Modelling & Data Science Manager

Job Description

Role Overview:As an AI Engineer at Merkle, your main responsibility will be to lead and manage customer analysis deep dives, execute the strategies outlined by senior leadership, and manage day-to-day communication with clients.Key Responsibilities:- Develop algorithms and build predictive models from the ground up, using machine learning and deep learning frameworks.- Build AI models from scratch and assist product managers and other stakeholders with analysis and implementation.- Transform machine learning models into APIs that can be integrated with other applications.- Provide training for AI engineers on model development and deployment.- Utilize advanced knowledge in Machine Learning models and Large Language Models (LLM), using langchain or a similar tool.- Implement LLMs using vector bases and Retrieval-Augmented Generation (RAG), as well as tuning models and building Knowledge Graphs.- Work with cloud platforms such as Azure, AWS, or Google Cloud and AI Stack.- Utilize programming languages like Python and SQL for model development.- Have experience with big data technologies such as Apache Spark, Hadoop, and MongoDB.- Strong foundation in mathematical concepts including probability, statistics, and linear algebra.Qualification Required:- At least 5 years of experience putting Machine Learning models into production.- Extensive experience in building Information retrieval systems and relevance engineering.- Minimum of 4 years of relevant experience.- Proficiency in Python, SQL, and cloud platforms like Azure, AWS, or Google Cloud.- Strong background in mathematical foundations including probability, statistics, and linear algebra.Location:- BengaluruBrand:- MerkleTime Type:- Full timeContract Type:- Permanent Role Overview:As an AI Engineer at Merkle, your main responsibility will be to lead and manage customer analysis deep dives, execute the strategies outlined by senior leadership, and manage day-to-day communication with clients.Key Responsibilities:- Develop algorithms and build predictive models from the ground up, using machine learning and deep learning frameworks.- Build AI models from scratch and assist product managers and other stakeholders with analysis and implementation.- Transform machine learning models into APIs that can be integrated with other applications.- Provide training for AI engineers on model development and deployment.- Utilize advanced knowledge in Machine Learning models and Large Language Models (LLM), using langchain or a similar tool.- Implement LLMs using vector bases and Retrieval-Augmented Generation (RAG), as well as tuning models and building Knowledge Graphs.- Work with cloud platforms such as Azure, AWS, or Google Cloud and AI Stack.- Utilize programming languages like Python and SQL for model development.- Have experience with big data technologies such as Apache Spark, Hadoop, and MongoDB.- Strong foundation in mathematical concepts including probability, statistics, and linear algebra.Qualification Required:- At least 5 years of experience putting Machine Learning models into production.- Extensive experience in building Information retrieval systems and relevance engineering.- Minimum of 4 years of relevant experience.- Proficiency in Python, SQL, and cloud platforms like Azure, AWS, or Google Cloud.- Strong background in mathematical foundations including probability, statistics, and linear algebra.Location:- BengaluruBrand:- MerkleTime Type:- Full timeContract Type:- Permanent

Keyskills :
PythonSQLMachine LearningDeep LearningAWSHadoopMongoDBProbabilityStatisticsLinear AlgebraInformation Retrieval SystemsRelevance EngineeringAI ModelsAPI IntegrationMachine Learning ModelsLarge Language Models LLMLangchainRetrievalAugmented