AI ML Engineer

What we're looking for

• Build robust AI/ML platforms on cloud, ensuring scalability, reliability, and performance.
• Develop automated workflows and pipelines for model training, validation, deployment, and monitoring.
• Work closely with data scientists, ML engineers, and other stakeholders to understand their needs and provide optimal solutions.
• Continuously optimize the AI/ML infrastructure for cost, performance, and security.
• Implement monitoring solutions to ensure the health and performance of AI/ML systems, and troubleshoot any issues that arise.
• Maintain comprehensive documentation of the architecture, workflows, and best practices.

• Proven experience as an AI/ML engineer with a focus on platform engineering and Azure
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Experience in Terraform and Helm will be an advantage.
• Strong understanding of LLMs and proven experience building platforms and applications that leverage them.
• Experience with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
• Strong understanding of data storage, processing, and ETL workflows.
• Knowledge in chunking strategies for vector database
• Knowledge on classification & Embedding models.
• Familiarity with Agile methodologies and project management tools.

**EEO:

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment based on – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”