What are the responsibilities and job description for the AI/ML Engineer (Concord) position at ExecutivePlacements.com?
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
Mindlance is an Equal Opportunity Employer and does not discriminate in employment based on Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
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.
- 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.
Mindlance is an Equal Opportunity Employer and does not discriminate in employment based on Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.