Our client is seeking an AI Engineer to design, implement, and optimize machine learning solutions that enhance operational efficiency, safety, and automation.
Requirements
- Proficiency in Python or Java.
- Familiarity with data engineering tools and platforms (Hadoop, Spark, EMS, AWS S3, PySpark, RDS, JupyterLab).
- Experience with cloud services (AWS, Azure, Databricks) and open-source environments.
- Knowledge of machine learning frameworks (TensorFlow, PyTorch, scikit-learn, Keras).
- Understanding of databases and SQL for data management.
- Basic knowledge of data visualization tools (Tableau, PowerBI, TIBCO).
- Experience with IoT devices, sensors, or edge computing in industrial environments.
Responsibilities
- Assist in designing, developing, and deploying AI models tailored to operational needs (e.g., predictive maintenance, scheduling, safety monitoring).
- Collaborate with senior engineers to apply machine learning techniques for actionable insights.
- Collect, preprocess, and clean data from diverse sources (sensors, GPS, logs).
- Conduct exploratory data analysis to identify trends and patterns.
- Build and maintain ETL pipelines for AI applications.
- Partner with data scientists to develop AI-driven solutions for scheduling, route planning, and efficiency.
- Participate in testing and optimization of AI models to ensure accuracy, reliability, and compliance.
Other
- Authorization to work in the United States.
- 2+ years of experience in AI/ML development, data science, or software engineering.
- Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.
- Ability to work collaboratively in a team-oriented environment.
- Effective verbal and written communication skills.
