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We are currently seeking a Senior AI/ML Engineer - Hybrid to join our team in Irving, Texas (US-TX), United States (US). We are seeking a Senior AI/ML Specialist to lead the design, development, and deployment of advanced machine learning and generative AI solutions. In this role, you will work at the forefront of AI innovation—building scalable ML pipelines, fine‑tuning LLMs, shaping AI strategy, and guiding teams as we deliver high‑impact, data‑driven products. If you thrive in a fast‑moving environment and enjoy solving complex technical challenges, this is an opportunity to influence architecture, mentor others, and drive meaningful AI transformation.
Job Responsibility
Design, fine‑tune, and optimize advanced AI/ML algorithms, including Generative AI, LLMs, and traditional machine learning models
Derive data‑driven insights using supervised, unsupervised, reinforcement learning, and deep learning techniques
Build scalable, secure, end‑to‑end ML pipelines for data ingestion, model training, evaluation, and real‑time inference
Automate model deployment, monitoring, and drift detection across cloud platforms such as AWS, Azure, or Google Cloud
Integrate processed datasets with generative AI models to support real‑world business use cases
Provide technical leadership and mentorship to engineers working on Python development, model integration, and data sampling
Collaborate with cross‑functional teams including Product, Engineering, and Data Science to shape AI strategy and solution design
Stay current with emerging AI technologies and implement innovations such as Retrieval‑Augmented Generation (RAG) and Agentic AI
Ensure best practices in model governance, documentation, and reproducibility
Requirements
7+ years of overall experience in software engineering, data science, or machine learning
3+ years of hands‑on Python experience, including data manipulation with Pandas, NumPy, and scikit‑learn
2+ years of experience with machine learning frameworks such as TensorFlow and PyTorch
2+ years of experience working with frameworks like LangChain or LangGraph for LLM integration
Expertise with ML and deep learning libraries such as PyTorch, TensorFlow, Keras, or scikit‑learn
Experience working with LLM platforms such as Google Model Garden, Amazon Bedrock, or equivalent cloud‑based AI services
Strong understanding of NLP, Computer Vision, and vector databases (e.g., Pinecone, Weaviate)
Proficiency in prompt engineering techniques, including zero‑shot, few‑shot, and Chain‑of‑Thought prompting
Deep knowledge of data science methodologies and sampling strategies for deriving insights and building representative datasets
What we offer
medical insurance
dental insurance
vision insurance
flexible spending or health savings account
life and AD&D insurance
short- and long-term disability coverage
paid time off
employee assistance
participation in a 401k program with company match