AI/ML Engineer

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