APN Consulting, Inc. is a progressive IT staffing and services company offering innovative business solutions to improve client business outcomes. We focus on high impact technology solutions in ServiceNow, Fullstack, Cloud & Data, and AI / ML.
Due to our globally expanding service offerings we are seeking top-talent to join our teams and grow with us.
Job Title: Data Science | Machine Learning
Work Location: Dayton, OH 45402
Contract duration: 6months
Target Start Date: ASAP
Experience Level : 10 Years
Work Mode : Onsite
Work Authorization: Need Visa independent consultant only who can work with any employer in US
Job Details:
Must Have Skills
Strong hands on experience with Core ML & Stats (optimization, supervised unsupervised learning)
NLP (semantic search, embeddings, text modeling)
MLOps (MLflow, Kubeflow, Airflow, Docker, CICD)
Nice to have skills
Healthcare insurance Managed Care (MCO) experience familiarity with claims, clinical workflows, risk models, or regulatory frameworks is a strong plus.
Experience with vector databases, hybrid semantic neural architectures, or agentic AI systems.
Design advanced ML models across NLP, optimization, predictive modeling, and statistical learning. Own end to end MLOps pipelines data ingestion, training, deployment, monitoring, CICD. Collaborate with engineering, product, and domain teams to deliver production ready AI solutions
Build and scale Knowledge Graphdriven AI systems ontology design, graph embeddings, reasoning. Develop and fine tune LLMs for classification, summarization, RAG, and agentic workflows. Core ML Stats optimization, s
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Design advanced ML models across NLP, optimization, predictive modeling, and statistical learning.
Own end to end MLOps pipelines data ingestion, training, deployment, monitoring, CICD.
Collaborate with engineering, product, and domain teams to deliver production ready AI solutions.
Drug Test: Yes -9 Panel
We are committed to fostering a diverse, inclusive, and equitable workplace where individuals from all backgrounds feel valued and empowered to contribute their unique perspectives
We strongly encourage applications from candidates of all genders, races, ethnicities, abilities, and experiences to join our team and help us build a culture of belonging.