Modelling & Data Science Manager

The purpose of this role is to lead and manage customer analysis deep dives, execute the strategies outlined by senior leadership, and manage the day-to-day communication with clients.

Job Description : Key Responsibilities

Model Development & Deployment

Extensive Experience in building Information retrieval systems and relevance engineering

Developing algorithms and building predictive models from the ground up, using machine learning and deep learning frameworks

Build AI models from scratch and help product managers and other stakeholders with analysis and implementation

Transform machine learning models into APIs that can be integrated with other applications Training for AI engineers

At least 5 years of experience putting Machine Learning models into production AI Engineer Job Description Template

Required Technical Skills

Programming Languages

Python, SQL

Machine Learning & AI Technologies

Advanced knowledge in Machine Learning models and Large Language Models (LLM), using langchain or a similar tool

Experience in implementing LLMs using vector bases and Retrieval-Augmented Generation (RAG), as well as tuning models, building Knowledge Graphs

Cloud Platforms & Tools

Azure, AWS, or Google Cloud and AI Stack

Data Technologies

Big data technologies : Apache Spark, Hadoop, and MongoDB

Mathematical Foundation

Probability, statistics, and linear algebra

Experience Requirements

At least 5 years of experience putting Machine Learning models into production, 4 years of relevant experience.

Location : Bengaluru

Brand : Merkle

Time Type : Full time

Contract Type : Permanent

Skills Required

Machine Learning, Hadoop, Apache Spark, Statistics, probability , Sql, Google Cloud, Mongodb, Azure, linear algebra, Python, Aws