Fullstack AIML Engineer

We are seeking a passionate and experienced Full Stack AI/ML Engineer with a strong background in machine learning and a drive for building intelligent systems. As a Full-Stack AI/ML Engineer on the Ford Pro Charging team you will design build and ship intelligent services that power our global EV-charging platform. If you love turning data into real-world impact and thrive on end-to-end ownershipfrom research notebooks to production APIsthis is your playground.

Design & Develop AI Solutions: Lead the design development training and evaluation of machine learning models and AI solutions across various domains to enhance our products and services.

Identify AI Opportunities: Proactively identify and explore opportunities to apply data-driven solutions to improve existing products optimize internal processes and create new value propositions.

Model Implementation & Optimization: Implement optimize and deploy various machine learning algorithms and deep learning architectures to solve complex problems.

Data Management & Engineering: Collaborate with data engineers to ensure robust data collection preprocessing feature engineering and pipeline development for effective model training and performance.

Backend Integration: Design and implement robust APIs and services to integrate AI/ML models and solutions seamlessly into our existing backend infrastructure ensuring scalability reliability and maintainability.

Performance Monitoring & Improvement: Continuously monitor evaluate and fine-tune the performance accuracy and efficiency of deployed AI/ML models and systems.

Research & Innovation: Stay abreast of the latest advancements in AI ML and relevant technologies and propose innovative solutions to push the boundaries of our product capabilities.

Testing & Deployment: Participate in the rigorous testing deployment and ongoing maintenance of AI/ML solutions in production environments.

Required Skills & Qualifications:

• Experience: 2 years of professional experience in Artificial Intelligence Machine Learning or Data Science roles with a proven track record of delivering production-grade AI/ML solutions (or equivalent demonstrable expertise).
• Technical Expertise:
  • Proficiency in Python and strong experience with core AI/ML libraries and frameworks (e.g. TensorFlow PyTorch scikit-learn Hugging Face Transformers).
  • Good understanding of backend development.
  • Solid grasp of various machine learning algorithms (supervised unsupervised reinforcement learning) and deep learning architectures.
  • Demonstrated experience applying machine learning to complex datasets including structured and unstructured data.
  • Proficient in API design (REST GraphQL) microservices and database design (SQL/NoSQL); production experience on at least one major cloud (AWS Azure or GCP).
  • Practical knowledge of Docker Kubernetes and CI/CD pipelines (GitHub Actions Argo or similar).
• Problem-Solving: Excellent analytical and problem-solving skills with proven ability to break down complex problems into iterative experiments and devise effective scalable AI/ML solutions
• Enthusiasm & Learning: A genuine passion for technology coupled with a self-driven commitment to continuous learning and mastery of new techniques. We value individuals who proactively identify challenges conceptualize solutions and lead ideation and innovation beyond mere task execution
• Communication: Strong communication skills to articulate complex technical concepts to both technical and non-technical stakeholders.
• Education: Bachelors or masters degree in computer science Artificial Intelligence Machine Learning or a related quantitative field.

Bonus Points:

• Domain expertise in EV charging smart-grid or energy-management systems.
• Experience with distributed data technologies (Spark Flink Kafka Streams).
• Contributions to open-source ML projects or peer-reviewed publications.
• Knowledge of ethical and responsible AI frameworks including bias detection and model explainability.