Softgic · 2 months ago
ML/AI Engineer (Data + Front-End Integration
United States
Full-time
Remote
Senior Level
$3,000/mo - $3,000/mo
5+ years expSoftgic is a technology services company that aims to make life easier through technology. They are seeking an ML/AI Engineer to design, train, and implement machine learning models, collaborate with data engineers, and integrate ML outputs into front-end applications.
Information TechnologyService IndustrySoftware
Responsibilities
Design, train, and implement machine learning and AI models that support real-time decision-making
Prepare, clean, and structure large-scale datasets in collaboration with data engineers using Snowflake and MongoDB
Apply the Elastic Hierarchy framework to perform feature engineering and attribution across reconciled datasets
Build and optimize agent-based workflows connecting ML models to front-end and client systems
Create and manage JSON-based data payloads for model integration within enterprise workflows
Integrate ML outputs into React-based front-end applications for visualization, analytics, and interactive use
Deploy, monitor, and optimize ML models in production using AWS Lambda, EC2, and EKS/Kubernetes
Ensure reproducibility, version control, and documentation across all ML development workflows
Collaborate with cross-functional teams (product, data, and engineering) to deliver AI-powered product strategies
Apply governance, auditability, and compliance standards for ML models used in regulated financial environments
Qualification
Required
Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field
At least 3 years of experience in machine learning, AI engineering, or data engineering
Strong programming skills in Python, with expertise in libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch
Hands-on experience with Snowflake and MongoDB for feature engineering and data preparation
Familiarity with JSON-based APIs and integration between ML pipelines and front-end systems
Experience deploying ML services on AWS (Lambda, EC2, EKS/Kubernetes)
Knowledge of data mapping, attribution, or reconciliation frameworks (experience in financial services is a strong plus)
Excellent English communication and collaboration skills, both written and verbal
Preferred
Familiarity with AI-assisted development tools such as Cursor or GitHub Copilot is a plus
Exposure to regulated data workflows such as AML or KYC is an advantage
Company
Softgic
We are a young and growing company, with operations in Medellin and Bogota, focused on the generation of technological solutions in synergy with our customers and our team so that these solutions add value within their organizations and their business processes.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase