Deep Learning Engineer

Produvia


1 month ago

07/20/2019 10:21:23

Job type: Contract

Category: Software Dev


Produvia is an on-demand Artificial Intelligence as-a-Service (AIaaS) platform for hiring AI, machine learning, deep learning and data science teams. Since 2013, we partnered with companies from all industries to accelerate the adoption of artificial intelligence technologies.

Company Perks

Produvia is 100% remote-first company consisting of developers, engineers, and data scientists spread around the world. Our team members work when they want, how they want and where they want.

Job Description

We are looking for an expert in deep learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training neural networks and deploying them to production. You will work on client projects, internal projects or research projects involving the use of machine learning technologies.

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 DL 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

Skills

  • Proficiency 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 

  • Proficiency with OpenCV 

  • Familiarity with Linux 

  • Ability to select hardware to run an DL model with the required latency

Interview Process

1. We send you a skills assessment form which consists of submitting an online survey of your past experiences. 

2. We send you a coding assignment which consists of contributing a machine learning model to our open-source project. 

3. We give you feedback on your code. 

4. We interview you by phone. 

5. If you qualify based on your skills and coding test, we match you with existing client work. If there are no projects that match your profile, we put your name on a waitlist for future AI projects.

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