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MLOps Engineer (m/f)

- dana do isteka
Poslodavac:
Kategorija:
Mjesto rada:
Rad od kuće
Rok prijave:
20.06.2020.

O poslu

Opis radnog mjesta:
AI healthcare startup with 132 million monthly unique visitors seeking a MLOps Engineer.

Get involved with our Silicon Valley-based, stealth-mode AI healthcare startup by joining their remote team as a MLOps Engineer.

Apply if you’re fiercely independent and self-motivated people who can thrive in the comfort of their own work-space, on their own hours.

Their company culture is intense, but professionally and personally rewarding. You’ll own tasks, be expected to contribute ideas at a high level, and execute. And the remote setting allows you to spend less time in meetings and more time doing the things you love.

You will:
1. Create ML pipeline - ETL, continuous integration and deployment (CI/CD)
2. Define the model management system, technologies, and processes to manage model development, training, and deployment including hyper-parameter configuration and optimization
3. Create scalable systems for efficient monitoring, tracing, profiling, and debugging
4.Diagnose and support complex systems
Posebne pogodnosti:
Reasons why this AI startup might be your dream workplace:
1. A competitive salary and annual merit increase reviews — great work is rewarded
2. A culture that communicates over the phone and asynchronously
3. Flexible working time and vacations
4. Distributed and strategic work
5. A chance to join collaborative teams
6. Room for personal and professional growth and development
7. Opportunity to learn many new technologies and information working with bright individuals
Vrsta posla:
stalni radni odnos, rad na određeno vrijeme, honorarni posao
Županija:
Sve županije

O zaposleniku

Znanja i kvalifikacije:
Requirements:
1. 5+ years of industry experience
2. 2+ years of experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins)
3. Experience with designing, building, and deploying MLOps pipelines
4. Proficient knowledge of git (DVC), Docker and containers, Kubernetes, Airflow
5. Proficiency in distributed storage and processing of big data with Hadoop and Spark
6. Experience with Hive
7. Experience with database management systems and tools including but not limited to Cassandra, MongoDB, SQL
8. Strong programming skills in Python, C or C++
9. Experience with deep learning frameworks (such as TensorFlow and PyTorch)

Nice to haves:
1. Passion for building automation to reduce manual tasks
2. Solid understanding of math, networking, storage, and sysadmin best practices

Strani jezik:
engleski
Potrebno radno iskustvo:
dvije godine