Tech Stack
AWSAzureCloudETLPythonPyTorchTensorflow
About the role
- Lead complex AI projects including a team of professionals
- Support the planning and execution of data migration and integration initiatives
- Assist in the design, development, and maintenance of data pipelines and ETL workflows
- Work closely with data engineers and scientists to build and enhance machine learning models
- Contribute to the development and deployment of AI-driven applications and services
- Stay informed on emerging trends and advancements in data science and AI
Requirements
- 3 years of professional experience in data engineering, AI/ML, or a related technical field
- 1 year of hands-on experience supporting complex AI-related projects
- Strong understanding of programming principles and data structures
- Proficiency in Python (3 yrs experience)
- Strong knowledge in at least one of the following areas: Generative AI services (e.g., OpenAI, Bedrock) or Computer Vision
- Experience with cloud platforms like AWS, Azure, or Google Cloud
- Familiarity with version control systems like Git
- Basic understanding of data analysis techniques and statistical methods
- Familiarity with machine learning frameworks such as TensorFlow or PyTorch (preferred)
- Understanding of data preprocessing techniques and feature engineering (preferred)
- Experience with Snowflake (preferred)
- 2 years of experience leading technical projects (preferred)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringAI/MLPythonGenerative AIComputer Visiondata analysis techniquesstatistical methodsdata preprocessingfeature engineeringETL workflows
Soft skills
leadershipteam collaborationproject managementcommunication