Information extraction jobs

Head of AI

Lifen · Posted Nov 10, 2026

Open

Paris, Île-de-France, France
Hybrid
Full-time · Manager
2+ years

Head of AI

Lifen · Posted Nov 10, 2026

Open

Paris, Île-de-France, France
Hybrid
Full-time · Manager
2+ years

Lead Product Software Engineer

Wolters Kluwer · Posted Nov 9, 2026

Open

Coppell, Texas, United States
$116K–$204K per year
8+ years

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Lead technical and product leadership for complex, business‑critical applications.

Compensation

$116,400.00 - $204,100.00 USD

Responsibilities

Lead complex product capabilities and technical initiatives end‑to‑end
Champion Agentic Spec‑Driven Development and Product Development Lifecycle practices
Architect and deliver full‑stack solutions across Angular/TypeScript, C#/.NET, REST APIs, databases, and Microsoft Azure
Provide technical direction and architectural leadership
Lead resolution of complex technical problems

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Engineering, or a related field, or equivalent practical experience
Master’s degree is a plus

Skills

C#.NET/ASP.NET Core Angular TypeScript REST APIs relational databases

AI/ML Engineer - Production AI & LLM Systems

Volga Partners · Posted Nov 7, 2026

Open

Remote, India
Remote
Full-time · Mid
₹2M–₹2M per year
3+ years

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The AI Engineer will design, develop, and deploy advanced, production-ready AI solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, agentic AI workflows, and intelligent automation technologies.

Compensation

₹15,00,000 – ₹22,00,000 per year (15–22 LPA), commensurate with experience and technical expertise

Responsibilities

Design, develop, and deploy AI systems, including LLMs, RAG, agentic workflows, and ML/DL solutions.
Select appropriate models and architectures while balancing accuracy, latency, cost, and complexity.
Train and fine-tune models using PyTorch or Keras, including data preparation and evaluation.
Implement and benchmark research methods before adoption.
Build APIs, inference pipelines, and backend integrations.

Requirements

Nice to have: LLM fine-tuning
Nice to have: LoRA
Nice to have: RL-based methods
Nice to have: SQL
Nice to have: LangGraph

Skills

AI/ML engineering NLP fundamentals tokenization embeddings classification

Research Engineer, Privacy and Anonymization

Clera-AI · Posted Nov 5, 2026

Open

San Francisco, California, United States
On-site
Full-time · Associate
$130K–$225K per year
2+ years
Visa sponsorship

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Build privacy and anonymization systems for an AI infrastructure team, helping make sensitive real-world data safe and useful for model training.

Compensation

Base salary: $130,000 to $225,000 annually.

Responsibilities

Build systems to detect PII, quasi-identifiers, credentials, and other sensitive information, and choose transformations suited to each data type and use case.
Develop and benchmark detection methods combining rules, statistical models, classifiers, and LLM-based approaches.
Create production pipelines that anonymize raw data before downstream processing, training, evaluation, or synthetic data generation.
Build evaluation frameworks for privacy risk and retained utility, including recall-weighted metrics, leakage tests, and adversarial re-identification attempts.
Design robust systems for new data sources, schema drift, unusual formats, and sensitive information in unexpected fields.

Requirements

Technical education or equivalent background
Nice to have: privacy-enhancing technologies
Nice to have: healthcare data
Nice to have: finance data
Nice to have: security data

Skills

Python PII detection

Head of AI

Head of AI

Responsibilities

Requirements

Skills

Lead Product Software Engineer

Compensation

Responsibilities

Requirements

Skills

AI/ML Engineer - Production AI & LLM Systems

Compensation

Responsibilities

Requirements

Skills

Research Engineer, Privacy and Anonymization

Compensation

Responsibilities

Requirements

Skills

Benefits

Benefits