Ionicpartners is hiring a Web3 Senior Machine Learning Engineer, Gigster Network
Compensation: $81k - $100k estimated
Location: United States
Senior Machine Learning Engineer, Gigster Network
United States /
Gigster Network – Engineering /
Contractor
/ Remote
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Do you want to work on cutting-edge projects with the world’s best developers? Do you wish you could control which projects to work on and choose your own pay rate? Are you interested in the future of work and how the cloud will form teams? If so - the Gigster Talent Network is for you.
At Gigster, whether working with entrepreneurs to realize 'the next great vision' or with Fortune 500 companies to deliver a big product launch, we build really cool solutions that make a difference! From blockchain to AI/ML to VR and more, Gigster builds enterprise software on cutting-edge technology.
Suppose the following belief drives your work and you are passionate about Machine Learning and Data and have an extensive experience in Python. In that case, you'll get to shape the future by creating data models for various companies, some similar to SpaceX, Anduril, HackerOne, and Cloud9.
But you have to share our stand in not doing analysis just for the sake of analysis or in reporting on everything under the sun because you can. You have to be passionate about building data science applications that are actually useful. Applications that use your client's data to help them improve user acquisition. To reduce churn. To improve underwriting. In other words: to believe in data that should be directly tied to your client's business value.
If you want to be part of a world-class network with access to cool projects, this is the place for you!
Responsibilities
- Programming the Machine Learning model
- Find out new insights using the data
- Testing extensively.
Requirements
- At least 2 years of experience with ML
- Strong skills in Python
Nice to have
- Big Data processing (Spark, Dask)
- Quantitative finance
- Time-series modeling
- Leveraging NLP to extract features from text data
- Deep Learning frameworks (Tensorflow or Pytorch)
Benefits
- World-class network. Be part of a network with the most talented people in the world.
- Amazing cutting-edge projects. Pick the projects from F500 companies that you’re interested in.
- 100% remote and global. Live your best life, wherever that may be, and never lose out on career opportunities because of it.
- Flexible work hours. There is a time to overlap with the customer’s timezone, but most of the time we work asynchronously and don’t care when you’re online, just that you deliver great results.
- Flexible offerings. Choose how many hours you want to work and how much you want to earn.
- Swag! Because who doesn’t love swag?
The Gigster Talent Network is a highly curated set of the best software developers in the world. It’s not easy to become part of this select network - but when you do - you will work amongst the best from Silicon Valley and around the world.
Our model is unique in the software development industry. We do the hard work of finding the US clients and scoping their projects - and you get to choose from a large variety of ‘Gigs’. You can choose Gigs that fit your schedule - from 10, 20, or 40 hours a week. You also get to choose your pay rate. All projects are staffed with a project manager, full stack team, QA, and DevOps.
All of our projects are for top-tier US companies and are delivered with the highest quality. Projects range from developing NFT marketplaces to VR imaging for medical use to large AI/ML projects. We even produce a case study for every project delivered - so you can take that with you as part of your portfolio.
In parallel - you will have access to an exclusive and energized network of the world’s most skilled experts. Community members collaborate inside and outside of Gigs - as well as at local community events, online hackathons, competitions, etc. The Gigster Talent Network is more than a simple marketplace - it’s truly an exclusive club.
Are you talented enough to be in the club?
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Compensation: $81k - $100k estimated
Location: United States
This job is closed
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