Hi
I hope youre doing well. I had a chance to review your profile and wanted to discuss a full-time hire position with our client a major Systems Integrator.
Please review the JD below and let me know if you would be interested in exploring the opportunity.
Job Title: Data Scientist
Location: Remote
Duration: Fulltime Hire
Job Description
* Research design and implement ML and GenAI solutions for fragmented large-scale and unstructured datasets.
* Develop data pipelines and workflows in Python for ingestion transformation and feature engineering.
* Apply advanced techniques like RAG LLM fine-tuning and embedding optimization for improved performance.
* Work with large databases data warehouses and integrate across multiple sources with ambiguity handling.
* Deploy models using Azure ensuring scalability and governance with MLOps best practices.
* Conduct experimentation and A/B testing to validate hypotheses and optimize outcomes.
* Collaborate with engineering teams for product ionization and monitoring of models.
* Drive continuous improvement through metrics-driven insights and iterative refinements
Thanks & Regards
Sumit Goyal
Sr. Technical Recruiter
Hi I hope youre doing well. I had a chance to review your profile and wanted to discuss a full-time hire position with our client a major Systems Integrator. Please review the JD below and let me know if you would be interested in exploring the opportunity. Job Title: Data Scientist Location: Remo...
Hi
I hope youre doing well. I had a chance to review your profile and wanted to discuss a full-time hire position with our client a major Systems Integrator.
Please review the JD below and let me know if you would be interested in exploring the opportunity.
Job Title: Data Scientist
Location: Remote
Duration: Fulltime Hire
Job Description
* Research design and implement ML and GenAI solutions for fragmented large-scale and unstructured datasets.
* Develop data pipelines and workflows in Python for ingestion transformation and feature engineering.
* Apply advanced techniques like RAG LLM fine-tuning and embedding optimization for improved performance.
* Work with large databases data warehouses and integrate across multiple sources with ambiguity handling.
* Deploy models using Azure ensuring scalability and governance with MLOps best practices.
* Conduct experimentation and A/B testing to validate hypotheses and optimize outcomes.
* Collaborate with engineering teams for product ionization and monitoring of models.
* Drive continuous improvement through metrics-driven insights and iterative refinements
Thanks & Regards
Sumit Goyal
Sr. Technical Recruiter
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