Sr. Machine Learning Engineer

hace 6 meses


Buenos Aires, Argentina Devlane A tiempo completo

Hello there We are Devlane, a software development company with presence across all of LATAM, that’s currently offering staff augmentation services to clients around the world, with a special focus in North America.

With us, you’ll have a real opportunity to shine and leave a footprint on the project you are assigned to since most of our clients are modern small/medium businesses with growing success that are looking to add core members to their team. This also means that you will stay up to date with the latest technology trends.

Our values are simple: we create a collaborative environment and we strive for long relationships in which you can develop your skills as a software engineer and learn from your teammates. Join a company that’s always adding new talent to its ranks every day

In this opportunity, we are seeking a **Machine Learning Engineer **for a remote full-time position for one of our clients in the United States.

**Here, you will be able to**:

- Be part of a company that is in constant growth.
- Reinforce your skills on Scala
- Propose ideas to improve the process.

**What do we require from you?**
- Minimum of 5years of experience working in Machine Learning or Deep Learning
- At least 5 years of experience with Python
- Experience working with ML frameworks (PyTorch or XGBoost)
- Experience working with end-to-end ML model development, deployment, and monitoring
- Experience working with MLOps practices (CI, CD, testing)
- Experience working with AWS

**Some of our Perks**
- Competitive salary in USD.
- 100% Remote Position.
- 25 paid days per year for you to relax.
- 8 Working hours per day, with flexible working hours.
- Welcome kit from the brand.
- High-end hardware: Laptop, mouse & headphones

Are you ready to take the next step in your career?

**Job Types**: Contract, Permanent

**Experience**:

- Machine Learning: 5 years (required)
- Python: 5 years (required)
- ML frameworks (PyTorch or XGBoost): 2 years (preferred)

**Language**:

- English (required)



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