Senior MLOps Engineer – AI/ML Deployment & LLM Focus

Blazop; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Blazop is seeking a Senior AI/ML Engineer focused on MLOps to drive end-to-end machine learning production workflows in the United States. You will work on deploying models, maintaining data pipelines and ensuring scalable, trustworthy AI systems.

Ideal candidates have 6–10 years in AI/ML, strong Python/DL skills with PyTorch, and hands-on experience with MLOps tooling across cloud platforms. This role emphasizes collaboration, code quality, and continuous learning.

Qualifications

• Bachelor's or Master's degree in data science or related field preferred.
• Experience with Python for ML; data processing with NumPy/Pandas is expected.
• Strong knowledge of NLP and LLM concepts.

Responsibilities

• Lead MLOps implementation using Docker, Kubernetes, Azure DevOps and AWS SageMaker.
• Develop scalable Python-based ML code with NumPy and Pandas.
• Collaborate with cross-functional teams using Git for version control.
• Coordinate CI/CD with Jenkins or GitLab.
• Implement observability tooling using Prometheus, Grafana, Azure Monitor and AWS CloudWatch.
• Utilize TensorBoard for model evaluation and monitoring.
• Document code, models and deployment steps in Confluence/Markdown.
• Provide training on MLOps and Python best practices.

Skills

Python

Jupyter Notebooks

PyTorch

LLM knowledge

GenAI

Education

Bachelor's/Master's in Data Science

Job description

Blazop is seeking a Senior AI/ML Engineer focused on MLOps to drive end-to-end machine learning production workflows in the United States. You will work on deploying models, maintaining data pipelines and ensuring scalable, trustworthy AI systems.

Ideal candidates have 6–10 years in AI/ML, strong Python/DL skills with PyTorch, and hands-on experience with MLOps tooling across cloud platforms. This role emphasizes collaboration, code quality, and continuous learning.