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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:

- Solid knowledge and hands-on experience in building and deploying end-to-end machine learning pipelines.
- Proficiency in the Azure cloud platform and its ML-related services.
- Solid understanding and practical experience with Snowflake data warehousing.

📌 Machine Learning Engineer (Chennai)
🏢 Acura Solution
📍 Chennai