Lead Data Scientist (BB-CBDA5)
Found in: Talent IN
Description:Lead Data ScientistWho we are?Searce is a niche Cloud Consulting business with futuristic tech DNA.
We do new-age tech to realize the Next in the Now for our Clients.
We specialize in Cloud Data Engineering, AI/Machine Learning, and Advanced Cloud infra techs such as Anthos and Kubernetes.
We are one of the top & fastest-growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to the cloud.How we work?Its all about being Happier first.
And the rest follows.
Searce work culture is defined by HAPPIER.Humble: Happy people dont carry ego around.
We listen to understand; not to respond.Adaptable: We are comfortable with uncertainty.
And we accept changes well.
As thats what life's about.Positive: We are super positive about work & life in general.
We love to forget and forgive.
We dont hold grudges.
We dont have time or adequate space for it.Passionate: We are as passionate about the great street-food vendor across the street as about Teslas new model and so on.
Passion is what drives us to work and makes us deliver the quality we deliver.Innovative: Innovate or Die.
We love to challenge the status quo.Experimental: We encourage curiosity & making mistakes.Responsible: Driven.
We own it.We welcome *really unconventional* creative thinkers who can work in an agile, flexibleenvironment.
We are a flat organization with unlimited growth opportunities, and smallteam sizes wherein flexibility is a must, mistakes are encouraged, creativity is rewarded,and excitement is required.Introduction :As a Lead Data Scientist, the candidate will help develop and enhance the algorithms andtechnology that powers our unique system.
This role covers a wide range of challenges,from developing new models using pre-existing components to enable current systems tobe more intelligent.
You should be able to train models using existing data and use them inthe most creative manner to deliver the smartest experience to customers.
You will have todevelop sophisticated enterprise/cloud technology applications that push the threshold ofintelligence in machines.Working on multiple projects at a time, you maintain a consistently high level of attentionto detail while finding creative ways to provide analytical insights.
You thrive in a fast,high-energy environment and are able to balance multiple projects in real-time.
The thrill ofthe next big challenge drives you, and when faced with an obstacle, you find cleversolutions.
You must have the ability and interest to work on a range of different types ofprojects and business processes and must have a background that demonstrates thisAbility.Your bucket of undertaking :Collaborate with team members to develop new models to be used forÂ Â Â Â Â Â classification problemsResponsible for software profiling, performance tuning and analysis, and otherÂ Â Â Â Â Â general software engineering tasksUse independent judgment to take existing data and build new models from itCollaborate and provide technical guidanceComing up with new ideas, rapid prototyping, and converting prototypes intoÂ Â Â Â Â Â scalable productsConducting experiments to assess the accuracy and recall of languageÂ Â Â Â Â Â processing modules and to study the effect of such experiencesImproving existing models and creating self-learning systems.Stakeholder management and leadershipDecision making and problem-solvingAccomplishment Set :Extensive experience with Hadoop and Machine learning algorithmsExposure to Deep Learning, Neural Networks, or related fields and a strongÂ Â Â Â Â Â interest and desire to pursue themExperience in Natural Language Processing, Computer Vision, Machine LearningÂ Â Â Â Â Â or Machine Intelligence (Artificial Intelligence)Passion for solving NLP problemsExperience with specialized tools and project for working with natural languageÂ Â Â Â Â Â processing Programming experience in PythonKnowledge of machine learning frameworks like Tensorflow, PytorchExperience with software version control systems like GithubFast learner and be able to work independently as well as in a team environmentÂ Â Â Â Â Â with good written and verbal communication skillsEducation and Experience :B.
Tech / Masters in Computer ScienceStrong in academics and good aptitudeExcellent communication skills with a flair to learn quickly4-8 years of relevant experienceResearch and implement novel machine learning and statistical approachesPrior exposure to product development would be an added advantage Skills:- Data Science, Python, Deep Learning, Machine Learning (ML), TensorFlow, Keras and Neural networks
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