Machine Learning Engineer

Eyesee d.o.o.

Beograd

05.02.2020.

Python Django Prototype intermediate

EyeSee is one of the fastest growing behavioral insights companies in the world, based in New York, Antwerp, Paris, London and Belgrade. We use the unique combination of remote explicit and implicit methods to unlock the next level of insights for our clients.

Through highly effective platforms such as online eye tracking, facial coding, virtual shopping, and survey, we measure the impact of shopper marketing, advertising, digital, and innovation. For research purposes, respondents use their own devices (computers and mobile phones), thus cutting down time, costs, and enabling testing on a global scale.

Our teams conduct studies in more than 40 countries. We had the privilege to work with global brands in a myriad of industries, some of which are Johnson & Johnson, Twitter, Microsoft, Nestle, and many others. Find out more at www.eyesee-research.com

If you believe that you comply with the terms, feel free to apply for the position:

Machine Learning Engineer

Belgrade

Your role

We are looking for a versatile and motivated software engineer, specialized in Machine Learning services, who will contribute to ideas and participate in shaping the future. You will work in a high paced environment and help in building the next-generation machine learning products that rely on predictive modeling for EyeSee. To a certain extent, you will be given the ownership and autonomy over the research and development of your projects and you will be expected to execute well and on time. Your work will enable other engineering teams and data scientists to unlock the full potential of our data.

Responsibilities

Support existing codebases for data integration and production support for our core models
Gather and analyze large scale data sets from multiple sources
Participate in both early-stage algorithm design and prototyping and later-stage algorithm implementation and testing
Collaboratively develop, implement, and test a variety of deep learning algorithms
Explore a variety of approaches
Refine promising ideas into ready models
Present your results to business and engineering teams with your findings
Work on data cleaning, validation and visualization by utilizing internal and 3rd party tools
Read research papers and blogs to keep up to date with latest developments in machine learning
Challenge the status quo and strive to get better with every iteration

An ideal candidate would have

Bachelor’s degree in Computer Engineering / Software Engineering / Information Technology
2+ years of experience in Machine Learning applications development with strong to expert knowledge of Python as a primary language
Proficiency and hands on work experience with Python and Jupyter-notebooks
Experience with Python web frameworks (Flask, Django-web, etc.)
Advanced knowledge of Python libraries for data manipulation and visualization (NumPy, Pandas, SciPy, etc.)
Experience in working with computer vision such as OpenCV
Experience in working with and integrating services from popular ML packages such as SciKit Learn, TensorFlow, XGBoost
Experience in building automated processes that are supportable and monitored
Collaboration skills and ability to communicate complex technical concepts to technical and non-technical audiences
Ability to self-manage and adjust work efficiency/speed as needed to meet deadlines
Willingness to consider all sides of an idea, and be open to new ways of thinking
Initiative in learning new technologies

Bonus

Experience with C++, image processing, object detection, tracking, facial coding, eye tracking
Demonstrated experience in creating product ready models
Proven track record of creating and implementing testing protocols and scenarios
Experience in building products or services that require high-performance and scalability, especially RESTful web services using AWS or similar solutions
Demonstrated ability to take a ML project from an idea to experimentation to prototype to implementation for industrial or academic research projects
Work or research experience with implementation of computer vision/image analysis algorithms
Above-average capabilities with cloud computing techniques or tools such as S3, EC2, EMR, SageMaker, ECS, Lambda, IAM