Hybrid Lead Engineer

at Ford Motor Company

• Job title: Lead Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Docker, Google Cloud Platform, Java, NoSQL, Open Source, Python, PyTorch, RDBMS, Ruby on Rails, SQL, Tensorflow, Terraform
• Location requirements: Hybrid, Chennai, India

About the role

• Lead Engineer developing AI and machine learning applications for Ford Credit Services. Utilizing deep learning, NLP, and innovative technologies to drive business value.

Responsibilities

• Develop automation design and structure automation packaging
• Develop machine learning models & algorithms
• Select appropriate datasets and data representation methods
• Develop machine learning app & component in alignment with project requirements and business goals
• Create training model as a product like Prediction,“Log Analyzer”, “Classifications – text/email”
• Build scalable machine learning pipelines and deploy AI solution.
• Implement and maintain MLOps practices for continuous integration/delivery (CI/CD), monitoring, and alerting of models.
• Create containerization and orchestration using Docker
• Lead design discussions and mentor junior and mid-level engineers on cloud architecture principles and GCP technologies.
• Train systems and retrain as necessary
• Develop and perform machine learning tests cases/suits
• Develop Case managers and NLP solutions using Pega and explore open source tools.
• Should have technology exposure python, Java, PRPC, Pega Robotics, SQL.
• Participate in reviews to ensure all requirements are met through design, build and implementation phases
• Manage and direct research and development processes to meet the needs of our AI strategy
• Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, and training of AI/ML solutions
• Advise leaders on technology, strategy, and policy issues related to AI/ML

Requirements

• Bachelor Degree in Computer Information Systems or related field
• Hands-on knowledge in machine learning, deep learning, TensorFlow, NLP, pytorch
• Must have Python, SQL very strong in coding.
• Expertise in REST API development, NoSQL design, RDBMS design
• Should be familiar by integrating AI/ML Model services with application & tools
• Deep hands-on experience with key GCP services including, Compute engine, Cloud functions, Cloud App Engine, Cloud Run
• Should be capable of analyzing structure & unstructured data
• Proficiency with Infrastructure as Code (IaC) technologies like Terraform and CloudFormation.
• Must have API, microservice and public cloud experience is an advantage
• Experience in PRPC or Pega Robotics
• DevOps and Security guard rails is an advantage.

Benefits

• Health insurance
• Retirement plans
• Professional development