• Application Deadline:
• Position: Machine Learning Engineering Lead


• Job Type Full Time , Remote


• Qualification MBA/MSc/MA , PhD/Fellowship


• Experience 5 years


• Location Not specified


• Job Field ICT / Computer 
  

About the Role

• Andela’s two-sided marketplace is a multifaceted hub of experienced talent and leading companies with exciting challenges related to pricing, matching, marketplace health, go-to-market campaigns, and many others.


• Data Science (DS) is a key weapon at Andela to attack these problems. We employ a wide variety of approaches including but not limited to system dynamics and simulation, machine learning (ML) on both structured and unstructured data, recommendation algorithms, and combinatorial optimization.


• The ML Engineering Lead at Andela will take primary ownership of deploying all ML and DS algorithms on Andela’s product marketplace 


• You will be defining solution architecture and playing an active role in algorithm deployment with a razor-sharp focus on minimizing latency, managing computation resources effectively and guiding the execution of this model in collaboration with the Andela data, engineering and product teams.

Responsibilities

• Work with the Principal Data Scientist, product managers and platform engineers to identify the right delivery approach for algorithms.


• Develop ML Architecture for each solution to meet product and system performance requirements.


• Deploy the solution in production in collaboration with the data, engineering and product teams and build appropriate monitoring systems.

Requirements

• Graduate Degree (M.Sc / Ph.D.) in Engineering / Information Systems / Applied Science or equivalent practical experience.


• High fluency in ML algorithms and other data science approaches.


• Minimum of 5 years of work experience deploying algorithms in production for impactful B2B and/or B2C products.


• Flexibility in working with a variety of data science approaches.


• Expertise in one or more object-oriented languages such as Python or Java.


• Experience with cloud-based environments such as AWS, GCP or Azure.

Benefits

• Fully Remote work culture - we hire globally and all of our roles are fully remote!


• Bring your own device stipend - buy your own laptop with funds from Andela


• Quarterly work from home stipends


• Flexible working hours


• Equity (as a part of compensation package)


• Healthcare, 401k / pension (US only)


• Andela Affinity Groups


• Growth & development paths


• Generous Paid Time Off, Parental Leave, Compassionate Leave


• And more to come! We're on a journey to reimagine global benefits at Andela.