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Senior / Lead - MLE (Fullstack)

3 months ago

Bengaluru, Karnataka, India Tiger Analytics Full time
Job Description

Senior / Lead - MLE (Fullstack)

Bangalore | Chennai | Hyderabad

Tiger Analytics is one of the fastest growing advanced analytics consulting and Engineering services firm. We are the trusted analytics partner for several Fortune companies, enabling them to generate business value from data.

Our consultants bring deep expertise in Data Science, Machine Learning and Al, and our engineers bring innovative engineering techniques to enable scalable data platforms and data products that are insights driven.

Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

About the role


Lead cross-functional technical teams across distributed systems, program management, app engineering and product teams while working on all aspects of design, development and delivery of machine learning enabled end-to-end pipelines and solutions.

Design and architect microservices to support the full Machine learning Lifecycle right from Development to Deployment
Build scalable micro services architectures than can handle high volume data requests and high concurrency
Architect solutions for High Availability, Low Latency and High Throughput.
Improve system reliability-Troubleshoot and investigate any identified issues
Build reusable patterns, libraries, and perfect test cases to introduce highly reliable and scalable application platforms
Writing high-performance, reliable, and maintainable code.
Interface with various interactive services and clients including web and mobile applications.
Desired Skills and Experience

Core

Experience in leading a team as well as handling customer stakeholders
Hands on experience in building scalable solutions using microservices & deployment of ML Algorithms in production
Excellent programming skills in Python, a good understanding in Go is a plus.
Experience in Test driven Development
Expert knowledge of building and maintaining in Production
Experience in cloud - AWS/Azure/Google is mandatory
Frontend

Exposure to Front end frameworks like React/Angular having led teams and built applications
Experience is creating reusable components and libraries
Experience is optimising the performance of the web applications
Exposure to mobile application development is a plus
Database


Proficient with SQL, RDBMS such as Postgres, MySQL, SQL Server, Oracle and/or experience with NoSQL DBMSs such as Mongo DB.

Familiarity with some ORM (Object Relational Mapper) libraries like SQLAlchemy
Experience in optimising the performance of the queries.
Backend

Experience in server-side/back-end 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 that span systems (Linux), network, and application
Understanding of the threading limitations of Python, and multi-process architecture.
CI/CD

Good knowledge of software engineering practices like version control (GIT) and Dev ops
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.

We believe in equal opportunities for all and invite you to come join us as we build the world's best AI and advanced analytics team.

Our compensation packages are competitive and among the best in the industry. Your designation will be commensurate with expertise and experience.