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Machine Learning Solutions Architect

2 months ago

Bengaluru, Karnataka, India Tiger Analytics Full time
About Us

Tiger Analytics is a leading advanced analytics consulting and engineering services firm, trusted by Fortune companies for data-driven business value.

We bring together Data Science, Machine Learning, and AI expertise with innovative engineering techniques to deliver scalable data platforms and products.

Job Description

This role leads cross-functional technical teams across distributed systems, program management, app engineering, and product teams in designing, developing, and delivering machine learning enabled end-to-end pipelines and solutions.

  • Design and architect microservices for the full Machine Learning lifecycle from Development to Deployment.
  • Build scalable microservices architectures handling high volume data requests and high concurrency.
  • Architect solutions for High Availability, Low Latency, and High Throughput.
  • Improve system reliability, troubleshoot, and investigate issues.
  • Develop reusable patterns, libraries, and test cases for reliable and scalable applications.
  • Write high-performance, reliable, and maintainable code.
  • Interface with interactive services and clients including web and mobile applications.
Required Skills and QualificationsCore
  • Experience leading teams and handling customer stakeholders.
  • Hands-on experience building scalable solutions using microservices and deploying ML algorithms in production.
  • Excellent programming skills in Python, with good understanding of Go.
  • Test-driven development experience.
  • Expert knowledge of building and maintaining in production.
  • Cloud experience in AWS/Azure/Google is mandatory.
Frontend
  • Exposure to frontend frameworks like React/Angular, having led teams and built applications.
  • Experience creating reusable components and libraries.
  • Experience optimising performance of web applications.
  • Mobile application development exposure is a plus.
Database
  • Proficient with SQL, RDBMS such as Postgres, MySQL, SQL Server, Oracle, and/or NoSQL DBMSs like Mongo DB.
  • Familiarity with ORM libraries like SQLAlchemy.
  • Experience optimising query performance.
Backend
  • Experience in server-side/full cycle product development in a production environment in Python.
  • Hands-on experience in Python server frameworks like Django/Flask/FastAPI.
  • Strong testing and debugging skills.
  • Strong trouble-shooting skills spanning systems (Linux), network, and application.
  • Understanding of threading limitations of Python and multi-process architecture.
CICD
  • Good knowledge of software engineering practices like version control (GIT) and DevOps.
  • Understanding of ML/AI Pipeline & Development life cycle & tools, MLOps Knowledge.
Project Management
  • Leveraging Agile and Lean software development methodologies to drive reliability upstream into the product development life cycle.
Compensation

The estimated salary for this position is around $120,000 - $180,000 per annum, depending on qualifications and experience. Your designation will be commensurate with expertise and experience.