**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 general 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**
**Responsibilities**:
- Integrate models with existing systems and APIs.
- Develop and maintain production-quality data pipelines and ETL processes.
- Preprocess and manage data for training and deployment.
- Collaborate with cross-functional teams to define, design, and deploy new features.
- Write clean, maintainable, and efficient code.
- Document development processes, code, and APIs.
**Requirements**:




- Proven experience in developing and deploying machine learning APIs.
- Strong knowledge of API integration (RESTful, GraphQL).
- Experience with data preprocessing, SQL, and NoSQL databases, as well as vector stores (e.g., Postgres, MySQL, Solr, Elasticsearch, OpenSearch).
- Familiarity with deployment tools (Docker, Kubernetes).
- Experience with DevOps tools such as Jenkins, Terraform, or Cloud Formation templates is a plus.
- Strong problem-solving and communication skills.
- Experience with distributed computing technologies such as Spark, Hadoop, or EMR is preferred.
- Ability to work effectively in an agile team environment.
**Preferred Qualifications**:
- Degree in Computer Science, Data Science, or a related field.
- Certifications in machine learning, data science, or cloud computing.
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📌 Data Engineer/ Ai Engineer (Ciudad de México)
🏢 Fusemachines
📍 Ciudad de México