AI/ML Engineer (Dearborn)

Job Description: AI/ML Engineer Were seeking a highly skilled AI/ML Engineer to join our engineering team in USA. his role requires a strong foundation in computer science, statistics, and data science, along with hands-on experience in modern ML frameworks. Required Experience and Exposure Bachelors or masters degree in computer science, Machine Learning, Business Analytics, Data Science or related field Proven experience in building and deploying ML models in real-world applications Strong programming skills in Python (preferred), Gherkin. Solid understanding of machine learning algorithms, deep learning, and statistical modeling Experience with any of the cloud platforms (AWS or any) and ML tools (Databricks, MLflow, etc.) 7301 Parkway Drive S, Suite 1032 | Hanover MD 21076 | 1.888.963.7740 CONFIDENTIAL 2 Job Duties and Responsibilities: Develop AI-driven solutions and intelligent agents tailored to automotive applications, leveraging Python, Gherkin, C++, and modern AI/ML frameworks across both front-end and back-end systems. Build and implement AI-powered tools to streamline and enhance various stages of automotive testing and validation. Integrate and manage large language models (LLMs) such as Llamas, ChatGPT, and Gemini using AWS Bedrock and Amazon SageMaker for inference, deployment, and fine-tuning. Fine-tune LLMs and AI models to optimize performance and accuracy for domain-specific automotive use cases. Deploy, monitor, and maintain AI systems in production environments, ensuring reliability, scalability, and compliance. Collaborate closely with cross-functional teamsincluding data scientists, HIL testers, and feature ownersto embed AI capabilities into automotive system architectures. Required Skills: Programming: Python, Exposure to C++ Behavior Driven Development: Gherkin Cloud Platforms: AWS Cloud Services: AWS Bedrock and Amazon SageMaker Preferred Skills: ML Frameworks: (Example: TensorFlow, PyTorch, Scikit-learn) Data Management and Analysis: (Example: SQL, Spark, Pandas) Devops/ Deployment: exposure to Docker or Kubernetes, CI/CD pipeline etc Interpersonal Skills: Ability to work in a team environment, strong interpersonal, written and verbal communication skills Highly motivated self-starter High level of interpersonal and problem-solving skills Demonstrated capability and willingness to teach/coach/mentor others Demonstrated critical thinking skills