Job Description : Machine Learning Engineer
Vision :
To enhance the machine learning and data science ecosystem at Shiprocket by designing and developing robust machine learning and deep learning applications and systems :
- to solve complex problems with multilayered data set
- to build efficient artificial intelligence systems
- to create predictive automated workflows
Role :
The role is to work with the Engineering and Data Science team to study, develop and improve machine learning and artificial intelligence systems and applications. It requires solving complex business problems consisting of multiple products used by different internal and external users. Collaboration is expected with multiple stakeholders including data scientists, data engineers, system architects, and business teams.
Responsibilities :
Study, develop and improve data science prototypes and apply machine learning algorithms and toolsDesign and develop applications backed by machine learning, LLM, and artificial intelligenceImplement machine learning algorithms to create end-to-end scalable solutions (batched and real-time)Perform monitoring, logging, A / B testing, and load testing on implemented solutionsExtend existing ML / AI libraries and frameworksFollow, contribute, and promote best practices in machine learning and artificial engineeringKnowledge sharing and mentoring the teamsAutonomy :
Create a technology roadmap for the machine learning ecosystemEnhance machine learning capabilitiesMotivate and train team membersIdentify new technologies and build and present rapid prototypesRequirements :
Graduate / Postgraduate degree in Engineering, Statistics, or Mathematics2 - 4 Years of hands-on experience as a Machine Learning Engineer or similar roleStrong working knowledge of SQL and NoSQL databasesStrong understanding of data structures, data modeling, and system architectureHands-on experience in writing robust code in Python or Java(ref : hirist.tech)