ML Engineer at Pigment

France

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

SaaS, AIIndustries

Requirements

MS or Ph.D. in Computer Science, Mathematics, or a related field
Minimum of 5 years of experience in NLP and machine learning
Strong programming skills in SQL, Python, and relevant ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Strong understanding of NLP techniques, including text representation, feature engineering, model selection, tokenization, and embeddings
Hands-on experience working with large language models like GPT, LLAMA, BERT, or Transformer-based architectures
Knowledge about the recent developments of autonomous agents (plus)
Solid understanding of GCP and related machine-learning offerings
Excellent problem-solving skills and ability to work independently
Strong written and verbal communication skills

Responsibilities

Research, fine-tune, and improve prompting of LLM models for Pigment's advanced use cases (Information Extraction, Information Retrieval, Text Generation tasks, etc.)
Implement and deploy models in production environments
Conduct experiments and benchmarking to assess the performance of various models and architectures
Continuously research and stay up-to-date with recent advancements in NLP and large language models, applying novel techniques and methodologies to improve our models

Skills

LLM

NLP

Fine-tuning

Prompting

Information Extraction

Information Retrieval

Text Generation

Model Deployment

Benchmarking

Production Environments

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

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Remote Work Options

Paid Vacation

Parental Leave

Performance Bonus

Risks

Increased competition from Anaplan and Adaptive Insights with expanding AI capabilities.

Potential market saturation in North America could lead to pricing pressures.

Challenges in maintaining data security due to stringent Canadian data protection laws.

Differentiation

Pigment offers real-time data visualization for enhanced business decision-making.

The platform integrates AI for predictive analytics and insights in financial planning.

Pigment's user-friendly interface simplifies complex financial reporting and forecasting.

Upsides

Pigment raised $145m in Series D to expand its SaaS product in North America.

Strategic partnership with Deloitte enhances Pigment's credibility in digital finance transformation.

Pigment AI launch aims to deliver faster, smarter business insights for teams.

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