Data/Modeling Engineer IV (AI Engineer)

Role & Responsibilities

• Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch.
• Strong skills in programming languages such as Python, R, or Java, essential for developing AI applications.
• Build and maintain AI pipelines, from data processing to model deployment.
• Analyze complex datasets to uncover insights and improve model performance.
• Ability to analyze complex problems and develop effective AI-driven solutions.
• Deploy AI solutions on cloud platforms such as AWS.
• Collaborate with technical and business teams to identify AI opportunities and deliver impactful solutions.
• Deep understanding of deploying AI applications within a CICD environment, specifically AWS.

Preferred qualifications

• Experience with MLOps tools (e.g., MLflow, Kubeflow).
• Knowledge of big data technologies (Spark, Hadoop, Databricks).
• Background in NLP, computer vision, or other advanced AI techniques.
• Relevant certifications (Coursera, edX, AWS, Azure, Google Cloud).

Required qualifications

• Strong programming skills in Python, R, or Java.
• Hands-on experience with machine learning algorithms and frameworks.
• Familiarity with major cloud platforms for AI deployment.
• Strong analytical and problem solving skills.
• Solid foundation in mathematics and statistics.