Job Information
Insight Global AI Engineer – INTL India in Orlando, Florida
Job Description
AI Solution Engineering:
• Design, build, and deploy AI/ML solutions leveraging LLMs, NLP, forecasting, personalization, and generative AI use cases.
• Translate business problems into technical designs, model architectures, and scalable services.
Model Development & Optimization:
• Implement and train deep learning models (e.g., transformers, sequence models) using PyTorch/TensorFlow.
• Run experiments, hyperparameter tuning, and evaluation; document results and recommendations.
Production Integration:
• Work with ML Ops to operationalize models through CI/CD, model registries, and repeatable training pipelines.
• Develop APIs and batch scoring jobs; ensure performance, latency, and cost targets.
Governance & Responsible AI:
• Apply responsible AI practices: bias assessment, explainability where needed, and model risk documentation.
• Ensure compliance with data privacy, security, and internal standards.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
• 5–8+ years of hands-on experience in AI/ML engineering or applied machine learning.
• Expert Python and strong software engineering practices (testing, packaging, code review).
• Expertise with NLP/LLMs.
• Experience deploying models to production (batch and/or real-time) in cloud environments (Azure preferred).
• Strong understanding of model evaluation, monitoring concepts, and data/feature quality.
Desired Skills:
• Experience with Azure Machine Learning, Databricks, MLflow, and vector databases.
• Experience building retrieval-augmented generation (RAG) systems and prompt evaluation.
• Strong communication skills with ability to explain technical concepts to business stakeholders.