Description:

Fusemachines is an AI company with over 10 years of experience, focused on delivering advanced AI products and solutions across various industries.
The company aims to democratize AI and leverage global AI talent from underserved communities.
The ML Engineer role is a full-time, remote, contracted position.
Responsibilities include understanding business objectives, developing models, analyzing ML algorithms, exploring and visualizing data, ensuring data quality, defining validation strategies, and deploying models to production.
The candidate will work independently and collaboratively within a multi-disciplined project team in an Agile development environment.
The role involves providing feedback on code and architecture optimization for Big data products.

Requirements:

Candidates must have hands-on experience developing with Python and PySpark.
Experience with Spark is preferred.
A strong foundation in statistics is required to analyze data and derive insights.
Familiarity with Azure Databricks or similar platforms is necessary.
Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras is essential.
Candidates should be proficient in Python and basic libraries for machine learning, including scikit-learn and pandas.
Expertise in visualizing and manipulating big datasets is required.
The ability to select appropriate hardware for running ML models with the required latency is necessary.
Familiarity with Azure services is a must.
Proven experience with CI/CD and version control systems like GitHub or Bitbucket is required.
Familiarity with Linux OS and concepts is necessary.
Strong written and verbal communication skills are essential.
Candidates should be self-motivated and able to work well in a team.
A Bachelor of Science degree from an accredited university is required.

The position offers the opportunity to work with a dedicated team of over 400 full-time employees in a dynamic and innovative environment.
Employees will be involved in cutting-edge AI projects that have a global impact.
The role provides the chance to collaborate with multi-functional teams and contribute to significant product milestones.
Working remotely allows for flexibility in work-life balance.
Employees will have the opportunity to enhance their technical skills and grow within the AI field.