Business Analyst Mid

Mindlance; Washington (District of Columbia); Remote; USD 125,000 - 150,000; Full time

Job summary

A technology staffing firm is seeking a highly skilled Machine Learning/Deep Learning Engineer to design and deploy AI models. This fully remote role requires expertise in neural networks and Azure cloud services, with a focus on delivering high-performance solutions. The ideal candidate has over 5 years of relevant experience and strong problem-solving skills. Competitive rates offered.

Qualifications

• 5+ years of experience in Python development with a focus on deep learning.
• Hands-on experience with transformers and custom model training.
• Proven track record of deploying models on GPU-based infrastructure.

Responsibilities

• Design and implement deep learning models using TensorFlow and PyTorch.
• Develop RESTful and gRPC APIs for model serving.
• Create and manage Azure Container Apps for AI services.

Skills

Python development

Deep learning

API development

Transformers

Azure cloud services

Collaboration skills

Education

MS in Computer Science/Data Science

Tools

TensorFlow

PyTorch

Docker

GitHub Actions

FastAPI

Job description

Position Details

Rate: PR:$65.62/hr

• Duration: 6 months with a high chance of extension
• Location: Fully remote as long as located near an Exelon satellite in Chicago, Philadelphia, Washington D.C., Baltimore, Delaware, etc.
• Work hours: Full-time — 9am to 5pm EST or 8am to 4pm EST
• Education preference: MS in Computer Science/Data Science
• Experience: 5+ years of industry/corporate experience preferred
• Target start date: 10/27 or best

• Industry profile: Previous experience in utility industry is preferred but not required
• Key qualities: Great communication skills and the ability to independently identify and drive work to achieve objectives/milestones

Job Description

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.

EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.