ML Engineer at Pigment

France

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SaaSIndustries

Requirements

Candidates must hold a Master's degree or Ph.D. in Computer Science, Mathematics, or a related field, and possess at least five years of experience in Natural Language Processing (NLP) and machine learning. Strong programming skills are required, specifically in SQL, Python, and familiarity with relevant machine learning libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn. A solid understanding of NLP techniques, including text representation, feature engineering, model selection, tokenization, and embeddings is essential.

Responsibilities

The ML Engineer will be responsible for researching, fine-tuning, and improving prompting of Large Language Models (LLM) for Pigment’s use cases, implementing and deploying models in production environments, conducting experiments and benchmarking to assess model performance, and continuously researching and staying updated on advancements in NLP and large language models to apply novel techniques and methodologies for model improvement.

Skills

Machine Learning

NLP

LLMs

Natural Language Processing

Pigment

SaaS platform for financial planning and analysis

About Pigment

Pigment offers a financial planning and analysis platform that simplifies complex financial reporting and forecasting for businesses of all sizes. The platform operates on a software-as-a-service (SaaS) model, where clients subscribe and pay a recurring fee. Pigment's features include connectivity, processing power, and collaboration tools, which enhance the user experience and differentiate it from other financial planning tools. Users can create detailed financial models covering various aspects like human resources, revenue, expenses, and cash flow, which traditional spreadsheets often cannot handle effectively. By automating these processes, Pigment enables businesses to save time and focus on analyzing their financial data to drive value.

Paris, FranceHeadquarters

2019Year Founded

$378.3MTotal Funding

SERIES_DCompany Stage

Enterprise Software, FintechIndustries

501-1,000Employees