Bionesca is a cutting-edge AI- platform focused on creating personalised, clinically-driven personalised skincare solutions. Our platform uses a hybrid diagnostic model that combines advanced skin imaging, questionnaire-based root-cause assessments, and a scientifically validated ingredient matrix to recommend tailored routines.

We are developing a data-driven, digital first skincare assessment tool that leverages dermatological research, clinical actives, and AI-driven analysis.

Role Description

AI/ML Engineer

Design and set up the
core database architecture
(customer data, image data, ingredient library, diagnostic logic).
Build and maintain
data pipelines
to ensure clean, structured, and scalable data flows.
Collaborate with experts to design a schema that maps
skin concerns ↔ ingredients ↔ routines
.
Implement best practices for
data security, storage, and access control
.
Gradually prototype and train
AI/ML models
Deploy models into production and integrate with the customer-facing platform.
Document processes and ensure scalability as the system grows.

Qualifications

2–3 years of experience
in AI/ML, Data Engineering, or related fields.
Strong proficiency in
Python
and libraries like
Pandas, NumPy, scikit-learn
.
Experience with
database design and management
(SQL + NoSQL).
Hands-on experience with
data pipelines/ETL tools
.
Familiarity with ML frameworks (
TensorFlow, PyTorch
) and model deployment.
Understanding of
APIs and integrations
with web platforms.
Experience with
cloud infrastructure (AWS/GCP/Azure)
.
Strong analytical, problem-solving, and documentation skills.
Bonus: Experience with
computer vision
or
recommendation systems
.

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Bionesca Ltd.

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AI/ML Engineer - Consumer Tech (Contract to Hire)

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AI/ML Engineer - Consumer Tech (Contract to Hire)