About us

Fueled by over €3M in funding, Cephalgo is looking for a talented member to improve our AI model.

About the role

AI Engineer with strong ML pipeline experience to build and scale systems for text and voice analysis, risk detection, and classifier training. You will develop production-grade pipelines from 0 → 1 and support machine learning initiatives across the product.

Key Responsibilities

Pipeline Development

• Build and maintain end-to-end ML pipelines: data ingestion, preprocessing, feature extraction, model training, evaluation, and deployment.
• Develop reliable workflows for voice and text analysis models.

Data Infrastructure

• Design and maintain data storage, ETL workflows, and streaming/batch systems.
• Implement data quality, labeling, and versioning practices.

ML Collaboration

• Work with data scientist and AI engineer to productionize models (text classifiers, anomaly detection models, compliance scoring models).
• Support model monitoring and performance tracking.

Scalability & Reliability

• Build robust, scalable, and fault-tolerant pipelines.
• Add observability layers: logging, monitoring, alerting.

Documentation & Governance

• Document ETL processes, schemas, and architecture.
• Support compliance, data governance, and security standards.

Qualifications

Experience

• 3+ years in data engineering or ML engineering.
• Proven experience building ML pipelines from scratch.
• Experience with text classification or similar ML tasks.

Technical Skills

• Strong programming skills (Python, Scala, or Java).
• Experience with Spark, Beam, Kafka, or similar frameworks.
• Familiarity with ML frameworks (PyTorch, TensorFlow, scikit-learn).
• Experience with cloud data infrastructure.

Soft Skills

• Strong analytical and collaboration skills.
• Detail-oriented and documentation-focused.

Education

• Degree in Data Engineering, Computer Science, Machine Learning, or similar field. PhD degree is preferred.