Senior Data Scientist

FuseMachines; Ciudad de México; Presencial; MXN 500,000 - 800,000; Jornada completa

Descripción de la vacante

A leading AI service provider is seeking a Data Scientist to develop innovative solutions in a hybrid environment. The role includes working with large natural language datasets, collaborating with cross-functional teams, and driving improvements in AI applications. Candidates should have a strong background in ML frameworks and a relevant degree. This is a unique opportunity to contribute to cutting-edge projects in a fast-paced culture.

Formación

• Practical experience with LLMs and prompt engineering.
• Strong NLP background with tools like spaCy and BERT.
• Experience with cloud platforms and ML frameworks.

Responsabilidades

• Develop and implement LLM-based applications for various use cases.
• Collaborate with teams to translate complex requirements into software solutions.
• Conduct experiments and evaluate model performance.

Conocimientos

Large Language Models

Natural Language Processing

Python

Machine Learning Frameworks

Cloud Platforms

Data Modeling

Distributed Computing

Educación

MS in Data Science or related field

Undergraduate degree in relevant field and 4+ years of relevant work experience

Herramientas

PyTorch

TensorFlow

Hugging Face Transformers

Descripción del empleo

About Fusemachines
Fusemachines is a leading provider of AI strategy, talent, and education services. Founded by Dr. Sameer Maskey, an Adjunct Associate Professor at Columbia University, our mission is to democratize AI. With a presence in four countries—Nepal, the United States, Canada, and the Dominican Republic—and a team of over 350 full-time employees, we leverage our global AI expertise to drive innovation and transformation for businesses worldwide.
This is a hybrid role that requires on-site presence for 2-3 days each week.
About the role

As a Data Scientist on our team, you will contribute to new product development in a collaborative, small-team environment, writing production code for both run-time and build-time applications.
You will help design and implement data-driven solutions for complex business challenges by discovering, extracting, and modeling knowledge from large-scale natural language datasets. Your work will involve prototyping new ideas and collaborating with data scientists, product designers, data engineers, front-end developers, and domain experts to drive innovation.
This role offers the opportunity to work in a fast-paced, start-up-like culture while leveraging the resources and scale of an established company.
Responsibilities

• Develop and implement LLM-based applications for various use cases.
• Evaluate and maintain data assets and training/evaluation datasets.
• Design and build pipelines for preprocessing, annotating, and managing large-scale text datasets.
• Collaborate with domain experts to understand requirements and ensure ML applications align with business needs.
• Conduct experiments and evaluate model performance to drive continuous improvements.
• Fine-tune and deploy large language models(LLMs) to enhance their performance on specialized tasks.
• Interface with other technical teams to finalize requirements.
• Work closely with development teams to understand complex product requirements and translate them into scalable software solutions
• Implement development best practices, including coding standards, code reviews, and production-ready implementations.

Requirements

• Practical experience with large language models (LLMs), prompt engineering, fine-tuning RAG-based applications, and benchmarking using frameworks like LangChain.
• Strong background in natural language processing (NLP) with experience using spaCy, word2vec, Flair, BERT.
• Formal training in machine learning, including dimensionality reduction, clustering, embeddings, and sequence classification algorithms.
• Proficiency in Python and experience working with ML frameworks like PyTorch, TensorFlow, and Hugging Face Transformers.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Understanding of data modeling principles and complex data architectures.
• Experience working with relational and NoSQL databases and vector stores (e.g., MySQL, Postgres, Solr, Elasticsearch, OpenSearch).
• Familiarity with distributed computing frameworks like Spark, Scala, or Ray (highly preferred).
• Knowledge of API development, containerization (Docker, Kubernetes), and ML deployment (highly preferred).
• Hands-on experience with ML Ops/AI Ops, including experiment tracking tools like LangFuse and DVC.
• Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face Transformers

Preferred Qualifications

• MS in Data Science, Computer Science, Statistics, Machine Learning, or related field
• 2+ years of relevant work experience
• Or undergraduate degree in relevant field and 4+ years of relevant work experience

Equal Opportunity Employer: Fusemachines is committed to fostering a diverse and inclusive workplace. We welcome applications from all qualified individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, protected veteran status, or any other legally protected status.