Full-Stack Developer

• Developing front-end website architecture.
• Designing user interactions on web pages.
• Developing back-end website applications.
• Creating servers and databases for functionality.
• Ensuring cross-platform optimization for mobile phones.
• Ensuring responsiveness of applications.
• Working alongside graphic designers for web design features.
• Seeing through a project from conception to finished product.
• Designing and developing APIs.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.

Machine Learning Responsibilities

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
• Managing available resources such as hardware, data, and personnel so that deadlines are met
• Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
• 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
• Verifying data quality, and/or ensuring it via data cleaning
• Supervising the data acquisition process if more data is needed
• Finding available datasets online that could be used for training
• Defining validation strategies
• Defining the preprocessing or feature engineering to be done on a given dataset
• Defining data augmentation pipelines
• Training models and tuning their hyperparameters
• Analyzing the errors of the model and designing strategies to overcome them
• Deploying models to production

• Strong organizational and project management skills.
• 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
• Proficiency with server-side languages such as Python, Ruby, Java, PHP, and C# .Net.
• Familiarity with database technology such as MS-SQL, MySQL, Oracle, and MongoDB.
• Familiarity with mobile programming such as Objective-C, XML-Framework, Cordova, Xamarin
• Familiarity with Infrastructure components such as Docker, Kubernetes, GitLab CI, AWS, Google Cloud, Azure
• Familiarity with monitoring and alerting such as Sentry, Grafana Stack, ELK Stack
• Excellent verbal communication skills.
• Good problem-solving skills.
• Attention to detail.
• Familiarity with a deep learning framework such as TensorFlow or Keras
• Proficiency with Python and basic libraries for machine learning such as sci-kit-learn and pandas
• Expertise in visualizing and manipulating big datasets
• Familiarity with OpenCV
• Ability to select hardware to run an ML model with the required latency