Senior Data Scientist | AI Engine

Wellhub (formerly Gympass); Genova; Remoto; EUR 50.000 - 80.000; Tempo pieno

Descrizione del lavoro

A leading company is seeking a Senior Data Scientist to join its AI Engine team. In this role, you will leverage Generative AI to enhance wellness solutions for millions of subscribers. Your responsibilities include model development, data preparation, and collaboration with engineers to create innovative AI applications.

Servizi

Access to digital fitness programs and wellness resources

Subsidy for onsite gyms and studios

Hybrid and full remote options

Flexible work hours

Minimum 25 days paid time off

100% paid parental leave

Opportunities for career growth

Diverse and supportive culture

Competenze

• Master’s degree or PhD in relevant fields.
• Proficiency in Python and frameworks like PyTorch or TensorFlow.
• Strong understanding of generative AI architectures.

Mansioni

• Develop and fine-tune AI models using deep learning techniques.
• Collaborate with engineers to deploy scalable AI applications.
• Evaluate AI performance through various testing frameworks.

Conoscenze

Python

Problem-solving

Data analysis

Experimental design

Communication

Formazione

Master’s degree or PhD in Computer Science, Data Science, Machine Learning, Statistics

Strumenti

PyTorch

TensorFlow

Descrizione del lavoro

At Wellhub (formerly Gympass) (Permanent), in Lisbon, Portugal

Expires at : 2025-06-09

Remote policy : Full remote

We are hiring a Senior Data Scientist for our AI Engine team in Portugal!

We seek a talented and motivated Data Scientist to join our team in Brazil / Portugal and contribute to innovative projects in Generative AI. You will help shape AI-powered wellness solutions by leveraging Generative AI, fine-tuning LLMs, and evaluating Agentic systems.

As a Data Scientist in the CARE team, you will develop cutting-edge Agentic AI to enhance and personalize the wellness journey for millions of Wellhub subscribers. Your work will advance AI's role in wellness, making it more adaptive and impactful. You will collaborate with engineers and domain experts to create innovative AI applications and solve real-world problems.

YOUR IMPACT

1. Model Development & Fine-tuning: Understanding deep learning techniques like Transformers and attention mechanisms, and fine-tuning LLMs using methods such as LoRA, QLoRA.
2. Function Calling & Tool Use: Designing function calling mechanisms within LLMs for dynamic API, database, and RAG pipeline interactions.
3. Prompt Engineering: Creating clear instructions and reusable templates for models, testing edge cases.
4. Data Preparation: Preprocessing and analyzing datasets for training and fine-tuning models.
5. Evaluation and Testing: Developing frameworks to assess AI performance, including automated, adversarial, and human-in-the-loop evaluations.
6. LLM Observability: Monitoring LLM behavior in production, focusing on retrieval, hallucinations, and latency.
7. Research and Innovation: Keeping current with generative AI research, sharing insights, and testing new approaches.
8. Deployment: Collaborating with engineering teams for scalable model deployment.

Live the mission : Inspire and empower others by caring for your wellbeing and colleagues. Foster a supportive environment promoting work-life balance.

Main requirements

• Master’s degree or PhD in Computer Science, Data Science, Machine Learning, Statistics, or related.
• Proficiency in Python and frameworks like PyTorch or TensorFlow.
• Strong understanding of generative AI architectures, transformers, and attention mechanisms.
• Experience with multi-agent systems and LLMs.
• Problem-solving skills, experimental design, and data analysis.
• Excellent communication skills for explaining complex concepts.
• Clear scientific thinking and passion for integrating R&D into products.

Prior experience in Python and SQL is mandatory. We encourage applications from all backgrounds, even if not a perfect match.

Our benefits include:

• WELLHUB: Access to digital fitness programs and wellness resources, with a Gold plan at no cost.
• FITNESS: Subsidy for onsite gyms and studios.
• FLEXIBLE WORK: Hybrid and full remote options, with stipends and allowances.
• FLEXIBLE SCHEDULE: Work hours adapted to personal and business needs.
• PAID TIME OFF: Minimum 25 days, plus extra for tenure and holidays.
• PARENTAL LEAVE: 100% paid parental leave for new parents.
• CAREER GROWTH: Opportunities for development and advancement.
• CULTURE: A diverse, supportive, and innovative environment fostering trust, flexibility, and integrity.