Lead AI/Machine Learning Engineer (On W2 only)
Occupations:
Data ScientistsSoftware DevelopersComputer Systems Engineers/ArchitectsComputer and Information Research ScientistsData Warehousing SpecialistsIndustries:
Business Schools and Computer and Management TrainingGambling IndustriesElementary and Secondary SchoolsColleges, Universities, and Professional SchoolsCommercial and Service Industry Machinery ManufacturingAI / Machine Learning EngineerJob Location: Charlotte, NC (Hybrid)Job Duration: Long Term(Only on W2) *No H1B or CPT as per the current client's requirement.Role SummaryWe are seeking an AI / Machine Learning Engineer to design, develop, deploy, and scale AI/ML solutions that solve real‑world business problems. The role focuses on building production‑grade ML models and AI services, integrating them with enterprise systems, and enabling automation, intelligence, and decisioning across platforms.This role is hands‑on and execution‑focused, working closely with product owners, data engineers, architects, and business stakeholders.Key ResponsibilitiesDesign, build, and deploy AI/ML models (supervised, unsupervised, NLP, GenAI where applicable)Develop end‑to‑end ML pipelines including data ingestion, feature engineering, model training, evaluation, and deploymentBuild and expose models as APIs / microservices for integration with enterprise applicationsApply AI to use cases such as:Intelligent automationDocument processing & extractionIntent classification & routingPrediction, scoring, and anomaly detectionCollaborate with Data Engineering teams on data pipelines and feature storesImplement model monitoring, performance tracking, and retraining strategiesEnsure solutions meet security, compliance, and governance standardsOptimize models for accuracy, latency, and scalabilityContribute to technical design, code reviews, and best practicesRequired Skills & QualificationsCore Technical SkillsStrong programming skills in Python (required)Experience with ML frameworks: TensorFlow, PyTorch, Scikit‑learnHands‑on with NLP / LLMs (tokenization, embeddings, transformers, prompt engineering)Experience building REST APIs (FastAPI, Flask, Spring Boot integrations)