Sr. Data Engineer - Python TensorFlow GenAI
Duration: 6 months
Location: Charlotte NC Hybrid
Interview: First round is virtual with a coding assessment second round is Onsite technical
Disqualifiers/ Dislikes on Resumes::
No Coding skills
If they are ETL Developers
Notes from the Hiring Manager:
The focus for this role is very heavy Machine Learning and AI focused. Candidates MUST have hands on Software Developer experience on Python and AI/ML platforms (not just Proof of Concept work). Please review the Responsibilities below and make sure your candidates have similar experience.
Below are the MUST have Non-Negotiable Required Skills:
- Natural Language Processing (NLP)
- Large Language Model (LLM)
- Machine Learning
- GenAI
- Python
- PyTorch
- TensorFlow
Additional Skills:
Day to Day Responsibilities
- Attending Scrum calls to provide daily status updates
- Pickup assigned JIRA stories and work with Analysts or Product Owners to understand
- Responsible for the development maintenance and enhancements of Data Engineering solutions of varying complexity levels across different data sources like DBMS File systems (structured and unstructured) on-prem and cloud infrastructure; creates level metrics and other complex metrics.
- Demonstrates Data Engineering skills (Spark Data Frame Big Queries) by writing pipelines for business requirements.
- Responsible for building testing and enhancement of Data Pipelines solutions from a wide variety of sources like Kafka streaming Google Big Query and File systems; develops solutions with optimized data performance and data security
- Taking ownership to test the feature End to End
Sr. Data Engineer - Python TensorFlow GenAI Duration: 6 months Location: Charlotte NC Hybrid Interview: First round is virtual with a coding assessment second round is Onsite technical Disqualifiers/ Dislikes on Resumes:: No Coding skills If they are ETL Developers Notes from the...
Sr. Data Engineer - Python TensorFlow GenAI
Duration: 6 months
Location: Charlotte NC Hybrid
Interview: First round is virtual with a coding assessment second round is Onsite technical
Disqualifiers/ Dislikes on Resumes::
No Coding skills
If they are ETL Developers
Notes from the Hiring Manager:
The focus for this role is very heavy Machine Learning and AI focused. Candidates MUST have hands on Software Developer experience on Python and AI/ML platforms (not just Proof of Concept work). Please review the Responsibilities below and make sure your candidates have similar experience.
Below are the MUST have Non-Negotiable Required Skills:
- Natural Language Processing (NLP)
- Large Language Model (LLM)
- Machine Learning
- GenAI
- Python
- PyTorch
- TensorFlow
Additional Skills:
Day to Day Responsibilities
- Attending Scrum calls to provide daily status updates
- Pickup assigned JIRA stories and work with Analysts or Product Owners to understand
- Responsible for the development maintenance and enhancements of Data Engineering solutions of varying complexity levels across different data sources like DBMS File systems (structured and unstructured) on-prem and cloud infrastructure; creates level metrics and other complex metrics.
- Demonstrates Data Engineering skills (Spark Data Frame Big Queries) by writing pipelines for business requirements.
- Responsible for building testing and enhancement of Data Pipelines solutions from a wide variety of sources like Kafka streaming Google Big Query and File systems; develops solutions with optimized data performance and data security
- Taking ownership to test the feature End to End
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