AI/ML Engineer

An Insight Global retail client is seeking an innovative AI Engineer responsible for designing, developing, and deploying AI/ML solutions that solve business problems, predict outcomes, identify inefficiencies, and enable data-driven decision-making. This role leverages advanced modeling, machine learning pipelines, generative AI, and automation to deliver scalable, enterprise-ready AI capabilities.

• Collaborate with cross-functional teams, including data architects, engineers, and business stakeholders, to understand requirements for AI/ML use cases.

• Develop, train, evaluate, and optimize AI/ML models using structured and unstructured data.

• Analyze data and model outputs to identify patterns, trends, and anomalies that inform feature engineering, model improvements, and system optimization.

• Leverage AI/ML platforms to build predictive models and automate business processes.

• Design and implement generative AI applications powered by Large Language Models (LLMs), using techniques such as Retrieval-Augmented Generation (RAG), embeddings, prompt orchestration, and evaluation frameworks.

• Partner with Data Engineering, Analytics, and IT teams to integrate models into production systems.

• Ensure the robustness, scalability, performance, and security of AI/ML models in production environments.

• Monitor, evaluate, and continuously improve AI/ML and LLM-based solutions in production, including model performance, output quality, reliability, and cost efficiency.

• Ensure adherence to AI governance, model documentation, and responsible AI practices.

Stay up to date with the latest advancements in AI/ML research and industry trends.

• Bachelor’s degree in Computer Science, Mathematics, Data Science, or a related discipline, or equivalent experience.

• 4+ years of proven experience as an AI/ML Engineer or similar role, with a strong portfolio of successful projects involving machine learning, NLP, generative AI, and production deployment.

• Experience needs to be HANDS ON

• You built and you coded the solution yourself

• Proficiency in Python, SQL, and AI/ML frameworks and platforms such as:

• PyTorch

• TensorFlow

• Azure OpenAI

• Azure Machine Learning Studio

• Strong understanding of:

• Data structures

• Data pipelines

• MLOps practices

• Working knowledge of generative AI techniques, including:

• Retrieval-Augmented Generation (RAG)

• Embeddings and vector search

• Context orchestration

• Experience with cloud platforms such as Azure and AWS.

Experience developing and consuming APIs to integrate AI/ML models into applications. Master’s degree in Data Science or a related field is preferred

$110,000 to $160,000/hr