Description
You will build and deploy advanced machine learning solutions to solve business problems.
Responsibilities
- Design APIs for performance, real-time applications, scale, ease of use, and governance automation.
- Train ML models to communicate complex data insights through clear visualizations.
- Drive requirements for AI projects, coordinating with internal customers and Product Managers (ServiceNow, Salesforce).
- Integrate data by sourcing from databases, files, APIs, and server logs.
- Apply GenAI, ML, and DL concepts, including NLP, to real-world applications.
Required Skills
- 5+ years of professional experience.
- Proficiency in Python Programming.
- Extensive knowledge of AI (supervised, unsupervised, GenAI LLM) and relevant Python libraries.
- Experience with Cloud Environments (AWS, Azure, GCP).
- Experience building and deploying end-to-end data pipelines using cloud and Docker services.
- Strong knowledge of CI/CD, test automation, and DevOps practices.
- Familiarity with databases like Postgres, Redshift, MSSQL.
- Ability to develop application-specific interfaces leveraging GenAI capabilities.
- Strong quantitative and statistical skills.