Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
Be accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
Ensures successful collaboration across teams and stakeholders
Identifies and mitigates issues to execute a book of work while escalating issues as necessary
Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
Creates a culture of diversity, equity, inclusion, and respect for team members and prioritizes diverse representation
Enable the Gen AI platform and implement the Gen AI Use cases ,LLM fine tuning and multi agent orchestration
Manage an AIML Engineering scrum team which includes ML engineers, Senior ML engineers and lead ML engineer.
Required Qualifications, Capabilities, and Skills
Formal training or certification on software engineering concepts and 5+ years of applied experience
Extensive practical experience with Python and AWS cloud services, including EKS, EMR, ECS, and DynamoDB.
Experience in DataBricks ML lifecycle development.
Advanced knowledge in software engineering, AI/ML, machine learning operations (MLOps), and data governance.
Demonstrated prior experience in leading complex projects, including system design, testing, and ensuring operational stability.
Expertise in computer science, computer engineering, mathematics, or a related technical field.
Understanding of large language model (LLM) approaches, such as Retrieval-Augmented Generation (RAG)
Preferred qualifications, capabilities, and skills
Real-time model serving experience with Seldon, Ray, or AWS SM