Machine Learning Engineer

Zolon Tech Inc.; Washington (District of Columbia); Remote; USD 120,000 - 160,000; Full time

Job summary

A tech company specializing in AI solutions is seeking a Machine Learning/Deep Learning Engineer to design, train, and deploy advanced AI models. The ideal candidate will have over 5 years of experience in Python, deep learning, and cloud-native deployment on Azure. Responsibilities include developing APIs and managing cloud infrastructure. This position offers a remote work opportunity and the potential for extension after 6 months.

Qualifications

• 5+ years of experience in Python development with a focus on deep learning.
• Hands-on experience with transformers and Hugging Face.
• Proven track record of deploying models on GPU-based infrastructure.
• Strong understanding of API design principles.

Responsibilities

• Design and implement deep learning models using TensorFlow and PyTorch.
• Develop and maintain RESTful and gRPC APIs.
• Create and manage Azure Container Apps and Docker images.
• Automate CI/CD pipelines using GitHub Actions.

Skills

Python development

Deep learning

Transformers

API design

Azure cloud services

Docker

GitHub Actions

Tools

TensorFlow

PyTorch

FastAPI

Job description

Overview

• Role: Machine Learning/Deep Learning Engineer
• Job Location: Washington, DC (Remote)
• Duration: 6 months weeks – high chance of extension

Position Overview

• We are seeking a highly skilled and motivated Machine Learning/Deep Learning Engineer with expertise in neural network development, GenAI technologies, and cloud-native deployment on Azure.
• This role will be instrumental in designing, training, and deploying advanced AI models across text, image, and audio domains, while also managing scalable cloud infrastructure and APIs.

Key Responsibilities

Deep Learning & Neural Networks

• Design and implement deep learning models using TensorFlow, PyTorch, and transformer architectures.
• Fine-tune pre-trained models for domain-specific tasks involving text, image, or audio datasets.
• Optimize and deploy models on NVIDIA GPU hardware (e.g., A100, H100) for high-performance inference.
• Develop LLMOps context aware pipelines for chat applications using python frameworks.
• Collaborate with data scientists and product teams to integrate models into production systems.

API Development & Integration

• Develop and maintain RESTful and gRPC APIs for model serving and data access.
• Manage the full API lifecycle, including versioning, documentation, and security.
• Integrate APIs with internal and external applications using FastAPI or similar Python frameworks.

Azure Cloud Engineering

• Create and manage Azure Container Apps, Container Registries, and Docker images.
• Deploy and monitor Azure Web Apps for hosting AI services and dashboards.
• Automate CI/CD pipelines using GitHub Actions for seamless deployment and updates.

Required Qualifications

• 5+ years of experience in Python development with a focus on deep learning.
• Hands-on experience with transformers, Hugging Face, and custom model training.
• Proven track record of deploying models on GPU-based infrastructure.
• Strong understanding of API design principles and microservices architecture.
• Experience with Azure cloud services, Docker, and GitHub Actions.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.

Preferred Qualifications

• Experience with multi-modal models or generative AI applications.
• Familiarity with MLOps tools and practices.
• Contributions to open-source AI projects or publications in relevant fields.