MLOps Engineer

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:

• Create ML pipeline - ETL, continuous integration and deployment (CI/CD)
• Define the model management system, technologies, and processes to manage model development, training, and deployment including hyper-parameter configuration and optimization
• Create scalable systems for efficient monitoring, tracing, profiling, and debugging
• Diagnose and support complex systems

Requirements:

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

Nice to haves:

• Passion for building automation to reduce manual tasks
• Solid understanding of math, networking, storage, and sysadmin best practices

Reasons why this AI startup might be your dream workplace:

• A competitive salary and annual merit increase reviews — great work is rewarded
• A culture that communicates over the phone and asynchronously
• Flexible working time and vacations
• Distributed and strategic work
• A chance to join collaborative teams
• Room for personal and professional growth and development
• Opportunity to learn many new technologies and information working with bright individuals