Tech Stack
AWSAzureCloudDockerGoogle Cloud PlatformJavaPython
About the role
- Play a critical role in bridging data science and software engineering
- Work closely with data scientists and software engineers
- Deliver robust, scalable AI solutions
- Ensure seamless integration of AI models into production systems
Requirements
- Extensive experience in software development
- Proficiency in Python, Java, or C++
- Experience in deploying AI/ML models to production
- Familiarity with MLOps practices
- Comprehensive experience with cloud platforms (AWS, Azure, or GCP)
- Proficiency in using containerization technologies (e.g., Docker)
- Strong skills in data engineering
- Exposure to agile software development practices
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonJavaC++AI/ML model deploymentMLOpscloud platformsAWSAzureGCPDocker
Soft skills
collaborationcommunicationproblem-solvingadaptabilitycritical thinking