Shire Jobs

Job#: 2052298

Job Description:

Responsibilities:

• Design and develop AI systems for software quality and warranty.
• Lead the development and maintenance of AI and machine learning algorithms.
• Ensure the delivery of stable, high-quality infotainment products.
• Collaborate with various teams to meet product and engineering excellence.
• Thrive in a fast-paced, dynamic environment.

Required Skills:

• Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, Operations Research, or a related field.
• Experience with the complete software lifecycle for embedded systems.
• Strong technical writing and oral communication skills.
• Expertise in two or more of the following domains:
  • Regression algorithms (linear/non-linear)
  • Time series analysis and statistics
  • Gaussian processes, Bayesian statistics
  • Neural network architectures (MLP, CNN, RNN)
  • Quantitative model performance assessment
  • Physics-informed neural networks
  • Uncertainty quantification for time series analysis

Preferred Skills:

• Define problems, devise solutions, and create delivery roadmaps.
• Analyze structured and unstructured data (text, audio, images, video).
• Manipulate high-volume, high-dimensionality data to identify patterns and trends.
• Apply AI and machine learning techniques to solve complex problems.
• Analyze and visualize diverse data sources and report results clearly.
• Fulfill problem formulation and ML technique consulting requests.
• Communicate and present analytical models to teams and executives.
• Collaborate with software stakeholders and present results concisely.
• Manage software development schedules and backlogs.

Experience:

• Required: 3+ years of experience delivering and maintaining production software products.

Education:

• Required: Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, Operations Research, or a related field.
• Preferred: Doctorate or Master's degree in a related field with relevant data-science experience.

Additional Information:

• Position is hybrid (3 days a week in office).
• Proficiency in Python, including PyTorch and TensorFlow packages, is required.

EEO Employer