onsite
Engineering Manager - Data Science
Engineering Manager - Data Science
The Engineering Manager - Data Science will lead a team of data scientists and machine learning engineers, focusing on designing, developing, and deploying machine learning and deep learning systems for classification and prediction. This role involves running experiments, implementing algorithms, and transforming data science prototypes into efficient self-learning applications, with a strong emphasis on data mining, statistical analysis, and cloud deployment.
About the role
About the Role
We are looking for a Machine Learning (ML) Engineer to help us create Machine Learning and deep learning models for classification and prediction. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in data science, statistics and programming. Your ultimate goal will be to shape and build efficient self-learning applications.
Responsibilities
- Designing and developing machine learning and deep learning systems.
- Running machine learning tests and experiments.
- Implementing appropriate ML algorithms.
- Clearly articulate and present recommendations to business partners, and influence future plans based on insights.
- Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling.
- Study and transform data science prototypes.
- Design machine learning systems.
- Research and implement appropriate ML algorithms and tools.
- Select appropriate datasets and data representation methods.
- Perform statistical analysis and fine-tuning using test results.
Requirements
- 9+ years of experience in managing a team of data scientists, machine learning engineers and big data specialists.
- Solid understanding of machine learning.
- Lead data mining and collection procedures.
- Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms.
- Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc.
- Programming experience with SQL, shell script, Python, etc.
- Understanding of data structures, data modelling and software architecture.
- Deep knowledge of math, probability, statistics and algorithms.
- Excellent communication skills.
- Outstanding analytical and problem-solving skills.
- Experience in deploying machine learning models in a cloud environment such as AWS.