AI/ML Platform Engineer:
Job Description
AI/ML Platform Engineer:
Title: AI/ML Platform Engineer (Google Cloud Platform Focus) with Azure, AWS skills
Location : Dallas, TX or Palo Alto, CA
Duration: 6+ Months
We are seeking a talented AI/ML Platform Engineer with a strong emphasis on Google Cloud Platform (Google Cloud Platform) 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 Google Cloud Platform. 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 Responsibilitie
s:Build robust AI/ML platforms on Google Cloud Platform, ensuring scalability, reliability, and performanc
e.Set up and maintain Google Cloud Platform services such as AI Platform, BigQuery, Cloud Storage, Compute Engine, and Kubernetes Engin
e.Develop automated workflows and pipelines for model training, validation, deployment, and monitorin
g.Work closely with data scientists, ML engineers, and other stakeholders to understand their needs and provide optimal solution
s.Continuously optimize the AI/ML infrastructure for cost, performance, and securit
y.Implement monitoring solutions to ensure the health and performance of AI/ML systems and troubleshoot any issues that aris
e.Maintain comprehensive documentation of the architecture, workflows, and best practice
s.
Preferred Qualificatio
ns:Proven experience as an AI/ML engineer with a focus on platform engineering and Google Cloud Platfo
rm.Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-lea
rn.Experience in Terraform and Helm will be an advanta
ge.Experience in implementing inferencing, benchmarking and fine-tuning of Generative AI models using Google Cloud Platform servic
es.Strong understanding of LLMs and proven experience building platforms and applications that leverage th
em.Experience with CI/CD pipelines, containerization (Docker), and orchestration (Kubernete
s).Strong understanding of data storage, processing, and ETL workflo
ws.Knowledge in chunking strategies for vector datab
aseKnowledge on classification & Embedding mode
ls.Familiarity with Agile methodologies and project management too
ls.
Desired Qualificati
ons:Excellent problem-solving skills and the ability to work in a fast-paced environm
ent.Strong communication and collaboration skills to work effectively with cross-functional te
ams.2+ years of designing, developing, testing, optimizing python microservices using
gRPC2+ years of Python development experi
ence3+ years of Linux experi
ence
