Description

Role & responsibilities Responsible for mentoring and managing large Data science teams As thought leader and SME within the organization and industry, the candidate will be represent organization on various platforms, publish research papers / blogs. Work closely with functional heads, product and tech teams to lead project and identify dependencies ahead of time and work with teams to ensure smooth delivery across teams. Identify the most appropriate and cutting edge machine learning tools for various supervised and unsupervised tasks in the NLP, deep learning, semantic search, LTR space for building highly accurate and scalable recommender systems and information retrieval solutions Develop algorithms and build systems to extract seemingly unseen trends and information from user content such as resumes, job description and profile information available through various sources and in different modalities such as numeric, structure and unstructured texts and images. Build intelligent systems to capture and model the vast amount of behavior data to enrich the content understanding with behavioral information. Identify potential data-driven machine learning solutions to business challenges that improve user experience through personalization and prediction of user preferences. Design solutions for scalable and real-time performance on a significantly large data set. Use big data technologies to optimally use infrastructure and improve performance Ideate, formulate, create metrics and execute on such problems and get buy in from business. Identify cross-application reuse opportunities to optimise the time and infrastructure costs of deployments Preferred candidate profile Team management experience of 5+ years Very strong fundamental understanding and research experience in Machine Learning / Deep Learning / NLP / Information Retrieval / Artificial Intelligence areas Strong applied knowledge of machine learning in solving real-world business problems with a significantly broad number of algorithms covering the landscape of classification, regression; discriminative, generative; supervised, unsupervised, semi-supervised; linear and non-linear dimensionality reduction, feature-extraction, feature selection, feature-learning. Industry experience in applying a variety of machine learning solutions to real-world large-scale data to build intelligent systems An excellent problem solving skills with a research oriented approach Ability to capture, manage, create pipelines and process Big Data Ability to influence multiple stakeholders and deliver solutions in a given time frame. Why Join us: This is a unique opportunity to work on innovative and disruptive technologies that are shaping the future of the industry. We are looking for candidates who are willing to work passionately in a fast paced environment and are ready to enhance their skills by learning something new. Being a part ofthe Info Edge team, you will be engaged in innovations, product development, integration with mobile and social media, technology, research and development, quality assurance, sales and marketing. To learn more about Info Edge visit http://www.infoedge.in

Role and Responsibilities

• Role & responsibilities Responsible for mentoring and managing large Data science teams As thought leader and SME within the organization and industry, the candidate will be represent organization on various platforms, publish research papers / blogs. Work closely with functional heads, product and tech teams to lead project and identify dependencies ahead of time and work with teams to ensure smooth delivery across teams. Identify the most appropriate and cutting edge machine learning tools for various supervised and unsupervised tasks in the NLP, deep learning, semantic search, LTR space for building highly accurate and scalable recommender systems and information retrieval solutions Develop algorithms and build systems to extract seemingly unseen trends and information from user content such as resumes, job description and profile information available through various sources and in different modalities such as numeric, structure and unstructured texts and images. Build intelligent systems to capture and model the vast amount of behavior data to enrich the content understanding with behavioral information. Identify potential data-driven machine learning solutions to business challenges that improve user experience through personalization and prediction of user preferences. Design solutions for scalable and real-time performance on a significantly large data set. Use big data technologies to optimally use infrastructure and improve performance Ideate, formulate, create metrics and execute on such problems and get buy in from business. Identify cross-application reuse opportunities to optimise the time and infrastructure costs of deployments Preferred candidate profile Team management experience of 5+ years Very strong fundamental understanding and research experience in Machine Learning / Deep Learning / NLP / Information Retrieval / Artificial Intelligence areas Strong applied knowledge of machine learning in solving real-world business problems with a significantly broad number of algorithms covering the landscape of classification, regression; discriminative, generative; supervised, unsupervised, semi-supervised; linear and non-linear dimensionality reduction, feature-extraction, feature selection, feature-learning. Industry experience in applying a variety of machine learning solutions to real-world large-scale data to build intelligent systems An excellent problem solving skills with a research oriented approach Ability to capture, manage, create pipelines and process Big Data Ability to influence multiple stakeholders and deliver solutions in a given time frame. Why Join us: This is a unique opportunity to work on innovative and disruptive technologies that are shaping the future of the industry. We are looking for candidates who are willing to work passionately in a fast paced environment and are ready to enhance their skills by learning something new. Being a part ofthe Info Edge team, you will be engaged in innovations, product development, integration with mobile and social media, technology, research and development, quality assurance, sales and marketing. To learn more about Info Edge visit http://www.infoedge.in