Full-Stack AI / ML Engineer (Irving)

Job Title : Full-Stack AI / ML Engineer

Job Location : Irving, TX (Onsite - 4 days a week)

Duration : long term Contract

Payrange : $65- $70

Benefits for Eligible Employees - Health Insurance, Paid Time Off (PTO), Paid Holidays.

About Edify

Headquartered in Naperville, IL, we are a dynamic team with over two decades of industry expertise, dedicated to delivering robust business solutions, staff augmentation, and a comprehensive range of application and web services. Recognized as one of Inc. Magazine's Fastest Growing Private Companies, we're committed to empowering businesses with innovative technology solutions.

At Edify Technologies, we partner with customers globally, empowering them to enhance their technology footprint, reduce unnecessary costs, develop sustainable IT solutions, and gain a competitive edge in today's digital world. We believe in creating an impact through innovation, driving tangible results that propel businesses forward.

Job Description : Summary :

Looking for Full-Stack AI / ML Engineer to build and deploy AI-driven solutions that address complex business challenges from data to production. The role involves data acquisition, feature engineering, model development, LLM integration, deployment, and ongoing optimization. The engineer will collaborate closely with product owners, program managers, and cross-functional Scrum teams to deliver scalable, high-impact AI capabilities aligned with business goals.

Required skills :

• 5+ years of hands-on experience in data science, ML engineering, or applied AI with production deployments.
• Strong proficiency in Python (Pandas, NumPy, Scikit, LangChain, and LangGraph, etc.) and SQL.
• Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Skilled in data acquisition, ETL pipelines, and feature engineering using APIs, cloud storage, or databases.
• Proficiency in FastAPI for serving models as microservices.
• Experience building and managing MLOps pipelines with tools like Docker, Kubernetes, and CI / CD.
• Hands-on experience with cloud platforms (Azure, AWS, or GCP) and their ML / AI services.
• Working knowledge of Large Language Models (LLMs) and Generative AI frameworks
• Strong understanding of EDA, model validation, and experiment tracking.
• Familiarity with vector databases for semantic retrieval or RAG pipelines.
• Comfortable working in Agile / Scrum teams participating in sprint planning, stand-ups, reviews, and retrospectives.
• Collaborative team player with excellent communication and documentation skills.
• Demonstrated ability to take AI / ML models from prototype to production and continuously improve them.

We Believe in Diversity & Inclusion :

As a minority-owned company, we deeply value and prioritize inclusion and diversity within our organization. We believe that a diverse and inclusive workforce fosters innovation, creativity, and empathy, leading to a richer and more rewarding work environment. We are committed to cultivating a workplace where every team member feels valued, respected, and empowered to contribute their unique perspectives and talents. Join us and be a part of a team that celebrates diversity, cherishes different perspectives, and fosters a collaborative and supportive community.

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