Our Client, a Public Utilities company, is looking for a Machine Learning/Deep Learning Engineer for their locations in Washington, DC, Chicago, IL, Philadelphia, PA, Baltimore, MD, or remote.

Responsibilities:

1. Deep Learning & Neural Networks
2. Fine-tune pre-trained models for domain-specific tasks involving text, image, or audio datasets.
3. Optimize and deploy models on NVIDIA GPU hardware (e.g., A100, H100) for high-performance inference.
4. Develop LLMOps context-aware pipelines for chat applications using Python frameworks.
5. Collaborate with data scientists and product teams to integrate models into production systems.
6. Develop and maintain RESTful and gRPC APIs for model serving and data access.
7. Manage the full API lifecycle, including versioning, documentation, and security.
8. Integrate APIs with internal and external applications using FastAPI or similar Python frameworks.
9. Create and manage Azure Container Apps, Container Registries, and Docker images.
10. Deploy and monitor Azure Web Apps for hosting AI services and dashboards.
11. Automate CI/CD pipelines using GitHub Actions for seamless deployment and updates.

Requirements:

1. 5+ years of experience in Python development with a focus on deep learning.
2. Hands-on experience with transformers, Hugging Face, and custom model training.
3. Proven track record of deploying models on GPU-based infrastructure.
4. Strong understanding of API design principles and microservices architecture.
5. Experience with Azure cloud services, Docker, and GitHub Actions.
6. Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
7. Experience with multi-modal models or generative AI applications.
8. Familiarity with MLOps tools and practices.
9. Contributions to open-source AI projects or publications in relevant fields.

Why Should You Apply?

1. Health Benefits
2. Referral Program
3. Excellent growth and advancement opportunities

As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or expression, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.