Job Description:
Responsible for developing and designing front-end web architecture, ensuring the responsiveness of applications, and working alongside graphic designers for web design features, among other duties.
The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field and see out a project from conception to final product, requiring good organizational skills and attention to detail
We are looking for a highly skilled programmer with proficiency in machine learning who is comfortable with both front and back-end programming and able to help extract value from our data. You will work in a dynamic and exciting environment with autonomy to deliver an end-to-end process from data collection, cleaning, and preprocessing, to training models and deploying them to production.
Job Responsibilities:
Developing front-end website architecture.
Seeing through a project from conception to finished product.
Designing user interactions on web pages.
Working alongside graphic designers for web design features.
Staying abreast of developments in web applications and programming languages.
Ensuring cross-platform optimization for mobile phones.
Meeting both technical and consumer needs.
Creating servers and databases for functionality.
Ensuring responsiveness of applications.
Developing back-end website applications.
Designing and developing APIs.
Machine Learning Responsibilities
Defining data augmentation pipelines
Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
Defining validation strategies
Verifying data quality, and/or ensuring it via data cleaning
Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
Finding available datasets online that could be used for training
Training models and tuning their hyperparameters
Managing available resources such as hardware, data, and personnel so that deadlines are met
Deploying models to production
Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
Supervising the data acquisition process if more data is needed
Defining the preprocessing or feature engineering to be done on a given dataset
Analyzing the errors of the model and designing strategies to overcome them
Job Requirements:
Proficiency with Python and basic libraries for machine learning such as sci-kit-learn and pandas
Attention to detail.
Familiarity with a deep learning framework such as TensorFlow or Keras
Strong organizational and project management skills.
Ability to select hardware to run an ML model with the required latency
Familiarity with OpenCV
Proficiency with server-side languages such as Python, Ruby, Java, PHP, and C .Net.
Familiarity with mobile programming such as Objective-C, XML-Framework, Cordova, Xamarin
Proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript.
Familiarity with JavaScript frameworks such as AngularJS, ReactJS, NodeJS, Redux, Saga, Amber, and Nest framework
Familiarity with monitoring and alerting such as Sentry, Grafana Stack, ELK Stack
Familiarity with database technology such as MS-SQL, MySQL, Oracle, and MongoDB.
Familiarity with Infrastructure components such as Docker, Kubernetes, GitLab CI, AWS, Google Cloud, Azure
Good problem-solving skills.
Expertise in visualizing and manipulating big datasets
Excellent verbal communication skills.
