AI Engineer Python

Must have - Proficiency Python Programming, Strong knowledge of Linux operating systems

Extensive knowledge of AI supervised, unsupervised, GenAI LLM and Python libraries to perform data analysis, building advanced machine learning models and data integrations with source systems

Design APIs for performance, real-time applications, scale, ease of use and governance automation.

Training ML models to effectively communicate complex data insights through clear and informative visualizations

Knowledge and experience in Cloud Environments (AWS, Azure, Google Cloud Platform)

Experience in building and deploying end to end data pipelines using cloud and docker services, experience with Kubernetes

Strong knowledge of CI/CD, test automation and DevOps

Ability to integrate data, sourcing data from several Sources including databases, files, API and Server logs.

Drive requirements for AI related projects, work with internal customers and with ServiceNow and Salesforce Product Managers for features planning, prioritization and implementation

Strong quantitative and statistical skills

Apply GenAI, ML and DL concepts, NLP in real world applications to solve business problems

Develop application-specific interfaces that leverage GenAI capabilities and LLMs

Familiarity with common frameworks such as PyTorch, TensorFlow, Keras, NLTK, or spaCy

Familiarity and experience with Databases like Postgres, Redshift, MSSQL

Soft Skills:

Proven ability to deliver timely results in professional work environments.

Strong communication skills.

Facility in building relationships with key work partners.

Self-motivation and accountability for delivering on work commitments.

Ability to create informative collaboration materials for teammates, cross-functional