Remote Machine Learning Operations Engineer at Intellectsoft

Description:

Intellectsoft is seeking a Machine Learning Operations Engineer to work on a project for a leading consulting firm in the healthcare sector.
The project involves a code/low code platform that generates autonomous agents for various productivity enhancements within enterprises, such as Q&A engines, data analysis, and writing techniques.
Responsibilities include deploying and managing ML models, creating feature engineering processes, and deploying models on cloud platforms like AWS, Azure, or GCP.
The role requires proficiency in Python, experience with ML Ops, distributed computing frameworks like Spark, and knowledge of ML platforms like Airflow or similar tools.
The ideal candidate should have a degree in Computer Science or a related field, at least 3 years of experience in ML model deployment, and expertise in DevOps concepts and cloud platform architecture.

Degree in Computer Science, Engineering, Mathematics, or a relevant field.
Minimum 3 years of experience in deploying and managing ML models.
Proficiency in ML Ops, feature engineering, and inference pipelines.
Strong programming skills in Python.
Experience with Spark, ML platforms like Airflow, and deploying models on cloud platforms.
Knowledge of DevOps concepts, CI/CD pipelines, and data security measures.
Hands-on experience in data engineering within Big Data ecosystems.
Familiarity with machine learning and deep learning principles.
Ability to collaborate effectively with diverse teams.
Excellent English language skills.
Nice to have: Knowledge and experience in API development.

36 paid absence days per year for work-life balance, with an additional day for each subsequent year of cooperation.
Up to 10 unused absence days can be added to income after 12 months of cooperation.
Health insurance compensation.
Depreciation coverage for personal laptop usage for project needs.
Udemy courses of your choice.
Regular soft-skills training.
Excellence Centers meetups.