AI/ML Engineer

Title- AI/ML ( Platform Engineering)

Duration- 12 months, contract to hire

Location- Concord CA

Top Skills- AI/Ml, cloud, Kubernates

We are seeking a talented AI/ML Platform Engineer with a strong emphasis on Cloud to join our dynamic team. In this role, you will be responsible for designing, implementing, and maintaining AI/ML infrastructure and solutions that leverage the full power of cloud. Your expertise will be crucial in enabling our data scientists and machine-learning engineers to develop, deploy, and scale AI models efficiently and effectively.

Key Responsibilities:

• 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.

Preferred Qualifications:

• 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.”