AI Engineer Job Description Template
Our company is looking for a AI Engineer to join our team.
Responsibilities:
- Develop and maintain data ontologies for key market segments;
- Mentoring/training junior team members;
- Train and mentor junior team members;
- Develop and maintain data ontologies for key market segments;
- Collaborate with clients to develop pipeline infrastructure, and to ask appropriate questions to gain deep understanding of client data;
- Collaborate with data scientists to develop automated orchestration of model pipelines to solve Cerebri AI business use case objectives.
Requirements:
- Good verbal and written communication skills, with both technical and non-technical stakeholders;
- Minimum 2 years of Production programming experience in Scala, Spark, PySpark, Big Data, Python;
- Production systems integration experience;
- Experience working directly with relational database structures and flat files;
- Experience deploying containerized Docker/Kubernetes applications;
- Experience with Microsoft Azure or similar cloud computing solutions;
- Good verbal and written communication skills, with both technical and non-technical stakeholders;
- Experience working directly with relational database structures and flat files;
- Proficiency with Linux/Unix operating systems, utilities and tools;
- Minimum 2 years of Production programming experience in Scala, Spark, PySpark, Big Data, Python;
- A degree in Computer Science, Engineering, AI, Machine Learning, BI, MIS, or an equivalent technology field;
- Minimum 2 years of Production experience with Hadoop Big Data platform;
- A degree in Computer Science, Engineering, AI, Machine Learning, BI, MIS, or an equivalent technology field;
- Production systems integration experience;
- Experience with Microsoft Azure or similar cloud computing solutions.