Fusemachines is hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact.

Company: Fusemachines

Role: Machine Learning Engineer / Data Scientist

Location: Remote

Experience:

3–8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior)

Key Skills:

Python
SQL
pandas
numpy
scikit-learn
PyTorch
TensorFlow/Keras
Databricks
Spark
Delta Lake
MLflow
Databricks Jobs/Workflows
Airflow
Prefect
Dagster
Snowflake
BigQuery
Redshift
AWS
GCP
Azure
IBM
Docker

Qualification:

Strong foundation in statistics
Solid foundation in practical experimentation mindset
Hands-on experience across multiple model types

Role Focus:

Problem Framing & Stakeholder Partnership
Data Analysis & Feature Engineering
Model Development (Core ML)
Deep Learning
Evaluation, Explainability, and Iteration
Productionization & MLOps (Project-Dependent)
Documentation & Communication

Nice to have:

Causal inference experience
Agentic development experience
Deep familiarity with agentic coding tools and workflows
Experience with responsible AI and governance best practices
Consulting or client-facing delivery experience
Certifications (Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM, Databricks certifications)

Other:

Fusemachines provides a suite of enterprise AI offerings and specialty services
Fusemachines serves companies in industries such as retail, manufacturing, and government
Fusemachines continues to actively pursue the mission of democratizing AI for the masses

Machine Learning Engineer

Skills Required

Description