Machine Learning Engineer

Job Description:

Responsibilities:
 Design, develop, and implement machine learning models and algorithms to solve complex
business problems.
 Build and maintain scalable and reliable ML pipelines for data ingestion, preprocessing,
feature engineering, model training, evaluation, and deployment.
 Deploy and monitor ML models in production environments, ensuring performance,
reliability, and scalability.
 Collaborate closely with data scientists, engineers, and product managers to understand
requirements and translate them into technical solutions.
 Leverage the Azure ecosystem for building and deploying ML solutions.
 Utilize Snowflake for efficient data storage, retrieval, and processing in the context of ML
pipelines.
 Troubleshoot and resolve issues related to ML pipelines and deployed models.
 Stay up-to-date with the latest advancements in machine learning, cloud technologies, and
data engineering.
 Contribute to the development of best practices and standards for ML development and
deployment.
Must-Have Skills:
1. Strong knowledge and hands-on experience in building and deploying end-to-end machine
learning pipelines.
2. Proficiency in the Azure cloud platform and its ML-related services.
3. Solid understanding and practical experience with Snowflake data warehousing.