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60 Hugging Face Financial Analyst Jobs Hiring Near You

Financial Analyst

Saint Louis, MO · On-site

$95 - $115/hr

Inotiv is seeking a self-motivated, analytically minded Financial Analyst to support the FP&A ... Together, we face challenges and together we win in the delivery of world-class drug discovery and ...

Job Summary Inotiv is seeking a self-motivated, analytically minded Financial Analyst to support the FP&A Controller for three Discovery and Translational Sciences operational sites located in ...

Financial Analyst

Worthington, KY · On-site

$95 - $115/hr

Job Summary Inotiv is seeking a self-motivated, analytically minded Financial Analyst to support ... Together, we face challenges and together we win in the delivery of world-class drug discovery and ...

Financial Analyst

Saint Louis, MO · On-site

$95 - $115/hr

Job Summary Inotiv is seeking a self-motivated, analytically minded Financial Analyst to support ... Together, we face challenges and together we win in the delivery of world-class drug discovery and ...

Performs a broad range of financial planning and analysis for assigned entities. Monitors results ... Works with internal and/or external customers via telephone or face to face interaction. Works with ...

AI Engineer

Little Rock, AR · On-site

$109K - $131K/yr

Rapidly test new tools, frameworks, and APIs (e.g., OpenAI, Hugging Face, Google Vertex AI) for use ... Engineering, Data Analytics, Data Science OR Mathematics, Statistics, Economics, Business ...

ABOUT THE ROLE The Market Financial Analyst provides support for management reporting ... meets the face in order to pass the qualitative and quantitative fit tests. WHAT WE OFFER

Senior Financial Analyst

Maitland, FL · On-site

$79K - $99K/yr

Summary As a Senior Financial Analyst working for Taylor Morrison you will be responsible for ... Ability to have face to face conversations with customers, co-workers and higher level manager

... analysis and experiment design * Strong proficiency in SQL and Python, including experience with essential packages such as scikit-learn (sklearn), matplotlib, pandas, seaborn, PyTorch, Hugging Face ...

Showing results 21-40

RQ11420 - Data Analytical Specialist/Scientist - Senior

Flexstaf IT

Toronto, ON • On-site

Full-time

Posted 10 days ago


Job description

Must have:

must have experience Azure data tools - azure, databricks, MLflow, python

Exposure to LLM frameworks (DSPy, LangChain, Hugging Face, or equivalent).

Familiarity with Python and libraries like pandas, scikit-learn, or PyTorch.

Experience and Skill Set Requirements

Role Overview:

The Government of Ontario is embarking on a large Data & AI transformation initiative. Core to the transformation is the enablement of the Ontario Data Platform (ODP), which is being developed as the enterprise technology ecosystem for everything Data & AI. ODP is a modern ecosystem of data solution consisting of data ingestion technologies, storage, processing and visualization as well as solutions related to data governance, quality, marketplace, etc. ODP will initially serve all internal government clusters, ministries and program areas, but also external agencies in the future. We are looking for a data scientist to support various initiatives related to the platform as well as the execution of use cases to support the needs of various businesses within the government.

Key Responsibilities

· Run and Monitor Inferences

o Execute batch inference jobs on Databricks and other environments.

o Troubleshoot inference issues, log results, and escalate model anomalies.

· Pipeline & Evaluation Support

o Assist with running DSPy pipelines and loading custom models/configs.

o Support evaluation runs using internal metrics

o Track and summarize performance metrics for inference experiments.

· Data Handling & Experimentation

o Help prepare and clean legal text datasets for inference and evaluation.

o Annotate outputs to support error analysis and benchmarking.

o Maintain reproducible scripts/notebooks for inference runs.

Qualifications

· Background in Computer Science, Data Science, or AI/ML (student or recent grad is good).

· Familiarity with Python and libraries like pandas, scikit-learn, or PyTorch.

· Exposure to LLM frameworks (DSPy, LangChain, Hugging Face, or equivalent).

· Comfortable working with Databricks / MLflow or other cloud ML environments.

· Detail-oriented with strong organizational skills for tracking experiments.

Evaluation:

Technical Skills - 50%

LLM frameworks - 25%

Databricks/MLflow - 25%