Machine Learning Engineer

Position: AI/ML Engineer

Location: Dearborn, MI 48124

Duration: Long Term Contract

Job Description:

This role will involve the development and maintenance of applications that can ingest data from multiple engineering systems in the backend and provide an AI/ML enabled web front end to provide predictive analytics, automation, and engineering insights.

Experience Required
• At least 5 years of experience in Data Engineering with a focus on full stack development.
• Proven experience in developing applications with integrated AI/ML features.
• Work with databases for data storage, retrieval, and management tailored to AI/ML needs.
• Strong experience with ETL processes (e.g., using tools like Apache Kafka, Talend, or custom scripts).
• Knowledge of various database systems (SQL, NoSQL like MongoDB, Cassandra).
• Experience with data warehousing concepts and tools (e.g. Google BigQuery).
• Incorporate machine learning models into our applications to enhance functionality, including but not limited to natural language processing, image recognition, and predictive analytics.
• Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn for model development.
• Knowledge of chatbot development platforms like Dialogflow.
• Knowledge of frameworks like LangChain and Retrieval Augmented Generation (RAG).
• Design, develop, and maintain scalable and efficient web applications using modern frameworks (e.g., React, Angular for frontend; Node.js, Django for backend).
• Proficiency in at least one major cloud platform (Google Cloud preferred) for data storage, processing, and hosting AI services.
• Develop RESTful APIs to ensure seamless integration between frontend, backend, and external services.
• Basic understanding of CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
• Continuously improve application performance through code refactoring, optimization of data pipelines, and tuning of machine learning models.

Experience Preferred
• Work closely with data scientists, product managers, and other developers to conceptualize and execute project requirements.
• Write unit and integration tests, manage CI/CD pipelines, and ensure smooth deployments to production environments.
• Maintain clear documentation for systems, services, and models to support future maintenance and development.

Education Required
• Bachelors/Masters degree in computer science, Information Technology, or related fields with a special focus on Data Engineering and AI/ML.

Education Preferred
• Certifications in AI/ML like Google's Professional Machine Learning Engineer are optional but beneficial.