Description

ESSENTIAL SKILLS:1.5+ years of software development in one or more languages (Python| C/C++| Go| Java); strong hands-on experience building and maintaining large-scale Python applications preferred.2.3+ years designing| architecting| testing| and launching production ML systems| including model deployment/serving| evaluation and monitoring| data processing pipelines| and model fine-tuning workflows.3.Practical experience with Large Language Models (LLMs): API integration| prompt engineering| fine-tuning/adaptation| and building applications using RAG and tool-using agents (vector retrieval| function calling| secure tool execution).4.Understanding of different LLMs| both commercial and open source| and their capabilities (e.g.| OpenAI| Gemini| Llama| Qwen| Claude).5.Solid grasp of applied statistics| core ML concepts| algorithms| and data structures to deliver efficient and reliable solutions.6.Strong analytical problem-solving| ownership| and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact.7.Preferred:Proficiency building and operating on cloud infrastructure (ideally AWS)| including containerized services (ECS/EKS)| serverless (Lambda)| data services (S3| DynamoDB| Redshift)| orchestration (Step Functions)| model serving (SageMaker)| and infra-as-code (Terraform/CloudFormation).

Essential Skills: ESSENTIAL SKILLS:1.5+ years of software development in one or more languages (Python| C/C++| Go| Java); strong hands-on experience building and maintaining large-scale Python applications preferred.2.3+ years designing| architecting| testing| and launching production ML systems| including model deployment/serving| evaluation and monitoring| data processing pipelines| and model fine-tuning workflows.3.Practical experience with Large Language Models (LLMs): API integration| prompt engineering| fine-tuning/adaptation| and building applications using RAG and tool-using agents (vector retrieval| function calling| secure tool execution).4.Understanding of different LLMs| both commercial and open source| and their capabilities (e.g.| OpenAI| Gemini| Llama| Qwen| Claude).5.Solid grasp of applied statistics| core ML concepts| algorithms| and data structures to deliver efficient and reliable solutions.6.Strong analytical problem-solving| ownership| and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact.7.Preferred:Proficiency building and operating on cloud infrastructure (ideally AWS)| including containerized services (ECS/EKS)| serverless (Lambda)| data services (S3| DynamoDB| Redshift)| orchestration (Step Functions)| model serving (SageMaker)| and infra-as-code (Terraform/CloudFormation)

Key Skills

Education

Bachelor's degree