We're currently on the lookout for an experienced Machine Learning Engineer who can apply innovative AI solutions to address business challenges in the Market Research and Retail industry.
The company is a global leader in consumer marketing insights. They leverage decades of global experience and category expertise, a unique behavioral framework, cutting-edge AI technology, and a digital-first strategy to help brands maximize the potential of their marketing efforts, particularly at the point of transaction.
The ideal candidate should have a deep understanding of Artificial Intelligence and the ability to design, develop and deploy AI solutions that address business problems in the Market Research and Retail space.
They must have a core and demonstrable competency in using Python for Computer Vision and NLP with an understanding of Hypothesis Testing and ML model explainability. Familiarity with MLOps concepts and best practices is a must.
Responsibilities:
- Develop, validate, fine-tune, diagnose and audit new and existing Machine Learning models and pipelines.
- Conduct experiments and analyses to evaluate hypotheses using the scientific method.
- Develop scalable and efficient workflows and solutions for production environments.
- Perform model inference in timely response to ad-hoc requests.
- Develop and maintain data pipelines and infrastructure to support AI solutions.
- Create and maintain thorough technical documentation of the entire ML Lifecycle
- Bachelor’s degree in Computer Science, Mathematics, Statistics or a related field.
- At least 5 years of experience using Statistics and Machine Learning to accomplish quantifiable goals.
- Expertise in Machine and Statistical Learning techniques with an emphasis on Transfer and Reinforcement Learning.
- Strong knowledge of Deep Learning frameworks and tools.
- Command of Big Data tools and techniques.
- Demonstrable knowledge of Python code development, refactoring and automation within shell environments.
- Competence in Containerization and ML Pipeline orchestration.
- Competence in using SQL for data transformation and retrieval.
- Familiarity developing ML with Fast AI.
- Excellent communication and interpersonal skills.
- Able to thrive in a collaborative and fast-paced environment with minimal supervision.
- Knowledge of Digital Transformation concepts and workflows within Cloud ML environments like Vertex AI, SageMaker and Azure AI.
- Familiarity with H2o’s Driverless AI and Steam not required, is a plus.
This job is already closed and no longer accepting applicants, sorry.
