Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
IG
Insight Global
Applied AI/ML Engineer
Career Insights for Machine Learning Engineer
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on Florida data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$127,022 / year median in Florida
Job Description
Job Description Help for Job Description. Opens a new window. Job Description Insight Global is seeking an Applied AI/ML Engineer- Data Scientist to develop and operationalize the intelligence layer of off-prem platform. This role will combine data science, machine learning, generative AI and software engineering to create intelligent capabilities that help users understand operational information, diagnose issues, identify anomalies, retrieve knowledge, and make better decisions. Unlike a traditional research-focused Data Scientist position, this role emphasizes taking AI capabilities from experimentation through production deployment and evaluation. Design, develop, evaluate and deploy AI/ML capabilities Develop analytical models for anomaly detection, asset health, forecasting, classification and other operational use cases. Develop generative AI and agentic capabilities using enterprise-approved foundation models and AI platforms. Design prompts, tools, agents, workflows and orchestration patterns. Develop Retrieval-Augmented Generation (RAG) and knowledge-retrieval solutions when appropriate. Create rigorous evaluation frameworks for LLM and agent behavior. Establish metrics for model accuracy, relevance, reliability, hallucination, latency and cost. Develop guardrails and validation mechanisms for AI-generated responses. Collaborate with Data Engineering to define training, inference, retrieval and feature-data requirements. Collaborate with the Full Stack/Cloud Engineer to deploy AI services into production. Develop prototypes rapidly while designing solutions that can transition into production. Monitor model and agent performance and continuously improve deployed capabilities. Communicate model behavior and analytical findings to engineers, product stakeholders and operational subject-matter experts. Stay current with emerging AI, agentic AI, ML and data-science technologies and assess their applicability. $65-$75 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
To learn more about how we collect, keep, and process your private information, please review