Remote Machine Learning Operations Engineer

Description:

• Intellectsoft is seeking a Machine Learning Operations Engineer to join their team.
• The client is a prominent consulting firm in the global healthcare sector, involved in research, development, commercialization, supply chain management, and manufacturing.
• The project involves a code/low code platform for business clients, focusing on generating autonomous agents for productivity enhancements like Q&A engines and data analysis.
• The platform aids in content creation, defining target audience needs, and providing a search system for easy information retrieval.

Requirements:

• A degree in Computer Science, Engineering, Mathematics, or a related field is required.
• Minimum 3 years of experience in deploying and managing ML models.
• Proficiency in ML Ops for assessing and monitoring model performance and scalability.
• Ability to create feature engineering processes and inference pipelines.
• Strong programming skills in Python.
• Experience with distributed computing frameworks like Spark (PySpark).
• Familiarity with ML platforms such as Airflow, SageMaker, Kubeflow, or MLFlow.
• Proficiency in deploying models on cloud platforms like AWS, Azure, or GCP, with Kubernetes experience being advantageous.
• Knowledge of DevOps concepts, CI/CD pipelines, data security measures, and cloud platform architecture.
• Hands-on experience in data engineering within Big Data ecosystems.
• Understanding of machine learning and deep learning principles.
• Familiarity with common data structures, algorithms, and effective collaboration with diverse teams.
• Excellent English language skills.

Nice to have:

• Knowledge and experience in API development.

Benefits:

• 36 paid absence days per year for a healthy work-life balance, with an additional day for each subsequent year of collaboration.
• Up to 10 unused absence days can be converted to income after 12 months of cooperation.
• Health insurance compensation provided.
• Depreciation coverage for personal laptop usage for project requirements.
• Access to Udemy courses of choice.
• Regular soft-skills training and participation in Excellence Centers meetups.