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
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