Hybrid Data and AI Engineer

Posted last month

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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
  • Contribute to development of innovative data-driven solutions for Automotive, Manufacturing, and Smart Infrastructure customers

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)

Benefits

  • plus benefits

Job title

Data and AI Engineer

Job type

Experience level

Mid levelSenior

Salary

$110,000 - $130,000 per year

Degree requirement

No Education Requirement

Location requirements

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