Engineer to perform the design and development of advanced analytics, machine learning, and applied GenAI solutions that solve complex business problems across diverse client engagements.
Key Responsibilities
- Experience exploratory data analysis and hypothesis-driven modeling initiatives.
- Design, train, and validate machine learning models aligned with business objectives.
- Develop evaluation frameworks and define performance metrics.
- Prototype and validate GenAI use cases using LLMs and embeddings.
- Apply statistical rigor to experimentation and performance assessment.
- Communicate insights and recommendations to technical and business stakeholders.
- Collaborate with ML Engineers to productionize validated solutions.
Candidate Profile
- 3+ years of applied data science experience in enterprise environments.
- Experience designing multiagent solution, different generative frameworks, applying LLMs, embeddings, and prompt engineering techniques
- Strong statistical and modeling background.
- Expertise in Python and ML libraries..
- Ability to translate business needs into analytical solutions.
- Experience working in consulting or client-facing contexts preferred.
- Experience on some of the clouds (AWS, Azure or GCP).
Core Competencies
- Analytical rigor and structured problem-solving.
- Strong business acumen.
- Ability to operate in ambiguous and multi-industry environments.
- Clear communication and stakeholder management.
Indispensable
- Proven experience delivering GEN AI solutions in enterprise contexts.
- Strong statistical foundation and experimentation capability.
- Practical experience applying LLMs beyond theoretical exploration.
- Ability to connect analytical outcomes with measurable business impact.
DESEABLE
- Master's degree or PhD in Artificial Intelligence, Machine Learning, Computer Science, or a related discipline.
- Proven Experience in Research and Analysis capabilities or Strong Research Background.
- Record of published research, technical papers, whitepapers, patents, or significant open-source contributions.
Location: Mexico
English Level: Advanced
📌 Data Scientist (Ciudad de México)
🏢 SOFTTEK
📍 Ciudad de México
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