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AllCares

AllCares

www.allcares.team

1 Job

4 Employees

About the Company

We connect businesses and top talents. If you're part of a company, we can help you set up a solid hiring process without having to build a whole recruiting department from scratch. Meanwhile, for talents, we provide support in showcasing your skills and experience exactly where they’ll be highly valued and appreciated. Get in touch to see how we can help you in your work life!

Listed Jobs

Company background Company brand
Company Name
AllCares
Job Title
Senior / Principal AI Engineer
Job Description
**Job Title:** Senior / Principal AI Engineer **Role Summary:** Own end‑to‑end applied AI solutions for text and voice analysis with a focus on time‑series and sequential data. Design, build, evaluate, and scale production models that deliver reliable performance on real‑world signals. **Expectations:** - Lead AI model development from conception to deployment. - Drive feature engineering, labeling, and metric selection to meet business objectives. - Ensure model reliability, scalability, and continuous improvement. - Mentor junior engineers and influence technical strategy. **Key Responsibilities:** - Design, train, and evaluate ML models for text, speech, and other unstructured data. - Develop and maintain ML pipelines for experimentation and production. - Deploy models, implement monitoring, and orchestrate retraining workflows. - Analyze time‑dependent data (voice streams, sessions, event sequences) using windowing, aggregation, decay, and sequence modeling. - Collaborate with data engineering on ETL, quality, versioning, feature stores, and model registries. - Translate product requirements into AI solutions with cross‑functional teams. **Required Skills:** - 5+ years in AI engineering or applied machine learning. - Proven production model ownership (text, speech, or unstructured data). - Strong Python programming; experience with PyTorch, TensorFlow, or scikit‑learn. - Deep knowledge of time‑series / sequential modeling techniques. - Familiarity with ML pipelines and production deployment. - Excellent analytical, problem‑solving, and communication skills. **Nice‑to‑Have:** - Streaming/near‑real‑time data expertise (Spark, Kafka). - Voice/audio data experience. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Engineering, or related field. - Advanced degrees are a plus; practical experience is paramount.
France
Remote
Senior
05-02-2026