Description

We at Link Redglue are driving change in organizations by enabling value creation from the way data in handled. And to do that we’ve put together an amazing team with state-of-the-art technical skills.

Description:

We are seeking a MLOps Engineer with proven experience in data driven projects.

What you’ll do:

• Deploy and manage environments for Data Science, using tools such as Docker, Kubernets, Airflow, Databricks, etc
• Support data scientists and analysts by creating and managing environments for data exploration and visualization. Deploy and manage data science development environments to evolve machine learning models using Python, R, Jupyter Notebooks, PyCharm, RStudio, Spark, and Databricks.
• Provision, configure, scale, and manage high performance computing clusters. Create scripts to automate the provisioning and configuration of the infrastructure for a variety of environments
• Deploy sophisticated CI/CD pipelines to bridge the gap between ML training environments and model deployment environments
• Build and maintain CI/CD pipeline with the following tools (e.g. Jira, GitHub, Docker, Kubernetes, Python
• Build REST APIs to serving ML models
• Host machine learning models as microservices in a scalable environment using containers and container management tools
• Improve model tracking, versioning, monitoring and management
• Create a cyclical lifecycle for the modern ML model
• Standardize the machine learning process to meet regulatory standards and policies
• Design and build systems which improve scalability, usability, and performance
• Work cross-functionally with product managers and engineers to understand, implement, and deploy pipelines.

What you need to succeed:

• Be passionate with what organizations can do with their data, and aware of the potential that lies in data
• Be capable of facing challenging projects delivered for different industries, and that combine several technical areas of expertise
• Have a bachelor’s degree in IT related areas (master is a nice to have) or equivalent work experience
• Experience as DevOps, Data Engineering, MLOps or similar role
• Experience with major cloud computing services – AWS and / or Azure
• Experience with Machine Learning Frameworks, Python, and R
• Experience with scripting languages Python (2-3 years minimum)
• Experience with container-based deployment–Kubernetes, Docker, Jenkins
• Knowledge of big data tools like Apache spark, Apache Kafka, databricks, Airflow, etc
• Knowledge machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• An analytical mind with problem-solving abilities
• Good communication skills
• Want to be involved in a technological environment in constant innovation
• Be curious and a true team player, eager to learn something new every day

What we offer:

• Competitive Salary
• A creative and hard-working team to work with you, with experienced people in several areas
• Space to be heard and help the company’s continuous growth 
• Health Insurance
• Welcome Kit

You can send us your CV to [email protected] with the subject "MLOps Engineer".