Principal AI Engineer

Job Description

As a Principal AI Engineer, he will be part of a high performing team working on exciting opportunities in AI within Ford Credit. We are looking for a highly skilled, technical, hands-on AI engineer with a solid background in building end-to-end AI applications, exhibiting a strong aptitude for learning and keeping up with the latest advances in AIDevelop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . He should be able to lead technical discussion and technical mentor for the team.

Responsibilities

• Excellent in communication and presentation skills.
• Ability to do stakeholder management.
• Ability to collaborate with a cross-functional team involving data engineers, solution architects, application engineers, and product teams across time zones to develop data and model pipelines.
• Ability to drive and mentor the team technically, leveraging cutting edge AI and Machine Learning principles and develop production-ready AI solutions.
• Mentor the team of data scientists and assume responsible for the delivery of use cases.
• Ability to scope the problem statement, data preparation, training and making the AI model production ready.
• Work with business partners to understand the problem statement, translate the same into analytical problem.
• Ability to manipulate structured and unstructured data.
• Develop, test and improve existing machine learning models.
• Analyse large and complex data sets to derive valuable insights.
• Research and implement best practices to enhance existing machine learning infrastructure. Develop prototypes for future exploration.
• Design and evaluate approaches for handling large volume of real data streams.
• Ability to determine appropriate analytical methods to be used.
• Understanding of statistics and hypothesis testing.
  
  
  

Qualifications

Professional Experience:

• Potential candidates should possess 10+ years of strong working experience in AI.
• BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics).
• Possess a strong analytical mindset and be very comfortable with data.
• Experience with handling both relational and non-relational data.
• Hands-on experience with analytics methods (descriptive/predictive/prescriptive), Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn).
• Background of Software engineering with excellent Data Science working experience.
  
  
  

Technical Experience:

• Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) .