SSE-2- (Java/Python/Fast API)- ML Platfrom Engg

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India
Software • Consulting
The Role

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.

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The Company
Chennai
7,456 Employees
Year Founded: 1980

What We Do

Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries.
With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology

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