Data Engineer/Architect (AI/ML)

At Snaphunt, we believe that the future of work is remote. We specialize in helping our highly-skilled, global specialist talent community around the world, connect with innovative companies looking scale their global teams quickly and cost-effectively.

The Role

• Developing high-quality code to build and deploy machine learning models.
• Extraction, transformation, loading and integration of data from various sources.
• Supporting translation of data business needs into technical system requirements.
• Working with stakeholders to understand needs regarding data structure, availability, scalability and accessibility.
• Providing secure, stable, scalable and cost-effective solutions to facilitate storage, integration, usage, access, and delivery of data assets across the business.
• Recommending, developing and implementing ways to improve data reliability, efficiency, and quality.

Ideal Profile

• You possess a degree in Computer Science, Applied Mathematics, Engineering or related field.
• You have at least 4 years experience within a Data Engineer/ Architect role.
• Ability to conceive the data picture from an organisational perspective, and bridge gap between current state and future goals.
• Demonstrated experience working with large and complex data sets as well as experience analyzing volumes of data.
• Exposure/expertise in one or more of emerging tools like columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data.
• Strong expertise in data modelling & database design.
• You possess strong knowledge of Python.
• Expertise in Data Modeling / Statistical Modeling, Extraction, Transformation & Load (ETL) and Machine Learning would be highly valuable.
• You possess strong analytical skills and are comfortable dealing with numerical data
• You are a strong team player who can manage multiple stakeholders
• You are highly goal driven and work well in fast paced environments

What's on Offer?

• Join a fast growing startup that is disrupting the way employers discover & hire talent globally
• Work closely with the founding team on developing & deploying machine learning models