Job Details
Hi, Please take a look at the complete job description, if you are available and interested, please give me a call asap at or emai me at
Rate: Be Competitive
*** Sr. Data Platform Engineer (REMOTE) needed --- Candidate should be located within EST / CST Time Zones ONLY --- 6 Months Contract ***
Urgent Job Opening --- Sr. Data Platform Engineer (REMOTE) needed --- Data Platform Engineering, Master's degree, Data Platform, AZURE Infrastructure, importantly Databricks, ADLS, PostgresDB, Event Hubs, AKS, Databricks Admin, Databricks Certified, latest releases (Unity Catalog), Python. Python + SQL, MLOps, CI/CD GitHub, GitHub Actions, No. of Models / Pipelines, Large Language Model (LLM) Agents (for 3 use cases, IGS, HBT, PMT), Pipeline to create / improve evaluation framework for LLMs, Test Model Performance / Accuracy, Perform prompt engineering, Create the pipelines as reusable components, Create a pipeline to fine-tune an open-source model --- REMOTE --- Candidate should be located within EST / CST Time Zones ONLY --- 6 Months Contract ***
---------------------------------------------------------------------------
REQUIRD SKILLS / JOB DESCRIPTION:
---------------------------------------------------------------------------
- Qualified candidates will have 6+ years of Data Platform Engineer experience and a college degree.
Master's degree + 6 + years of experience. - 6+ years of hands-on skills as a Data Platform Engineer.
- AZURE Infrastructure experience importantly Databricks, ADLS, PostgresDB, event hubs, and AKS
- Databricks Admin Certified candidates preferred ideally in the latest releases that include the Unity Catalog.
- Able to code in Python. Python + SQL.
- High-level understanding of MLOps.
- CI/CD GitHub, GitHub actions etc.
- Excellent communication skills both verbal and written are required.
- No. of models/pipelines - Large Language Model (LLM) Agents (for 3 use cases, IGS, HBT, PMT) with a set of tools developed for the individual use cases.
- Pipeline to create and improve the evaluation framework for the Large Language Model (LLMs) to test model performance and accuracy.
- Perform prompt engineering for the existing toolset to fit the use case and evaluate using the above framework.
- Create the pipelines as reusable components for additional use cases. the pipeline includes the tools, agents, base prompts, evaluation framework, etc
- Create a pipeline to fine-tune an open-source model based on the feedback received from the beta releases of the app.
Regards,
Suresh,
Recruiting Manager,
Linga Tech Inc,
Ph: ,
Email: ,
Webste: