Job Specifications
About The Company
Cephalgo is a Strasbourg-based technology company founded in 2020, focused on developing AI solutions that ensure safety, compliance, and trust in human-AI interactions. Originally rooted in healthcare innovation, Cephalgo's platform helps organizations securely analyze and monitor voice and emotion data while meeting privacy, security, and regulatory standards.
Backed by over €3 million in funding, Cephalgo combines deep expertise in voice AI, data protection, and compliance frameworks to help enterprises build and deploy responsible AI systems. The company collaborates with leading European partners in AI ethics, healthcare, and regulatory technology.
Role Summary
We are looking for a Senior / Principal AI Engineer to design, build, and scale applied AI systems for text and voice analysis, with a strong emphasis on time-series and sequential data.
You will own models end-to-end — from data understanding and experimentation to production deployment — working on real-world time-dependent signals such as voice streams, sessions, and evolving sequences.
This is not a pure MLOps role. Infrastructure exists to support high-quality modeling, fast iteration, and reliable deployment — not to replace applied AI ownership.
What You'll Work On
Applied AI & Modeling (Core Focus)
Design, train, and evaluate ML models for text and voice analysis.
Work on time-series and sequential modeling problems.
Own feature engineering, labeling strategies, and evaluation metrics.
Iterate on models based on real-world data and performance feedback.
ML Pipelines & Production Systems
Build and evolve ML pipelines that support experimentation and continuous improvement.
Deploy models into production and ensure performance, scalability, and stability.
Implement model monitoring and retraining workflows.
Time-Series & Sequential Data
Analyze and model time-dependent data such as voice signals, sessions, and event sequences.
Apply time-aware techniques (windowing, aggregation, decay, sequence modeling).
Improve model behavior as data distributions evolve over time.
Data & Platform Collaboration
Collaborate with data engineering teams on ETL, data quality, and data versioning.
Contribute to architecture decisions around feature stores and model registries.
Technical Leadership
Influence modeling approaches and technical direction across the product.
Mentor engineers and raise engineering and modeling standards.
Work closely with product teams to translate requirements into effective AI solutions.
This Role Is
What This Role Is (and Is Not)
applied AI and modeling-first
time-series focused
production-oriented with ownership
This Role Is Not
pure MLOps
infra-only or DevOps-heavy
research-only with no product impact
Qualifications
Experience
5+ years in AI Engineering, Applied Machine Learning, or similar roles.
Proven experience building and owning production ML models.
Experience working with text, speech, or other unstructured data.
Technical Skills
Strong programming skills in Python.
Experience with PyTorch, TensorFlow, or scikit-learn.
Solid understanding of time-series or sequential modeling techniques.
Familiarity with ML pipelines and production deployment.
Nice-to-Have
Experience with streaming or near-real-time data.
Exposure to Spark, Kafka, or similar data frameworks.
Experience working with voice or audio data.
Soft Skills
Strong analytical and problem-solving abilities.
Comfortable owning systems end-to-end.
Clear communicator who collaborates well across teams.
Education
Degree in Computer Science, Machine Learning, Data Engineering, or related field.
Advanced degrees are a plus, but practical experience is key.
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!
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