Executive Full Stack Machine Learning Engineer Jobs in Pittsburgh, PA

Job Title: Full Stack Developer Location: Dallas or Plano, Texas. No.Openings: 3 Description: Full Stack Developer Position Description We're growing rapidly and are looking for Full Stack Developers to join our Telecommunications Sector. We're a close knit team that has access to global resources. Location strongly preferred to be in Dallas or Plano, Texas. Your future duties and responsibilities . Design, develop, and maintain scalable backend applications and RESTful APIs using Python and FastAPI . Build high performance, secure, and reusable API services supporting AI, analytics, and enterprise applications . Develop integrations with Snowflake, Databricks, and cloud based data platforms . Design and optimize data access layers supporting structured, semi structured, and large scale datasets . Develop services that leverage Apache Iceberg tables and modern data lakehouse architectures . Build event driven and asynchronous backend services where appropriate . Optimize API performance, scalability, reliability, and security . Implement authentication and authorization using OAuth2, JWT, Azure AD, or similar enterprise identity providers . Collaborate with cloud engineers to deploy applications on Microsoft Azure using modern DevOps practices . Participate in architecture reviews, code reviews, and technical design discussions Required qualifications to be successful in this role . Bachelor's degree in Computer Science, Engineering, or equivalent experience . 5+ years of professional software development experience . 5+ years of hands-on Python development . Strong experience developing production grade applications using FastAPI . Strong understanding of REST API design and backend architecture . Experience with asynchronous programming in Python . Experience integrating applications with Snowflake . Experience working with Databricks . Experience using Apache Iceberg tables and modern lakehouse architectures . Experience developing applications on Microsoft Azure . Experience building AI enabled or GenAI applications . Experience integrating with Large Language Models (Azure OpenAI, OpenAI, Anthropic, etc.) . Experience with vector databases and Retrieval Augmented Generation (RAG) . Experience with MLflow or MLOps practices . Experience writing unit, integration, and automated tests . Strong knowledge of SQL and database design . Experience with containerization technologies such as Docker . Excellent debugging, analytical, and problem solving skills . Strong communication and collaboration skills Preferred Qualifications . Experience with Azure Kubernetes Service (AKS) . Experience with Azure Functions or Azure App Services . Experience with Azure API Management . Experience with Azure Key Vault . Experience with Azure Event Hubs or Service Bus . Experience with Terraform or Infrastructure as Code . Familiarity with Spark and PySpark . Experience with distributed systems and microservices architectures Technical Skills Required . Python . FastAPI . REST APIs . Snowflake . Databricks . Apache Iceberg . Microsoft Azure . SQL . MLflow . Azure OpenAI . LangChain or similar AI frameworks Preferred . AKS . Git . Docker . CI/CD . Azure Functions . Azure API Management . Azure Key Vault . Azure DevOps . Kubernetes . Terraform . PySpark Desired Characteristics . Strong ownership mindset . Passion for building clean, maintainable, and scalable software . Ability to work independently while collaborating effectively with cross functional teams . Comfortable working in Agile environments . Continuous learner with interest in AI, cloud technologies, and modern data platforms . Strong attention to quality, security, and performance . Experience supporting enterprise AI initiatives . Experience building APIs that serve AI/ML models . Experience working with large scale enterprise data platforms . Exposure to telecom, financial services, or other large enterprise environments

#M- #LI- Ref: #404-IT Pittsburgh