into the application.
• Continuously improve model accuracy and performance based on real-world user data.
• Explore new AI techniques and tools to enhance matchmaking and user engagement.

What will help you succeed

• 5+ years of experience in machine learning, AI model development, and deployment.
• Expertise in building and deploying models using AWS SageMaker.
• Strong knowledge of data preprocessing, feature engineering, and model evaluation.
• Proficient in Python, TensorFlow, PyTorch, or similar ML frameworks.
• Familiarity with data privacy and ethical AI considerations, particularly in social contexts.
• Experience in the relations space (dating or similar products) and scoring systems using ML to analyze and classify data points.