• US Citizen

• Green Card

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 14th Nov 2023

​​​
Responsibilities:
• Maintain and improve data pipeline, Machine Learning infrastructure and existing analytical models
• Assess the impact of using new data sources on data quality and comprehensiveness of graph
• Use statistical modeling packages and time series forecasting
• Support the development and deployment of analytics (including predictive models, machine learning techniques, and analytical reporting) for projects
• Construct, configure, and modify both the components and the code which form the execution environment for the AI/ML models.
• Research, engineer and build network automation solutions to drive efficiency of next generation networks.
• Be detail oriented, think critically to solve issues in real-time.

MUST HAVE SKILLS (Most Important):
- Experience in system development. The data engineer must have 5 to 10 years developing and supporting software in R (bigger focus) and Python (smaller focus).
- Experience in AWS DevOps and data pipelines. The data engineer must have at least 4 years of experience in the following technologies: AWS Platform in general, Docker, Airflow, Jupyter notebook deployment.
- Experience in instrumenting and monitoring data pipeline workloads, with a focus in improving automation and performance.
- Technical writing skills to develop and maintain documentation for the tooling and data
pipeline.
- Interest in the Cybersecurity field, the different kinds of datasets it can produce and their challenges.