Artificial Intelligence Engineer

What you'll work on

• Develop, train, and fine-tune machine learning models using frameworks such as TensorFlow and other AI tools to solve complex problems across various domains.
• Implement unsupervised learning techniques for pattern recognition, anomaly detection, and data clustering to extract valuable insights from large datasets.
• Design and optimize scalable ETL (Extract, Transform, Load) pipelines for efficient data ingestion and processing using tools like Talend, Hadoop, Spark, and Bash scripts.
• Collaborate with data engineers to develop robust database schemas and ensure efficient database design for storing large-scale data.
• Deploy AI models into production environments utilizing cloud platforms such as AWS, ensuring high availability and performance.
• Conduct data mining activities to uncover hidden patterns and relationships within linked data sources for enhanced analytics capabilities.
• Utilize natural language processing (NLP) techniques to develop intelligent language understanding applications.
• Integrate machine learning frameworks with existing systems using languages like Python, Java, C, R, and VBA for automation and analysis tasks.
• Perform model training and evaluation to improve accuracy, efficiency, and robustness of AI solutions while maintaining detailed documentation of processes.
• Support cross-functional teams in leveraging big data tools like Hadoop and Spark for analytics projects that inform strategic decisions.

What we're looking for

• Proven experience with cloud services such as AWS for deploying scalable AI solutions.
• Strong proficiency in Python along with familiarity with machine learning frameworks like TensorFlow or PyTorch.
• In-depth knowledge of machine learning techniques including supervised and unsupervised learning methods.
• Experience with big data technologies including Hadoop, Spark, SQL databases, and ETL processes.
• Solid understanding of database design principles for managing large datasets efficiently.
• Programming skills in Java or C are highly desirable for system integration tasks.
• Familiarity with natural language processing (NLP), linked data concepts, and semantic web technologies.
• Ability to perform model training, deployment, and optimization in a production environment on cloud platforms such as AWS.
• Knowledge of analytics tools such as Looker or SAS for visualization and reporting purposes.
• Experience working with data mining techniques to extract actionable insights from complex datasets.
• Strong analytical skills complemented by experience in quantum engineering or related fields are a plus.
• Excellent problem-solving abilities combined with effective communication skills to collaborate across teams. Join us if you’re passionate about pushing the boundaries of artificial intelligence! Bring your expertise in machine learning frameworks, big data tools, and cloud computing to help us build innovative solutions that transform industries through intelligent technology.

Pay: $50,000.00 - $150,000.00 per year

Work Location: In person