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

Key technologies and capabilities for this role

LLMNLPFine-tuningPromptingInformation ExtractionInformation RetrievalText GenerationModel DeploymentBenchmarkingProduction Environments

Questions & Answers

Common questions about this position

What is the salary for this ML Engineer position?

This information is not specified in the job description.

Is this ML Engineer role remote or does it require working from an office?

This information is not specified in the job description.

What skills and experience are required for the ML Engineer role?

Requirements include an MS or Ph.D. in Computer Science or related field, minimum 5 years in NLP and machine learning, strong skills in SQL, Python, and ML libraries like TensorFlow and PyTorch, deep understanding of NLP techniques, and hands-on experience with LLMs like GPT, LLAMA, or BERT.

What is the company culture like at Pigment?

Pigment fosters a collaborative, innovative environment where the team takes smart risks, celebrates bold ideas, challenges the status quo, and works as one team in a fast-paced setting.

What makes a strong candidate for this ML Engineer position?

A strong candidate has an advanced degree in CS or related field, 5+ years in NLP/ML, expertise in Python/SQL/ML frameworks and LLMs, plus knowledge of GCP and autonomous agents is a plus, along with excellent problem-solving and communication skills.

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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