Salary
💰 $75,400 - $107,700 per year
Tech Stack
AWSCloudJavaJavaScriptLinuxNode.jsPandasPythonReactSQLUnix
About the role
- Design, train, and deploy machine learning models for predictive analytics, generative AI, and NLP
- Conduct data analysis and visualization using SQL, Pandas, and dashboards to uncover insights
- Apply advanced AI/ML techniques to optimize workflows, enhance decision-making, and automate insights
- Build and integrate agentic AI systems for telemetry, monitoring, and workflow automation
- Develop scalable APIs and data pipelines to support enterprise AI systems
- Enhance MLOps practices (CI/CD, testing, monitoring) for reliable deployment
- Utilize AWS services (Lambda, Pinpoint, etc.) for enterprise-scale AI applications
- Optimize backend queries, APIs, and workflows for system performance and stability
- Collaborate on debugging, design, and production issue resolution
- Translate business requirements into AI/ML solutions and actionable insights
- Partner with cross-functional teams to deliver end-to-end AI solutions
- Stay current with generative AI frameworks, cloud automation tools, and industry trends
Requirements
- Bachelor’s in Computer and Information Science
- 3+ years of combined experience (internships, academic projects, and professional roles) in AI, data science, cloud engineering, and backend development
- Proficient in Python, Java, C++, SQL, JavaScript, React, Node.js, Git, Linux/Unix
- Strong in AWS services, REST APIs, and MLOps practices
- Expertise in data analysis, dashboards, and backend optimization