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Senior Software Engineer (Tech Lead, MLOps, AI Platform)
Phaidra
Engineering & Technology
IT & Telecoms
GHS
Confidential
1 month ago
Job Summary
The AI Platform team you are joining is responsible for building the core platform that powers model training, inference and decision making in our products. Furthermore the team owns MLOps and the services hosting our AI capabilities. Productionizing results from Research, as well as extending our systems and providing support according to our customer needs fall into team responsibilities as well. You will join this team as an experienced engineer with a focus on MLOps solutions to grow our expertise in that area, but also contribute as a software engineer more widely in the team.
- Minimum Qualification: Degree
- Experience Level: Senior level
- Experience Length: 7 years
Job Description/Requirements
Responsibilities
In particular, you will:
- Design, build and lead the MLOps initiatives and vision for the AI Platform to strengthen automation, orchestration, versioning, observability, monitoring and collaboration for the platform.
- Build and design scalable components for the AI Platform to allow high throughput training and inference for RL agents doing realtime inference for autonomous control of industrial systems.
- Contribute to the design and implementation of the product backend by writing REST & gRPC API services and scalable event-driven backend applications.
- Design clear, extensible software interfaces for the team's customers and maintain a high release quality bar.
- Design and optimize data storage & retrieval mechanisms for high throughput, security & ease of access.
- Perform DevOps duties of CI/CD, Release & Deployment management.
- Be a part of our global production oncall team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.
- Lead cross-functional initiatives collaborating with engineers, product managers and TPM across teams.
- Mentor your peers and be a technical role-model in the team.
Key Qualifications
- 7+ years of work experience.
- Bachelors or Masters in Computer Science, or equivalent experience.
- Strong experience on designing and implementing MLOps solutions for AI production systems
- Expertise with production Software Engineering - relational and non-relational data modelling, micro-services, understanding of event driven systems, etc.
- Strong experience building large scale multi-tenant systems with high availability, fault tolerance, performance tuning, monitoring, and statistics/metrics collection.
- Strong expertise in Python and Cloud environments
- Good grasp of Machine Learning (especially Deep Learning) fundamentals.
- Ability to collaborate and communicate effectively in an all-remote setting
- Doing your work with curiosity, ownership, transparency & directness, outcome orientation, and customer empathy.
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