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Sr. Data Analyst||new york||onsite at Remote, Remote, USA
Email: [email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2281895&uid=

From:

Diksha Choudhary,

Tek Inspirations

[email protected]

Reply to: [email protected]

Hi,

Hope you are doing well!

Job Description -
Job Title Sr. Data Analyst
Duration 12 + mos.
Location NYC ON Site- Hybrid
Interview Video
Need:- Visa /DL/ 5 page resume Only / Linked in
No , CPT
Local Candidates Only
Attached Technical Analysis must be completed by candidate and accompany submittal
We are limited to the # of submittals to Con Ed. Please be sure you thoroughly interview your candidate prior to submission, and they have ALL the skills outlined in the job description
Sr. Data Analyst

JOB SUMMARY
Databricks ML SME

JOB DESCRIPTION
Applies engineering disciplines to cloud computing and brings a systematic approach to concerns of commercialization, standardization, and governance of cloud computing applications.
Leverages the methods and tools of engineering in conceiving, developing, operating and maintaining cloud computing systems and solutions.
Uses the economics of cloud resources to solve business problems.
we are looking for an experienced Azure Databricks ML Engineer with a strong background in machine learning model deployment.
The ideal candidate will have at least 7 years of experience and be proficient in PySpark, Python, and SQL.
A solid understanding of statistical analysis is a plus.

Key Responsibilities:
Design, develop, and deploy machine learning models using Azure Databricks.
Implement and manage Azure Databricks ML Flow for tracking and managing ML experiments.
Apply ML Ops best practices to ensure robust and scalable model deployment.
Deploy and manage Large Language Models (LLMs) and Generative AI (GenAI) models on Databricks.
Collaborate with data scientists and engineers to integrate ML models into production environments.
Optimize and maintain existing ML models to ensure high performance and scalability.
Utilize PySpark, Python, and SQL for data processing and analysis.
Conduct statistical analysis to support data-driven decision-making.
Troubleshoot and resolve issues related to ML model deployment and performance.
Stay up-to-date with the latest advancements in machine learning and cloud technologies.

Qualifications:
7+ years of experience in ML model deployment using Azure Databricks.
Proficiency in PySpark, Python, and SQL.
Experience with Azure Databricks ML Flow and ML Ops best practices.
Experience with deploying and managing LLMs and GenAI models on Databricks.
Experience with statistical analysis is a plus.
Strong problem-solving skills and attention to detail.
Excellent communication and teamwork abilities.
Bachelor's degree in Computer Science, Data Science, or a related field (Master's preferred).

TECHNICAL SKILLS
Must Have
3+ years of experience with creating stored procedures in SQL
Azure Databricks
azure databricks machine learning certificate
Bayesian Machine Learning
Machine Learning Operations
pandas
PySpark
Quantitative Statistical Analysis

Nice To Have
Achieved Azure Databricks Data Engineer Professional Certification
Azure Databricks Machine Learning Professional Certificate

Technical skills |
versions youve worked on (if applicable) |
Years of experience |
Last Used |
Proficiency level (1-10 highest) |

Data Analysis |

Machine Learning Operations |

Advanced SQL |

Full stack Python |

PySpark |

data visualization |

Statistical modeling and machine learning concepts |

GenAI |

Natueal Language Processing (NLP) |

A/B Testing |

design,train and implement machine learning models |

Cloud-based infrastructure |

Python PySpark programming |

Power BI dashboards |

Azure Databricks Data Engineer Certification |

Spark/Hadoop |

Thanks & Regards

..

Diksha Choudhary

Technical Recruiter

Email:-

[email protected]

Keywords: artificial intelligence machine learning business intelligence
Sr. Data Analyst||new york||onsite
[email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2281895&uid=
[email protected]
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11:50 PM 24-Mar-25


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