Tacto

ML / AI Engineer Intern (m/f/d)

Munich, Germany
Next.js Vue.js TypeScript PostgreSQL API Python TensorFlow PyTorch SQL Svelte FastAPI React Azure Rust Nuxt.js Machine Learning Pandas Go
Search for More Jobs Talk to a recruiter now 💪
Description
How you can contribute

As a Machine Learning Engineer intern, you'll play a pivotal role in constructing, refining, and maintaining the infrastructure for training and deploying machine learning models. Your primary focus is to craft scalable, robust, and production-ready ML solutions. Collaborating closely with our software engineers, your journey will be guided by a personal mentor dedicated to your learning and growth. This collaborative effort aims to bring ML models to life in real-world applications, particularly within the dynamic context of industrial procurement and supply chains.


Your responsibilities
  • Infrastructure Development: Assist in building and enhancing infrastructure for modern machine learning applications, focusing on modularity and scalability.
  • Great User Experience: Collaborate with customers and product teams to improve user experience and contribute to result fine-tuning.
  • Workflow Optimization: Support the design and optimization of APIs for streamlined machine learning workflows, integrating best practices.
  • Deployment and Monitoring: Contribute to the deployment of ML models in production and assist in establishing monitoring procedures for stability.
  • Shape the Stack: Stay informed about ML tools and concepts, actively participating in tool selection for tasks.
  • Sharing Best Practices: Engage in knowledge sharing within the team to build a common understanding across the organization.


Let's talk about you

We’re looking for a talented ML engineer intern to help us build the vision of making supply chains digital, efficient, and sustainable for our customers. Now you may wonder what frameworks, tools, and languages you need to master. We believe that problem-solving, creativity, and drive are more important than tools that can be picked up. However, the following references will give a guideline of what experiences we think might be helpful.

  • Demonstrated experience in creating and deploying machine learning applications in real-world scenarios.
  • Strong programming abilities in languages like Python, and some familiarity with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
  • Exposure to setting up a production-ready machine learning stack that is modular and ready to scale.
  • A solid understanding of software engineering best practices.
  • Keeping up-to-date with the latest developments in the ML field, such as LLMs, LMMs, etc.
  • Proficiency in optimizing and troubleshooting production code.
  • Making informed trade-off decisions and understanding how to make sensible choices based on the current phase of the company.
  • Excellent communication and collaboration skills, enabling effective teamwork with cross-functional teams.

Our Tech Stack

  • Backend: Python, FastAPI, SQL Alchemy, Alembic, Pydantic, Pytest, …
  • Frontend: TypeScript, NextJS, Zustand, Material UI, React Hook Form, …
  • DB: PostgreSQL
  • Data: Python, Prefect, Pandas, …
  • Cloud: Azure
  • Other: GitHub, GitHub Actions, Dependabot, Pre-commit, Mozilla SOPS, …
It is not expected to be completely familiar with each and every aspect of our tech stack.
Other technologies that we enjoy discussing and encourage in the team:

  • Backend: Golang, Rust
  • Frontend: Vue / Nuxt, Svelte / Svelte Kit, Tailwind, Bun, tRPC, …
  • Linux: Nix, Arch, Ubuntu, i3, …
  • Other: LLMs, LMMs, NeoVim Configs, …
Tacto
Tacto
Artificial Intelligence (AI) Enterprise Software Industrial Machine Learning Procurement SaaS Software

0 applies

12 views

Similar Jobs

Senior Software Engineer

London, UK Canada

There are more than 50,000 engineering jobs:

Subscribe to membership and unlock all jobs

Engineering Jobs

60,000+ jobs from 4,500+ well-funded companies

Updated Daily

New jobs are added every day as companies post them

Refined Search

Use filters like skill, location, etc to narrow results

Become a member

🥳🥳🥳 389 happy customers and counting...

Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.

To try it out

For active job seekers

For those who are passive looking

Cancel anytime

Frequently Asked Questions

  • We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
  • Salaries for the engineering jobs on our site range from $100K-$200K. On average, senior engineer positions on our EchoJobs are about $160K.
  • The EchoJobs positions have been sourced and vetted from the top companies to work for in the US as a software engineer, including LinkedIn and other reputable job sites. We also have syndicated jobs from companies that have just raised funding, as well as those that have great unique products and culture. From all of these sources, our founder, Morgan, has also resourced the company's authenticity in terms of their website, public appearance, and more.
  • Yes, our users asked us for just this, so now our search filters allow you to search for your top jobs via location, as well as by onsite, remote, or both. Approximately 30% of our jobs are remote, so you’ve got the best options for you!
  • We have not yet implemented this option, but are considering doing so in the future. For the moment, you would need to cancel your subscription, and resubscribe when you wanted to come back.
  • We add new jobs to EchoJobs every day! We scan our sources for the newest jobs, verify them, and post them to EchoJobs within minutes. We add about 2,000-3,000 new jobs for you each day!
  • From starting your job search to getting hired, the entire job search process can take us software engineers anywhere between 3-6 months. However, at EchoJobs, we’re striving to shorten this duration by finding the best, newest jobs for you, so you can do less job searching, and more applying.
  • We’d recommend checking EchoJobs daily, as we add new jobs to the site each day. Additionally, if you got a chance to read our previous email on “what makes EchoJobs different from any other job search tools,” we also recommended that you set a job alert based on your job filters, so if you get emails on those new jobs, you could be checking more than once per day.
  • If you decide to continue with us after the 1-month trial, we definitely recommend this, as we all know it usually takes 3-6 months to find a quality job as a software engineer these days. So to best support you, we just adjusted our membership options at EchoJobs to monthly, 3 months, or 12 months (this option is more for passive job seekers looking a little bit for the future if they want to come back to work or make a job switch potentially. This lets you see what’s out there in case an even better fit job becomes available.)
  • EchoJobs is truly the only job site of its kind. We want to be THE spot for you to find the best job for you, and haven’t encountered any other company doing this. Other job sites are in niches besides software engineering or focus on a small portion of engineering jobs (like a specific coding language). In the words of Morgan, our founder, “I think what makes EchoJobs different is the amount of jobs, frequency that we add new jobs (we add 2,000-3,000 new jobs daily!), and the powerful search engines to find exactly the job you want more easily and efficiently. We can provide you with the most jobs that are vetted by us, we’ll continually find more new jobs for you, and we make it easier for you to apply and get hired.

What Fellow Engineers Say