2 Tunning Jobs

Lead a small group of DS developers incollaborate/streamlinedata science work with product, BA, MLOps. Cover tasks in DS modeldevelopment/redevelopmentand support the deployment into multiple markets for production purpose. Leading the collaboration with MLOps to understand the need for industrialization, ensure smooth transition from DS development to industrialization by providing sufficient DS support. Codedevelopment/redevelopmentplanning, provide direct support to DS developers in the execution. Leading model tunning. Ensure proper code standard are enforced, complete documentation is created and strong code management through version control. Leading regular code review together with the data scientist project lead. Leading the testing/evaluation planning with the data scientist project lead. Establishing model evaluation and validation framework in the context of deployment. Creating standard test report structure. Ensure production grade code is developed and maintained for quick roll-out purpose. High level of transparency and replicability is achieved. Leading the planning of RCA for any issue identified. Creating the monitoring plan for production. Support the activities in the UAT with the end users. Working as the contingency resource for development to ensure timely delivery. Ensure a common code base is created for efficient roll-out in new market with highly modular architecture, well designed data abstraction, high configurability and high level of parameterization. Technical Skills: Brings 3+ years of deep data science experience. Strong knowledge of machine learning and statistical modeling techniques in a in a clouds-based environment such as GCP, Azure, Amazon, Databricks Experience with programming languages such as Python, R, Spark Strong understanding of data structures, algorithms, and software design principles, highly sensitive to algorithm complexity. Experience with GCP platforms and services such as Big Query, Cloud ML Engine, and Cloud Storage Experience in configuring and setting up the version control on Code, Data, and Machine Learning Models using GitHub. Strong experience in development planning. Good knowledge in coding standard, building re-useable services. Experience in end-to-end data science project delivery Non-Technical Skills: Solution Designing Critical Thinking Ecommerce Domain Understanding (Good to Have) EDUCATION: B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent. Recommended: completion of Fractal Data Science Professional Certificate

Lead a small group of DS developers incollaborate/streamlinedata science work with product, BA, MLOps. Cover tasks in DS modeldevelopment/redevelopmentand support the deployment into multiple markets for production purpose. Leading the collaboration with MLOps to understand the need for industrialization, ensure smooth transition from DS development to industrialization by providing sufficient DS support. Codedevelopment/redevelopmentplanning, provide direct support to DS developers in the execution. Leading model tunning. Ensure proper code standard are enforced, complete documentation is created and strong code management through version control. Leading regular code review together with the data scientist project lead. Leading the testing/evaluation planning with the data scientist project lead. Establishing model evaluation and validation framework in the context of deployment. Creating standard test report structure. Ensure production grade code is developed and maintained for quick roll-out purpose. High level of transparency and replicability is achieved. Leading the planning of RCA for any issue identified. Creating the monitoring plan for production. Support the activities in the UAT with the end users. Working as the contingency resource for development to ensure timely delivery. Ensure a common code base is created for efficient roll-out in new market with highly modular architecture, well designed data abstraction, high configurability and high level of parameterization. Technical Skills: Brings 3+ years of deep data science experience. Strong knowledge of machine learning and statistical modeling techniques in a in a clouds-based environment such as GCP, Azure, Amazon, Databricks Experience with programming languages such as Python, R, Spark Strong understanding of data structures, algorithms, and software design principles, highly sensitive to algorithm complexity. Experience with GCP platforms and services such as Big Query, Cloud ML Engine, and Cloud Storage Experience in configuring and setting up the version control on Code, Data, and Machine Learning Models using GitHub. Strong experience in development planning. Good knowledge in coding standard, building re-useable services. Experience in end-to-end data science project delivery Non-Technical Skills: Solution Designing Critical Thinking Ecommerce Domain Understanding (Good to Have) EDUCATION: B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent. Recommended: completion of Fractal Data Science Professional Certificate