Senior Data Scientist
Senior Data Scientist
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Salary Not Disclosed
1 Vacancy
Job Description
Were growing our Data Science team to drive innovation in Generative AI. As a Data Scientist you will design build and deploy LLM-powered solutions that directly impact our products and users. Youll work hands-on with LLMs transformers retrieval-augmented generation (RAG) and AI agents collaborating with Engineering to bring prototypes all the way to production and take ownership of their ongoing maintenance enhancement and evolution.
Whats this position about
Architect and implement production-ready AI solutions involving LLMs transformer-based models retrieval systems agentic workflows and AI agents for generative tasks and automation.
Design and iterate on prompts workflows and RAG pipelines to improve accuracy cost-efficiency latency and safety.
Build multi-step agentic systems that break down complex tasks invoke external tools or APIs manage state and handle reasoning chains robustly.
Deploy models and GenAI pipelines in production environments (API batch streaming) ensuring reliability and scalability.
Build and maintain evaluation frameworks to measure model grounding factuality latency and cost.
Develop and integrate guardrails for safety security and output validation.
Collaborate cross-functionally with Product Engineering and ML Ops to deliver high-quality AI features end-to-end.
Qualifications :
Required Skills:
3 years of applied machine learning experience with a focus on NLP transformers or generative AI systems.
Hands-on experience with LLM-related libraries (e.g. LangChain LlamaIndex OpenAI API CrewAI) and services (Azure Prompt Flow AWS Bedrock agents or similar).
Experience designing multi-step agents that combine LLM reasoning with tool/API calls with safeguards against errors loops and unsafe tool use.
Proven experience building and deploying machine learning models to production (API batch or streaming).
Proficient in Python following clean modular production-grade code practices.
Strong ability to design and analyze ML experiments with metric-driven evaluation.
Experience developing and monitoring AI-powered applications in cloud environments (AWS Azure GCP) using APIs batch or streaming architectures.
Familiarity with containerization version control and CI/CD pipelines.
Experience implementing privacy bias mitigation safety guardrails or related responsible AI practices.
Nice to Have Skills:
Experience with retrieval-augmented generation (RAG) optimization.
Knowledge of additional programming languages (e.g. R Java or Scala).
Background in optimization and cost-performance tradeoffs for large-scale AI systems.
Education:
Degree in Computer Science Data Science Engineering or related field (or equivalent experience).
Languages:
Excellent written and verbal English for clear and effective communication with the team.
Experience:
Minimum of 2 years in applied machine learning with proven hands-on NLP or generative AI expertise.
Additional Information :
Our Perks and Benefits:
Learning Opportunities:
Certifications in AWS (we are AWS Partners) Databricks and Snowflake.
Access to AI learning paths to stay up to date with the latest technologies.
Study plans courses and additional certifications tailored to your role.
Access to Udemy Business offering thousands of courses to boost your technical and soft skills.
English lessons to support your professional communication.
Travel opportunities to attend industry conferences and meet clients.
Mentoring and Development:
Career development plans and mentorship programs to help shape your path.
Celebrations & Support:
Special day rewards to celebrate birthdays work anniversaries and other personal milestones.
Company-provided equipment.
- Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location please consult with one of our recruiters.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
Company Industry
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
