Full StackML Developer Job Description
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.
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
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.
Full Stack Developer Responsibilities :
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
Full Stack Machine Learning Developer Requirements :
Strong organizational and project management skills.
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 scikit-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