Ability to communicate effectively across teams, and build positive relationships
Demonstrate ability to work on teams, collaborate on projects, and contribute to the overall successful delivery of projects
Demonstrate drive and proactiveness to get things done, be solutions–oriented, and enjoy solving complex problems
Demonstrate resourcefulness, curiosity, creativity, courage, critical thinking, and a desire to use technology to search for new and innovative solutions to problems
Exercise sound reasoning, ingenuity, and inclusive perspectives to analyze issues, solve problems and make recommendations
Ability to execute, manage competing priorities, and deliver to deadlines
Requirements
Working knowledge of AI/ML fundamentals, including model types (transformers, embeddings, diffusion), data pipelines, and inference workflows
Proficiency in Python, with exposure to frameworks such as FastAPI, Flask
Familiarity with GenAI tooling (OpenAI, Anthropic, Gemini, etc.) and vector stores (Pinecone, FAISS, Weaviate)
Exposure to cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
Understanding of MLOps concepts—version control (Git, DVC), CI/CD, observability, and deployment best practices
Experience in at least one of the following:
- Academic or personal AI/ML projects
- Internship or co-op in software or data engineering
- Technical bootcamp or certificate program in AI, ML, or cloud computing
- Certifications such as AWS Cloud Practitioner, Microsoft MS-900, or GCP Cloud Engineer are a plus
Excellent communication, teamwork, and problem-solving abilities
U.S. work authorization required
Benefits
Medical, Dental, and Vision Insurance
401(k)
Paid company holidays
Paid time off
Paid parental and caregiver leave
Plus more! See benefits https://www.aheadbenefits.com/ for additional details.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.