AI/ML Engineer / Generative AI Engineer
About the role
Job Details
Job Title: AI/ML Engineer / Generative AI Engineer
Location: Indianapolis, IN
Duration: 6 months
GBaMS ReqID: 10937381
Essential / Digital Skill: Artificial Intelligence (AI)
Experience Required: 4-6 years
Role Summary
Design, engineer, and implement enterprise-scale AI/ML and Generative AI solutions for clinical data workflows.
Deliver secure and scalable AI architectures independently.
Maintain accountability for project delivery and technical excellence.
Develop solutions supporting clinical data workflows and enterprise AI initiatives.
Key Responsibilities
Conceive, design, and implement AI solutions.
Analyze business and technical workflows and develop innovative technical approaches.
Design secure and scalable architectures for:
AI/ML
Generative AI
Agentic AI solutions
Design and implement emerging AI technologies, including:
Retrieval-Augmented Generation (RAG)
Agentic workflows
Agent-to-agent communication
Build and deploy predictive analytics and Generative AI solutions into production.
Develop robust:
Data pipelines
Model pipelines
APIs
Integration layers
Establish and implement AI/MLOps best practices.
Implement:
CI/CD pipelines
Monitoring
Observability
Own project scope and delivery accountability.
Ensure AI solutions meet enterprise security, scalability, and reliability requirements.
Required Qualifications
Bachelor’s degree in:
Computer Science
Engineering
Mathematics
Statistics
Related field
Equivalent professional experience may be considered.
5+ years of software, data, or ML engineering experience.
3+ years of experience deploying ML solutions into production.
Strong experience with AWS, Databricks, Python, PySpark, and DevOps technologies.
AWS Technologies
Amazon SageMaker
Amazon EC2
Amazon S3
AWS Lambda
Amazon RDS
AWS Glue
Amazon Athena
Amazon DynamoDB
PostgreSQL
Databricks Technologies
Databricks Platform
Delta Lake
Apache Spark
MLflow
Databricks SQL
Programming & Data
Python
PySpark
SQL
Apache Spark
DevOps & Infrastructure
Git
CI/CD
Docker
Kubernetes
Infrastructure as Code (IaC)
Terraform
CloudFormation
AI & Data Technologies
Generative AI frameworks
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Agentic AI
Agent-to-agent communication
Vector Databases
Predictive Analytics
Machine Learning
AI/MLOps
Key Skills / Keywords
Artificial Intelligence (AI)
Machine Learning
Generative AI
Agentic AI
LLMs
RAG
Vector Databases
AWS
SageMaker
Databricks
Delta Lake
Spark
MLflow
Python
PySpark
SQL
CI/CD
Docker
Kubernetes
Terraform
CloudFormation
MLOps
Clinical Data Workflows
Predictive Analytics
Responsibilities
- Conceive, design, and implement AI solutions
- Analyze business and technical workflows and develop innovative technical approaches
- Design secure and scalable architectures for AI/ML and Generative AI
- Build and deploy predictive analytics and Generative AI solutions into production
- Establish and implement AI/MLOps best practices
- Own project scope and delivery accountability
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or related field
- 5+ years of software, data, or ML engineering experience
- 3+ years of experience deploying ML solutions into production
- Strong experience with AWS, Databricks, Python, PySpark, and DevOps technologies
Skills mentioned
About TALENT Software Services
TALENT Software Services is a Service Disabled Veteran-Owned Small Business (SDVOSB) providing the best IT Consulting and Professional Services nationwide for over 35 years. We are one of the most trusted partners for delivery of Project, Data Management, Application, and Infrastructure Services, TALENT staffs technologies including Java, .NET, Project Management, Analytics, Architecture, and more. Representation that counts: This is where top Twin Cities TALENT find their value in the local marketplace. "It's easy to get the job done when you're surrounded by TALENT! "