Lead Data Scientist
Lead Data Scientist
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Job Description
Were looking for a Lead Data Scientist specialized in Generative AI to spearhead the development and deployment of cutting-edge AI solutions that power intelligent recommendation systems and personalized user this role youll lead initiatives leveraging LLMs embeddings and GenAI frameworks while also shaping the technical direction of our AI strategy.
You may work 100% remotely from Colombia Uruguay Argentina or Chile or come to our offices in Montevideo or Bogotá its up to you!
In this role you will
Lead the design and deployment of Generative AI models including LLMs and multi-modal architectures for personalized content and recommendations.
Drive the development of end-to-end machine learning pipelines from data preprocessing to production deployment.
Implement scalable MLOps practices ensuring robust monitoring CI/CD and model lifecycle management.
Collaborate with cross-functional teams to align business goals with advanced ML and GenAI solutions.
Mentor and guide junior data scientists and ML engineers fostering innovation and best practices.
Translate complex technical concepts into actionable insights for both technical and non-technical stakeholders.
Qualifications :
5 years in data science or machine learning roles with at least 2 years in GenAI or NLP-focused projects.
Strong experience building and fine-tuning LLMs (e.g. GPT LLaMA Claude) or using RAG pipelines.
Proficient in Python and libraries such as Transformers LangChain Scikit-learn PyTorch or PyMC.
Hands-on experience with MLOps tools (e.g. MLflow Vertex AI SageMaker) and deploying models at scale.
Deep understanding of machine learning theory embeddings and recommendation systems.
Experience with cloud platforms (AWS Azure GCP) and distributed data processing (e.g. Spark Databricks) is a strong plus.
Strong communication skills and leadership ability to influence technical direction and decision-making.
Additional Information :
Our perks and benefits:
Flexible working options to help you strike the right balance.
After office events football tennis and game nights (headquarters).
Learning opportunities:
AWS Certifications (we are AWS Partners).
Study plans courses and other certifications.
English Lessons.
Mentoring and Development opportunities to shape your career path.
Great location and even greater teammates!
So what are the next steps
We are eager to learn about you! Send us your resume and LinkedIn profile below and well explore working together!
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
