Senior AI/ML Engineer - Cincinnati, OH, Charlotte, NC, Dallas, TX, Chicago, IL, Atlanta, GA
Dice is the leading career destination for tech experts at every stage of their careers. Our client, TechniPros, LLC, is seeking the following. Apply via Dice today! Job Title: Senior AI/ML Engineer Location: Cincinnati, OH, Charlotte, NC, Dallas, TX, Chicago, IL, Atlanta, GA Can do Only W2, No C2C Job Summary: We are seeking a highly experienced Senior AI/ML Engineer to design, develop, deploy, and scale enterprise-grade AI/ML solutions. The ideal candidate will have a strong background in software engineering, data engineering, or solution architecture, along with hands-on expertise in Generative AI, Agentic AI, and cloud-based AI platforms. This role requires experience building production-ready AI applications, backend services, and AI/ML platforms leveraging AWS technologies. Key Responsibilities:
- Design, develop, and deploy scalable AI/ML solutions for enterprise applications.
- Build and maintain Generative AI and Agentic AI applications using modern AI frameworks and cloud services.
- Develop backend APIs and microservices using Python and FastAPI.
- Implement and optimize AI/ML pipelines for model training, deployment, and monitoring.
- Integrate Large Language Models (LLMs) into business applications and workflows.
- Leverage AWS AI services including Bedrock and SageMaker for AI solution development.
- Establish CI/CD pipelines and MLOps best practices for AI/ML deployments.
- Monitor AI systems using observability and performance monitoring tools.
- Collaborate with cross-functional teams including engineering, architecture, data, and business stakeholders.
- Ensure AI solutions meet scalability, security, reliability, and performance requirements.
Required Skills:
- 10+ years of Software Engineering, Data Engineering, or Solution Architecture experience.
- 3+ years of hands-on AI/ML solution development and deployment experience.
- Strong expertise in Python development.
- Experience with FastAPI and backend API development.
- Hands-on experience with Generative AI solutions.
- Strong understanding of Large Language Models (LLMs).
- Experience building Agentic AI solutions and intelligent agents.
- Experience with AWS Bedrock and Amazon SageMaker.
- Strong background in AI/ML Platform Development.
- Experience with API Development and scalable backend services.
- Experience implementing CI/CD Pipelines for AI/ML workloads.
- Experience using GitHub Copilot or similar AI-assisted development tools.
- Hands-on experience with monitoring and observability tools such as:
- Splunk
- Datadog
- Arize
- Galileo
- Similar AI monitoring platforms
Preferred Qualifications:
- Experience designing enterprise-scale AI platforms.
- Knowledge of MLOps and AI governance frameworks.
- Experience with cloud-native architectures and distributed systems.
- Familiarity with model monitoring, drift detection, and AI observability.
- Experience integrating AI solutions into large-scale enterprise environments.
- AWS certifications or AI/ML-related certifications are a plus.
Best Regards: Tanuja P Phone: Email: