AI Engineer
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:
DGS India - Pune - Kharadi EON Free Zone
Brand:
Merkle
Time Type:
Full time
Contract Type:
Permanent
We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next.
