Data Scientist

About Welvaart

On a daily basis, we assume commitments and present solutions to our stakeholders in order to create a structure of human values, based on professionalism, honesty and rigor.

With a management based on Human Centered Design, we take care of our professionals with consistent career plans, but flexible with their needs and expectations of evolution. Our management team guarantees an empathetic and present leadership that will provide superior technological engagement and delivery to our clients' projects and products.

Role

Develop, fine-tune, and deploy Generative AI models using AWS services like Bedrock, SageMaker, and Lambda.

Work with LLMs, embeddings, transformers, and diffusion models for applications in NLP, image generation, and AI automation.

Optimize prompt engineering, fine-tuning, and Reinforcement Learning from Human Feedback (RLHF) techniques.

Build scalable MLOps pipelines for training and deploying GenAI models using SageMaker, ECS, and Kubernetes.

Process and manage large-scale datasets for AI training using AWS Glue, Athena, and Redshift.

Implement vector databases (Pinecone, Weaviate, FAISS, Amazon OpenSearch) for efficient retrieval-augmented generation (RAG) applications.

Design and optimize ETL pipelines for AI/ML data workflows.

Collaborate with software engineers, DevOps, and product teams to integrate AI models into applications and APIs.

Ensure security, compliance, and data privacy in AI/ML workflows.

Monitor AI model performance and retraining needs using AWS CloudWatch, MLFlow, and other observability tools.

We are looking for

Strong background in Data Science, Machine Learning, and Generative AI.

Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers).

Experience with AWS AI/ML services such as SageMaker, Bedrock, Lambda, and Comprehend.

Hands-on experience with LLMs, embeddings, transformers, and diffusion models.

Familiarity with Retrieval-Augmented Generation (RAG), vector databases, and knowledge graphs.

Experience in MLOps, containerization (Docker, Kubernetes, ECS), and CI/CD for ML pipelines.

Solid understanding of cloud optimization, distributed computing, and model scaling.

Strong data engineering skills for processing large datasets in AWS Glue, Athena, or Spark.

Knowledge of NLP, image generation models, or multimodal AI solutions.

What you can discover with us?

• Be part of a tech start-up
• Different scopes of project in different sectors
• Structure of fairness and equity salary (Consultant Profile)
• Training & Certification
• Career Path management
• More than 30 Partnerships
• Welvaart Ambassador Program
  
  
  

UNLEASH THE POWER OF YOUR CAREER