The role involves collaborating with data scientists and ML engineers to build and maintain backend systems for machine learning models. Responsibilities include designing APIs, optimizing backend infrastructure for ML workloads, and managing CI/CD pipelines to ensure efficient deployment and operation of services.
Important Information
Location: PAN Inda
Experience: 5+ Years
Job Mode: Full-time
Work Mode: Remote
Job Summary:
- Collaborate with data scientists and machine learning engineers to build backend systems and integrate models into them.
- Collaborate with cross functional teams of data scientists, frontend engineers, and product managers to deliver end-to-end solutions.
- Design, implement, and maintain backend services required for hosting, serving, or connecting to machine learning models or AI-powered applications.
- Design and implement APIs to facilitate communication between client systems and machine learning components, and to expose machine learning functionalities to other areas of the site.
- Ensure APIs are well-documented and provide a clear interface for interacting with components of the machine learning platform.
- Optimize backend infrastructure to handle varying machine learning workloads efficiently at scale.
- Develop and maintain CI/CD pipelines for automated testing, deployment, and monitoring of systems and infrastructure.
Qualifications:
- Computer Science degree or equivalent experience
- At least 5 years’ experience of commercial software development.
- Willingness and ability to take on new projects and technologies.
- Ability to break down complex problems into simple solutions.
- Strong analytical skills and desire to write clean, correct and efficient code.
- Sense of ownership, urgency and pride in your work.
- Familiarity with microservice architecture and principles
- Experience building microservices with Java or Python
- Hands-on experience building RESTful APIs
- Strong understanding of database systems and proficiency in SQL
Nice to have:
- Exposure to machine learning platforms and practices
- Experience with Spring Boot or FastAPI
- Experience with cloud platforms (e.g. AWS, Azure, GCP)
- Experience with infrastructure as code tools like CDK or Terraform
- Experience with containerization technologies (e.g. Docker)
- Experience with container services like Kubernetes or ECS
- Experience with distributed computing such as Snowflake or Apache Spark
About Encora
Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.
At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Top Skills
Java
Python
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