Generative AI Engineer - Remote / Telecommute

Job Title: Generative AI Engineer - Remote / Telecommute

Job Location: Dallas, TX

Job Type: Contract

Job Overview:

Pay Range: $60hr - $65hr

Requirement/Must Have:

• Advanced proficiency in Python.
• Strong expertise in data analysis and SQL.
• Hands-on experience in machine learning model development and deployment.
• Demonstrable experience in Generative AI, including prompt engineering and/or fine-tuning Large Language Models such as Gemini.
• Experience with cloud platforms, preferably Google Cloud Platform (Google Cloud Platform).
• Solid understanding of MLOps principles and related tools.

Experience:

• 5+ years of professional experience building and deploying machine learning models in a production environment.
• Hands-on experience designing and deploying ML models such as classification, regression, and forecasting models.
• Experience building and implementing Retrieval-Augmented Generation (RAG) systems.
• Experience working with Google Cloud Platform services such as Vertex AI, BigQuery, Google Cloud Storage, and GKE.
• Proven ability to lead technical projects and mentor other engineers.

Responsibilities:

• Design, develop, and fine-tune Generative AI solutions using models such as Gemini for information extraction, document summarization, and report generation.
• Architect and implement advanced Retrieval-Augmented Generation (RAG) systems to improve model accuracy and deliver context-aware, verifiable responses.
• Research and apply emerging Generative AI techniques, including agentic frameworks, to build more autonomous and capable systems.
• Design and deploy a wide range of machine learning models on Google Cloud Platform.
• Build and maintain robust, automated MLOps pipelines for data preprocessing, feature engineering, model training, validation, and deployment using tools such as Vertex AI and BigQuery.
• Conduct deep data analysis to uncover insights, validate hypotheses, and guide feature engineering for improved model performance.
• Partner closely with data scientists, software engineers, and business stakeholders to define problem statements, technical requirements, and deliver integrated AI/ML solutions.
• Champion best practices in software engineering and MLOps to ensure quality, maintainability, and scalability of machine learning systems.
• Continuously evaluate and stay current with the latest advancements in machine learning and Generative AI.

Should Have:

• Master s or PhD in Computer Science, Data Science, Statistics, or a related field.
• Specific experience with Google Cloud Platform services such as Vertex AI, BigQuery, Google Cloud Storage, and GKE.
• Experience building RAG systems from the ground up.
• Strong leadership skills with the ability to mentor engineers and lead technical initiatives.

Skills:

• Python.
• SQL.
• Data Analysis.
• Machine Learning.
• Generative AI.
• Prompt Engineering.
• Large Language Models.
• Google Cloud Platform (Google Cloud Platform).
• Vertex AI.
• BigQuery.
• Google Cloud Storage.
• GKE.
• MLOps.
• CI/CD.
• PyTorch.
• scikit-learn.
• Pandas.
• Retrieval-Augmented Generation (RAG).

Qualification and Education:

• Bachelor s degree in Computer Science, Data Science, Statistics, or a related quantitative field.
• Master s or PhD in a relevant field is preferred.