Our company has a client in Cincinnati, OH that is seeking an AI/ML Engineer.
Responsibilities
- Lead technical ML projects spanning months
- Foster a collaborative team environment, promoting growth among junior members
- Utilize patterns, frameworks, and tools for automating and deploying ML solutions
- Develop tools and processes to monitor and analyze model performance and data accuracy
- Collaborate with researchers to optimize and scale ML solutions using DevOps and MLOps best practices
- Integrate LLM products into workflows
- Create metadata tagging schemas, document chunking strategies, vector databases, and infrastructure for RAG in GenAI workflows
- Design modularized AI and ML product architectures
- Integrate AI modules using orchestration or agentic AI frameworks
- Understand business requirements and balance scale, risk, and accuracy to maximize value
- Reduce time to delivery, automate ML pipelines, and implement continuous feedback and monitoring
- Conduct code/science reviews and QA sign-offs
- Apply documentation, version control, and internal communication practices
- Make time-sensitive decisions and solve urgent problems without escalation
Required Skills : * Bachelor s degree or higher in Machine Learning, Computer Science, Computer Engineering, Applied Statistics, or related field * 4 years of experience developing cloud-based software solutions with a focus on scalability, performance, and reliability * 4 years of experience with advanced algorithms, programming languages, or technologies * 2 years of hands-on experience building large-scale ML models, preferably as a data scientist; 2 years in emerging AI preferred * 2 years of experience in tech consulting, retail, or related professional services preferred * Must be able to work Central or Eastern Time zones * Experience in full SDLC developing software solutions that scale, leveraging CI/CD and MLOps for development, testing, and deployment * Experience building LLM-assisted products for inference or document retrieval and summary * Excellent communication skills, especially on technical topics * Strong time and project management skills; Ability to balance multiple work items and prioritize * Preferred knowledge of deep learning methods * Experience with ML frameworks like PyTorch, TensorFlow, MLLib, and MLFlow * Knowledge of E2E ML pipeline and MLOps tools (e.g., model registry, experiment tracking, feature store, model monitoring) * Hands-on experience with technologies like Azure, Spark, Nvidia Triton, and Databricks * Strong Python skills * Kubernetes and Docker experience * CI/CD pipeline experience; GitHub Actions a plus * Terraform experience * API development experience a plus
