DATALYN

About the Company

DataLynn is a cutting-edge artificial intelligence technology firm nestled in New York city. At the core of DataLynn's innovative prowess lies its mastery of generative artificial intelligence (GenAI) and large language models (LLM), from which it crafts sophisticated AI Agents. These AI Agents are the quintessence of DataLynn's technological ingenuity, seamlessly integrated into a multitude of commercial settings. DataLynn has not only pioneered but also successfully implemented a wide array of high-value commercial applications, showcasing its AI Agents' transformative potential across diverse business landscapes. With a relentless pursuit of excellence and a visionary approach, DataLynn is reshaping the future of industries, one AI solution at a time. DataLynn's suite of products embodies the zenith of AI innovation, meticulously designed to cater to a diverse range of industries with precision and sophistication: 1. DataLynn AI Interview Platform: An all-in-one AI career guide, this platform leverages advanced AI agents to refine users' interview skills, integrating cutting-edge AI and natural language processing to offer a transformative interview preparation experience. 2. DataLynn AI Trading Agent – A multi-agent trading framework simulating real-world hedge fund operations. Powered by LLM-based analyst, sentiment, and trader agents, it integrates fundamental, technical, and behavioral data to identify high-value assets, optimize capital allocation, and manage portfolio risk. Enhanced with blockchain-based transparency, it embodies DataLynn’s vision for secure, explainable, and adaptive AI decision systems in finance.

Listed Jobs

Company Name

DATALYN

Job Title

Ingénieure / Ingénieur IA Générative (H/F)

Job Description

**Job Title** Generative AI Engineer (m/f) **Role Summary** Design and deploy innovative data solutions to support business decision‑making. Lead analytical initiatives, develop algorithms, and build predictive and generative AI models driving search, targeting, and customer insights. **Expectations** - Deliver high‑quality, scalable data products that integrate with enterprise systems. - Translate business objectives into data‑driven solutions and validate results with stakeholders. - Continuously improve data pipelines, models, and AI utilities to enhance organizational performance. **Key Responsibilities** 1. Analyze internal data sources and define relevant datasets for production, sales, and customer interaction use cases. 2. Design, implement, and maintain data collection, cleaning, and structuring pipelines. 3. Engineer and optimize algorithms to improve search relevance and targeting precision. 4. Build and validate predictive models forecasting business trends and market dynamics. 5. Deploy generative AI components to create value‑added content or insights. 6. Collaborate with data architects to ensure alignment with data warehouse and cloud architecture standards. **Required Skills** - Proficiency in data warehousing (e.g., STAR schema, dimensional modeling). - Expertise in data cleaning, preprocessing, and feature engineering. - Strong background in predictive modeling and generative AI techniques. - Hands‑on experience with Python, R, SQL, and related libraries (scikit‑learn, TensorFlow/PyTorch). - Familiarity with cloud and big‑data platforms: AWS, GCP, Azure, Hadoop, Spark. - Ability to translate complex analytical results into actionable business insights. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related technical field. - Professional certifications in cloud platforms (AWS Certified Data Analytics, GCP Data Engineer, etc.) or big‑data technologies are advantageous.

Deuil la barre, France

On site

09-12-2025