- Company Name
- Connity
- Job Title
- Data scientist / Ingénieur IA
- Job Description
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Job title: Data Scientist / AI Engineer (LLM, Time Series & Azure)
Role Summary: Design, build, and industrialize advanced machine learning, time‑series forecasting, and generative AI solutions for a B2B software platform. Lead end‑to‑end data pipelines, model training, deployment, and monitoring in an Azure environment while collaborating with product and engineering teams to convert prototypes into scalable features.
Expectations: • Minimum 3 years of professional experience in data science, machine learning, or applied AI.
• Strong proficiency in Python and core ML/DL libraries (TensorFlow, PyTorch, scikit‑learn).
• Proven expertise in time‑series analysis, forecasting, and sequential modeling.
• Hands‑on experience with large language models (LLMs) and modern NLP.
• Comfortable with MLOps practices: Docker, pipelines, deployment, and monitoring.
• Valuable experience with Azure cloud services; optional certifications are a plus.
Key Responsibilities: • Prototype, train, and evaluate ML/DL models for forecasting and generative AI.
• Integrate LLMs into data and product workflows (NLP, assistants, intelligent automation).
• Build and maintain full data and ML pipelines: ingestion, cleaning, feature engineering, training, deployment, and monitoring.
• Contribute to architecture decisions and model industrialization on Azure.
• Partner with product and engineering to scale proof‑of‑concepts into robust, production‑ready features.
Required Skills: • Python, TensorFlow, PyTorch, scikit‑learn, Docker, pipelines, orchestration.
• Time‑series forecasting, sequential modeling, NLP, LLMs.
• MLOps concepts, API development, Azure cloud services.
• Strong analytical, problem‑solving, and communication skills.
Required Education & Certifications: • Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related technical field.