Job Specifications
Job Description: AI/ML Engineer We're 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 * Bachelor's or master's 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 teams--including data scientists, HIL testers, and feature owners--to 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