Senior MLOps Engineer Machine Learning Operations Engineer

Who we are:

Artmac Soft is a technology consulting and serviceoriented IT company dedicated to providing innovative technology solutions and services to the Customers.

Job Description:

Job Title : Senior MLOps Engineer (Machine Learning Operations Engineer)

Job Type : C2C / W2 / 1099

Experience : 5 to 15 years

Location : Austin Texas

We are seeking a skilled and motivated MLOps Engineer to join our dynamic team. The ideal candidate will be responsible for developing implementing and maintaining machine learning pipelines and infrastructure ensuring the efficient and reliable deployment of ML models into production environments. You will collaborate closely with data scientists software engineers and IT professionals to optimize and automate the machine learning lifecycle.

Responsibilities:

• Design implement and manage scalable ML model deployment pipelines.
• Automate the deployment process using CI/CD tools.
• Monitor troubleshoot and maintain deployed models in production.
• Develop and maintain infrastructure for data ingestion processing and storage. Optimize compute resources for cost and performance efficiency.
• Ensure high availability and scalability of ML infrastructure.
• Provide support for model retraining and updates.
• Implement monitoring and logging solutions for model performance and data quality.
• Optimize the performance of large language models (LLMs) in production environments.
• Implement techniques for efficient inference and finetuning of LLMs.
• Monitor and improve the scalability and latency of LLM deployments.