Apta Talenta
Location
Mumbai | India
Job description
We are looking for someone to lead a team of ML/AI scientists, analysts and data engineers to solve the toughest problems in food tech today. The role would require someone who has led similar teams and developed high-quality data, ML and AI solutions at scale. We are looking for a leader to guide an extremely talented pool of scientists and analysts and take their work and research to the next level to power our business. .- Machine Learning/Data Science - Expert-level understanding of Machine learning (regression, classification, random forest, k nearest etc.), Deep Learning (Neural Networks, Tensorflow/Keras etc.), AI, and Statistics. Problem statements would be quite deep now e.g. current forecasting model has been built to improve accuracy from 50 to 80%, now the problem statement would be how to improve forecasting accuracy from 80 to 90%. We expect you to be excellent in writing efficient programs (Python/R/Java, Optimized SQLs, databases etc.) and problem-solving skills.- Data Analytics - Expert understanding of data visualization (Reporting/MIS/BI) Tools, SQLs, ETLs. Good understanding of databases and data stores to define the right long-term strategy for data democratization across the org for data-driven decision-making.- Data Platform Engineering - Good understanding of big data technologies such as Spark, Hadoop, Teradata, Storage systems, Streaming APIs, and so forth- Stakeholder Management - This role will require a high level of stakeholder engagement, including leadership stakeholder management. As the ML/AI and Data Science team works horizontally, there are many competing priorities. The right prioritization of impactful projects and the ability to manage team bandwidth accordingly is a key skill.- ML & Data Evangelization - As an organization, we are also trying to improve overall data, ML and AI fluency among all our verticals, such that stakeholders can proactively identify areas in their business where better data visibility or ML solutions can make a difference and also understand the right way to engage the ML/AI team. (ref:hirist.tech)
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