AI & Machine Learning Engineer

eTeam2 months ago
San Jose, CA, United States
On-site
Contract
Junior Level (1-3 years)

Job Description

Position Overview

Cisco is seeking an experienced AI & Machine Learning Engineer for a Contract-to-Hire role. Location: San Jose, California (Onsite). In this role, you will design, build, and deploy end-to-end machine learning pipelines, working closely with data, engineering, and business teams to solve complex problems using advanced AI and data science techniques. The opportunity is a 3-month Contract-to-Hire engagement with immediate availability preference and a mandatory background check and meet-and-greet process.

Key Responsibilities

  • Design and develop end-to-end machine learning pipelines
  • Build, train, deploy, and monitor ML models in production
  • Work with large datasets using Python and SQL
  • Orchestrate workflows using Apache Airflow
  • Develop and manage ML workloads using Databricks
  • Containerize applications using Docker
  • Monitor system performance using Prometheus and Grafana
  • Deliver innovative AI/ML solutions to complex business challenges

Required Qualifications

  • 5+ years of experience as a Machine Learning Engineer / Data Scientist
  • Strong expertise in Machine Learning and Data Science
  • Hands-on experience with end-to-end ML pipelines
  • Proficiency in Python and SQL
  • Experience with Apache Airflow and Databricks
  • Strong knowledge of Docker
  • Hands-on experience with AWS (EC2, S3, Redshift)
  • Experience with monitoring tools such as Prometheus and Grafana

Preferred Qualifications

  • Experience working in large enterprise environments
  • Strong problem-solving and communication skills
  • Experience delivering ML solutions in production systems
  • Deploy ML solutions on AWS cloud services (EC2, S3, Redshift)

Benefits & Perks

  • 3-Month Contract-to-Hire opportunity
  • Onsite role in San Jose, CA
  • Immediate availability preferred
  • Mandatory background check and meet-and-greet process

Required Skills

ML Model Deployment and Monitoring
Docker
AWS (EC2, S3, Redshift)
Prometheus
End-to-end ML Pipeline Design
Grafana
Apache Airflow
Databricks
Python
SQL