Hanu Software Solutions | Jobs | Hiring Data Scientist || Hanu Software | BigDataKB.com | 02-02-22

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    Job Location: Delhi / NCR

    We are looking for a highly motivated and passionate Principal Data Scientist for Advanced Analytics/Artificial Intelligence, to drive high priority customer initiatives on the Microsoft Azure Platform in collaboration with customers. This is a customer facing role, owning overall Solution building, GTM, and Pre-Sales activities. You will be involved in incubating solutions and products for infusing AI in industry solutions, from design to production. You will be required to apply technical knowledge to architect solutions that meet business and IT needs, create Data Platform, AA/AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics and AI technologies where appropriate (e.g. Azure ML, ML Server, BOT framework, Cognitive Services, Big Data, Data Lake, Azure Databricks, etc.)

    You will be a part of core Innovation engine of Hanu, by continuously anticipating the white spaces and build service offerings in data, Analytics and AI solutions for global markets.

    As a part of above core objective, you will work in close collaboration with various GEO sales and delivery heads to launch or refine cloud offerings in global markets, solutioning, development.

    Role: Principal Data Scientist

    Experience: 14-21 years

    Roles and Responsibilities

    • 12+ Years of experience in ML, Neural Networks, Deep Learning in industry/academia. Must have delivered solutions from inception to delivery, with experience in customizing existing algorithms or develop new algorithms.
    • Proficiency in one scripting language (Python, NodeJS, Ruby, Perl)
    • Strong theoretical and algorithmic knowledge with the ability to apply advanced knowledge on real world challenges
    • Prior experience in Knowledge Graph, Search Relevance and Ranking is a huge plus
    • Experience working with deploying of machine learning models.
    • Experience with deep learning libraries.
    • Experience working with real-world noisy data.
    • Knowledge of Azure Cognitive Services is an added advantage
    • Demonstrable experience with software engineering principles, parallel and distributed computing, statistics, machine learning, cloud technologies like Azure, AWS, Google Cloud, IaaS, PaaS and SaaS. Azure Preferred

    Apply Here

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