Artificial Intelligence Specialist

Menthoda is a Business and Executive Cross - Industry Platform startup, enabling Personalized Matchmaking Connections

Our start-up is looking for an experienced and self-driven experienced Data

Scientists proficient in machine learning, Time series, and deep

learning models.

This position is initially for equity, this is an opportunity to join our amazing team! We are in our MVP stage already

We are looking for an experienced Data Scientist proficient in ML, NLP, and DL models at a CTO level

As

an AI Specialist, you will be responsible for developing, testing, and

implementing AI models and algorithms that support the Menthoda

matchmaking process.

Day-to-day

tasks will include data processing, model training, optimization and

tuning, and deployment of models using cloud platforms. Additionally,

the AI Specialist will collaborate with cross-functional teams to

identify business needs, data sources, and model requirements.

Qualifications

• Experience in Data Science and Machine Learning algorithms for classification, regression, clustering
• Experience with designing AI-based matchmaking recommendation systems
• Experience with NLP, LLM, RAG
• Design

and develop an integration with external data sources including data

scraping and structuring. Proficient in REST APIs, JS, interactive login

• Proficient in Python and one or more of the following frameworks: TensorFlow, Keras, PyTorch, Scikit-Learn
• Strong analytical and problem-solving skills with the ability to interpret complex data sets
• Experience with cloud platforms (AWS) and containerization (Docker, Kubernetes)
• Excellent written and verbal communication skills with the ability to present technical concepts to non-technical stakeholders
• Experience with graph databases (advantage)

Requirements:

• Bachelor's degree in Data Science or related
• Background in building AI based recommendation systems
• Experience with scraping APIs and Structure Data
• 8+ years experience with AI/ML
• 8+ years experience with Python
• Experience with NLP (must)
• Experience with Kafka (advantage)
• Experience with docker (advantage)
• Experience with AWS (advantage)
• Team player
• Demonstrated ability to work in a fast-paced, startup environment, with a proactive and problem-solving mindset.
• Background in working at early stage startup