Senior Associate, Artificial Intelligence

2 days ago

Melbourne, Victoria, Australia L3HHCM20 Full time $100,000 - $150,000 per year

Job Title:   Senior Associate, Artificial Intelligence

Job ID: 30115

Job Location: Melbourne, FL, Rochester, NY, Herndon, VA

Job Description: 

The SAS Artificial Intelligence team is seeking an individual with strong working knowledge in application development, artificial intelligence, machine learning, and generative AI to support the research and development of AI offerings that contribute to internal and external product offerings.

Essential Functions: 

  • Works with domain experts to identify which problems can and should be solved with machine learning
  • Clearly translate domain-specific problems into solutions using data-driven models
  • Actively contribute to the improvement of MLOps and data pipelines with the current team
  • Work with multi-domain datasets and phenomenologies to develop effective data plans
  • Perform data curation and exploratory data analysis
  • Ensure proper regression testing, validation, and documentation of ML models
  • Identify existing pre-trained models and integrate into solution pipelines
  • Identify state-of-the-art foundation models and standardize use in larger AI solutions
  • Implement, maintain, and optimize containerization using Docker for seamless deployment, scaling of AI / ML workloads, and sharing with other teams for easy reproduction

   Qualifications:

  • Pursuing a Master's Degree in Mathematics, Computer Science, Computer Engineering, Artificial Intelligence, or have completed their Master's degree within the last 12 months, regardless of age.

 Preferred Additional Skills:

  • Proficiency with Differentiable Programming libraries (e.g., PyTorch, TensorFlow)
  • Proficiency with Database Manipulation libraries (e.g., SQL, NoSQL, Pandas, PySpark)
  • Proficiency with Python and building Virtual Environments (e.g., Conda, Docker)
  • Demonstrated experience developing models using classical and SOA Machine Learning
  • Experience maintaining training and inference infrastructure for ML models
  • Excellent interpersonal and effective communication skills
  • Passionate about continuous learning and enjoy working in a fast paced, dynamic team environment

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