Description
Job Summary:
We are seeking a bilingual Data Science Engineer to design, develop, and implement Machine Learning, Deep Learning, and Generative AI solutions.
Key Highlights:
1. Business transformation driven by AI in a global environment.
2. Working with cutting-edge technologies and industry leaders to develop testing solutions.
3. A sustainable, agile, collaborative, and enjoyable work environment.
**IT Recruitment seeks Bilingual Data Science AI ML in Cuauhtémoc, Mexico City**
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**About Us**
* We create value through AI-driven business transformation, focusing on tax consulting services; we operate in the U.S., India, and across Latin America, achieving sustained annual growth while expanding our global service offerings — thus, we seek a Data Science Engineer in a hybrid arrangement.
**Your Role:** Design, develop, and implement Machine Learning, Deep Learning, and Generative AI solutions that transform data into strategic organizational value.
**Why Join Us?**
We are a people-centric company committed to maintaining a healthy balance between personal and professional life, offering you the opportunity to:
* Work with cutting-edge technologies and industry leaders to develop testing solutions, including AI.
* Freely apply your expertise to propose new solutions and services.
* Collaborate with multicultural teams across Latin America, India, and the U.S.
**What We Offer?**
We foster a sustainable, agile, collaborative, and enjoyable work environment, providing real medium- and long-term personal growth and professional development. Our offer includes:
* **Salary**: MXN 65,000–75,000 per month, free of statutory benefits, fully nominal, Savings Fund, Life Insurance, Major Medical Expense Insurance, Grocery Vouchers.
* **Working Hours**: Monday to Friday, 9:00 a.m. to 6:30 p.m.
* **Work Location**: Hybrid, with office presence at Polanco (3 days/week).
**What We Are Looking For?**
* 5 years of experience as: Data Science Tech Lead, Machine Learning Engineer, Data Scientist, or Data Science Scientist.
* Bachelor’s degree in Data Science, Applied Mathematics, Statistics, Physics, or Engineering with specialization in AI/ML.
* Advanced skills in gathering end-user requirements and effectively managing stakeholder relationships across diverse business units.
* 4–5 years of experience designing, architecting, and implementing ML models or MLOps (supervised and unsupervised) for classification, regression, clustering, and recommendation systems.
* 4–5 years of experience designing Generative AI solutions using LLMs such as OpenAI, Deepseek, Gemini, Mistral, Llama, Claude, etc.
* Experience managing the full MLOps lifecycle: data and model versioning, automated training pipelines, production deployment, and monitoring of drift and performance.
* 4–5 years of hands-on Python development with libraries including PyTorch, TensorFlow, LangChain, and Hugging Face; RAG: embeddings, vector databases (Pinecone, Weaviate, ChromaDB, FAISS); Prompt Engineering: Chain-of-Thought, Few-shot, Zero-shot, ReAct.
* 4–5 years working with platforms: AWS (SageMaker, Bedrock), Azure (ML Studio, OpenAI Service), GCP (Vertex AI); containers: Docker, Kubernetes; GPU computing: CUDA, cuDNN, distributed training.
* 2–3 years of data analysis, exploration, and visualization using SQL or Metabase; alternatively, tools such as Polaris, pandas, DuckDB, Matplotlib, Seaborn, Tableau, Power BI.
* Proficiency in code versioning using Git, GitHub, and GitFlow.
* ***Desirable***: Master’s or Ph.D. in Machine Learning, Artificial Intelligence, Data Science, or related fields. Publications in top-tier conferences (NeurIPS, ICML, CVPR, ACL) or contributions to open-source ML/AI projects.
**Preferred Education Level:**
Bachelor’s Degree — Incomplete
**Preferred Experience Level:**
Entry Level
**Departmental Function:**
Technology / Internet
**Industry:**
Software Development / Programming
**Skills:**
* Python ML AI SQL BI
* AWS Azure RAG Docker
* Claude Llama GPT MLOPS
* Matplotlib Seaborn Pytorch
* SQL R Bash langchain
*This job posting originates from the Talenteca.com job board:*
*https://www.talenteca.com/anuncio?j\_id\=6a0338cb4200004100eadad7\&source\=indeed*