[Remote] AI/ML Engineer
Note: The job is a remote job and is open to candidates in USA. Insight Global is seeking an AI/ML Engineer for a retail client to design, develop, and deploy scalable AI and machine learning solutions that address business problems and enable data-driven decision-making. The role involves building and optimizing predictive and generative AI models, integrating them into production systems, and ensuring their performance, security, governance, and continuous improvement.
Responsibilities
- 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
Skills
- 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
Benefits
- Fully remote in the US
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