PYTHON AI/ML EXPERT

Recooty
Boston, MA

Overview

Next Sapien has a number of Python AI/ML Subject Matter Expert level positions open that might be interesting to you! We allow Senior Developers to try out this opportunity (half-time for a month) while working their other job to ensure an easy transition. This company is growing fast and they are building a new team to head an initiative that will bring the digital and the biological world of engineering together. There are a diverse number of projects that you may be assigned, ranging from things like Synthetic Biology applications and Code Framework construction to Niche Market E-Commerce and Messaging apps. There are countless chances to learn and grow from exploring new tech to growing your own business. Next Sapien is interested in hiring collaborative self-starters who are ready to tackle interesting problems. They would love to have a chat with you about the projects that are available and how you might fit in!

Interview Structure

Technical chat (30 min)

  • Coding challenge (5-10 min)

Key Skills

To pass the interviews you will need to have extensive experience and enjoy making Python and have built several of your own custom Python and AI/ML Libraries.

FULL-TIME Technical requirements

  • Senior-level (most are $13/hr but we can hire up to $40/hr) Python AI/ML experience

    1. Optimized solution for each part of the coding challenge

    2. Does not require direction

    3. Able to suggest architectural-level changes

    4. Expert communicator

  • Junior level

    1. Misses some part of the coding challenge

    2. Requires repeated direction

    3. Unable to contribute useful suggestions

    4. Communication is hampered and things must be repeated

Useful skills

The ideal candidate will possess extensive experience applying advanced machine learning techniques like neural networks, deep learning, and natural language processing using Python libraries such as PyTorch, TensorFlow, Keras, and scikit-learn. You should have working knowledge of AI concepts like computer vision, chatbots, recommendation engines, time series forecasting, robotics, and optimization algorithms. Excellent skills in data exploration, feature engineering, model evaluation/tuning, and deployment into production are required. Knowledge of parallel computing tools like CUDA and distributed model training is a plus. An advanced degree in computer science, data science, or a related technical field is preferred. Strong math skills in linear algebra, calculus, and statistics are needed to understand papers on the latest AI approaches and effectively implement techniques like CNNs, LSTMs, reinforcement learning, and transfer learning. Communication skills are key to distill complex AI topics into digestible training for junior staff.

Stack

Python with AI/ML, Angular, Material, Node/NestJs, AWS, and Ionic

Employee Perks

  • Learning opportunities from Enterprise level codebases, systems, and developers

  • Get in at the ground level of a company with limitless potential and fun projects

  • High earnings potential, no maximum on your total number of hours per week

  • We have eliminated the painful need to estimate Jira stories within our SDLC

  • 10 days accumulating annual PTO after 3 months with the company

  • Get noticed and rewarded bi-weekly for being a top contributor

  • Overtime (25% rate increase) is available for overachievers

  • 1000% Remote work, forever

  • Work on your own time

Company Policies

  • Able to work over a remote connection like Teamviewer or Chrome Remote Desktop

  • Fluent English comprehension and oration (easy to understand over the phone)

  • Eager to put the needs of the team above your own and take the initiative

  • Must work at least 40 hours a week M-F (missed hours decrease rate)

  • Be ‘On Call’ for technical queries from 9 am - 5 pm CST

  • Must be okay with our time-tracking software

  • Participate in a 1 month's probationary period

  • Good and stable internet connection

  • Meet the team for daily standups

  • Keep a Work Log in Google Docs

  • Biweekly payroll

#J-18808-Ljbffr
Posted 2026-01-15

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