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ML Engineer

Fully Remote
Internship
Performance-based (after 4 months)
0-1 years

Who we are

About Toshma Labs

Toshma Labs is a technology company focused on innovation and building cutting-edge solutions. We're dedicated to creating products that make a difference and empowering our team members to grow and excel in their careers.

About the team

Our internship program provides an opportunity to work on meaningful projects that will impact our products and users. Through the internship, you will work with modern technologies, gain real-world experience, and have opportunities to present your work to the team. Each intern has dedicated mentorship, and every project is part of our roadmap.

What you'll do

Work on cutting-edge machine learning projects as an intern, developing and deploying ML models that drive business value. You'll collaborate with data scientists and engineers to build intelligent systems. The first 4 months will be unpaid, after which compensation will be provided based on your performance and contribution to the team. Please note that you will need to provide your own system (laptop/computer) for this position.

Responsibilities

  • Develop and train machine learning models using Python
  • Preprocess and analyze data for ML model training
  • Implement ML pipelines using TensorFlow or PyTorch
  • Deploy ML models to production environments
  • Collaborate with data scientists and engineers on ML projects
  • Monitor and optimize model performance
  • Document ML processes and model architectures

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

  • Basic understanding of machine learning concepts
  • Proficiency in Python programming
  • Familiarity with data science libraries (NumPy, Pandas)
  • Understanding of fundamental ML algorithms
  • Basic knowledge of statistics and linear algebra
  • Strong analytical and problem-solving skills
  • Own system (laptop/computer) for remote work

Preferred qualifications

  • Experience with TensorFlow or PyTorch
  • Knowledge of Scikit-learn for ML workflows
  • Understanding of MLOps practices
  • Familiarity with cloud platforms (AWS preferred)
  • Experience with Docker and Kubernetes
  • Previous ML project experience or coursework
  • Portfolio showcasing ML projects or models

Job Details

Department

Engineering

Location

Fully Remote

Type

Internship

Experience

0-1 years

Compensation

Performance-based (after 4 months)

Required Skills

PythonTensorFlowPyTorchScikit-learnMLOpsAWSDockerKubernetes
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