Machine Learning Operations Engineer

April 19

Intellectsoft

WebsiteLinkedInAll Job Openings

Engineering Your Vision

Custom Software Development • Mobile App Development • Enterprise solutions • Team Extension • Dedicated Teams

51 - 200

Description

• Intellectsoft is looking for a Machine Learning Operations Engineer to join their team • The role involves deploying and managing ML models, assessing model performance, creating feature engineering processes, utilizing Python programming skills, working with ML Ops tools, and deploying models on cloud platforms • The ideal candidate will have experience with distributed computing frameworks like Spark, ML platforms like Airflow, and DevOps concepts • The position requires hands-on experience in data engineering and familiarity with machine learning principles • Excellent collaboration and English language skills are essential

Requirements

• A degree in Computer Science, Engineering, Mathematics, or a relevant field. • Minimum 3 years of experience in deploying and managing ML models. • Proficiency with ML Ops for assessing and monitoring model performance and scalability. • Skilled in creating feature engineering processes, inference pipelines. • Strong programming skills in Python. • Experience with distributed computing frameworks like Spark (PySpark). • Experience with ML platforms like or similar to Airflow or any other orchestration workflow framework (SageMaker, Kubeflow, MLFlow) • Proficiency in deploying models on cloud platforms such as AWS, Azure, or GCP. Experience with Kubernetes would be a big plus. • Experience with DevOps concepts, CI/CD pipelines, and data security measures, along with expertise in cloud platform architecture. • Hands-on experience in data engineering within Big Data ecosystems. • Familiarity with machine learning and deep learning principles. • Knowledge of fundamental computer science concepts including common data structures and algorithms. • Ability to collaborate effectively with diverse teams. • Excellent English language skills.

Benefits

• 36 paid absence days per year for the work-life balance of each specialist + 1 additional day for each following year of cooperation with the company • 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 Сenters meetups