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      • bengaluru / bangalore
      • permanent
      Job DescriptionWe are in the exciting and cutting-edge space of autonomous driving. We are looking for passionate and experienced engineers who would join us in this journey and design algorithms fit for Level 3 – Level 5 autonomous systemsHere’s what to expect1.You are developing video perception algorithms for unsolved problems in the technology area – perception for autonomous drive vehicles.2.You have to explain why something works or not using data. And what next for the things not working with the reduced cost of labelling.3.You have to find that elusive data through innovative algorithms, Your job would involve1.Looking at the nature of the data2.Current AI/DL algorithm performance3.Derive insights or patterns in failures4.Define a hypothesis for the solution making.5.Define Experiments for hypothesis testing6.Define/Review the techniques/methods in deep learning for experiments7.Analyze the results of experiments8.Define the next set of data or experiments forward 9.Define the targets for the current sprint10.Review, Agree on the experiments11.Ensure delivery with the right process for qualitySkills that we would love you to have, and which you will definitely have after working with us!1.Intuitive understanding of the DL math, model behaviors, techniques already available in open world2.TensorFlow, Python, Pandas, Numpy, DASH, Jupyter notebook, etc..3.Most importantly – data aptitude QualificationsAtleast a Bachelors/Masters of Engineering in Computer Science or Electrical Sciences or related areas.•Relevant experience of 2-8 years, in Computer Vision(AI/Deep Learning based algorithms)•You have an agile mindset•Strong communication skills
      Job DescriptionWe are in the exciting and cutting-edge space of autonomous driving. We are looking for passionate and experienced engineers who would join us in this journey and design algorithms fit for Level 3 – Level 5 autonomous systemsHere’s what to expect1.You are developing video perception algorithms for unsolved problems in the technology area – perception for autonomous drive vehicles.2.You have to explain why something works or not using data. And what next for the things not working with the reduced cost of labelling.3.You have to find that elusive data through innovative algorithms, Your job would involve1.Looking at the nature of the data2.Current AI/DL algorithm performance3.Derive insights or patterns in failures4.Define a hypothesis for the solution making.5.Define Experiments for hypothesis testing6.Define/Review the techniques/methods in deep learning for experiments7.Analyze the results of experiments8.Define the next set of data or experiments forward 9.Define the targets for the current sprint10.Review, Agree on the experiments11.Ensure delivery with the right process for qualitySkills that we would love you to have, and which you will definitely have after working with us!1.Intuitive understanding of the DL math, model behaviors, techniques already available in open world2.TensorFlow, Python, Pandas, Numpy, DASH, Jupyter notebook, etc..3.Most importantly – data aptitude QualificationsAtleast a Bachelors/Masters of Engineering in Computer Science or Electrical Sciences or related areas.•Relevant experience of 2-8 years, in Computer Vision(AI/Deep Learning based algorithms)•You have an agile mindset•Strong communication skills
      • bengaluru / bangalore
      • permanent
      • 12 months
      What you'll doBuild a long-term vision on how we can rethink our customer acquisition and engagement strategies leveraging data in our decision making.Drive exploratory analysis to understand the ecosystem, user behavior; identifying new levers to help move metrics and build models of user behaviors for analysis and product enhancements.Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.Provide product leadership by sharing data-based recommendation to communicate state of business, root cause of change in metrics and experimentation results influencing product and business decisionImplement scalable machine learning algorithms that will be used in production on big data.Embark on exploratory data analysis projects to achieve better understanding of phenomena as well as to discover untapped areas of growth and optimization. Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.Help define and track the appropriate key metrics for specific projects. Design and run randomized controlled experiments, analyze the resulting data and communicate results with other teams.You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.What you'll need7+ years experience in data mining, predictive modeling, time series analysis, machine learning, Big Data methodologies, transformation and cleaning of both structured and unstructured data.Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.Strong problem solving and coding skills.Strong experience in leading cross-functional teams and projects from a technical and data science perspective.Solid knowledge of and experience with the payment channels, pay terms, banking and payments services, and the payments regulatory landscape, preferably in MENA regionSolid understanding of digital wallet use cases and potential risks associated with themFluency in English along with excellent oral and written communication skills.Proficiency and demonstrated experience in at least 2 of the following: Python, R, SQL, Spark, Hive.Demonstrated experience with database technologies (e.g. Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL) is a plus.Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skills is also a plus.Knowledge of Agile methodologies.Where you'll beThis role is part of a remote distributed team! This means you can be based in any of the countries where we currently have an engineering site. If you would like to join us in Dubai, Berlin, Poland, Pakistan, Egypt, Lebanon or Jordan, that's fine with us (Visa permitting)!Even though we are working remotely, we are strong believers in collaboration and the power of building social connections with our teams. For that reason, our offices are still open and provide plenty of collaboration-friendly spaces at times when teams need it or if you need a quiet space to work outside of home. You’ll be working in the location you’re hired from. Due to legal and compensation considerations, you will need to be based out of the country you’re hired from as your primary work location.  
      What you'll doBuild a long-term vision on how we can rethink our customer acquisition and engagement strategies leveraging data in our decision making.Drive exploratory analysis to understand the ecosystem, user behavior; identifying new levers to help move metrics and build models of user behaviors for analysis and product enhancements.Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.Provide product leadership by sharing data-based recommendation to communicate state of business, root cause of change in metrics and experimentation results influencing product and business decisionImplement scalable machine learning algorithms that will be used in production on big data.Embark on exploratory data analysis projects to achieve better understanding of phenomena as well as to discover untapped areas of growth and optimization. Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.Help define and track the appropriate key metrics for specific projects. Design and run randomized controlled experiments, analyze the resulting data and communicate results with other teams.You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.What you'll need7+ years experience in data mining, predictive modeling, time series analysis, machine learning, Big Data methodologies, transformation and cleaning of both structured and unstructured data.Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.Strong problem solving and coding skills.Strong experience in leading cross-functional teams and projects from a technical and data science perspective.Solid knowledge of and experience with the payment channels, pay terms, banking and payments services, and the payments regulatory landscape, preferably in MENA regionSolid understanding of digital wallet use cases and potential risks associated with themFluency in English along with excellent oral and written communication skills.Proficiency and demonstrated experience in at least 2 of the following: Python, R, SQL, Spark, Hive.Demonstrated experience with database technologies (e.g. Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL) is a plus.Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skills is also a plus.Knowledge of Agile methodologies.Where you'll beThis role is part of a remote distributed team! This means you can be based in any of the countries where we currently have an engineering site. If you would like to join us in Dubai, Berlin, Poland, Pakistan, Egypt, Lebanon or Jordan, that's fine with us (Visa permitting)!Even though we are working remotely, we are strong believers in collaboration and the power of building social connections with our teams. For that reason, our offices are still open and provide plenty of collaboration-friendly spaces at times when teams need it or if you need a quiet space to work outside of home. You’ll be working in the location you’re hired from. Due to legal and compensation considerations, you will need to be based out of the country you’re hired from as your primary work location.  
      • no data
      • permanent
      TITLE:BE1 - Data Scientist � AI / Deep Learning for Automated DrivingLOCATION(S):IndiaJOB DESCRIPTION: Job DescriptionWe are in the exciting and cutting-edge space of autonomous driving. We are looking for passionate and experienced engineers who would join us in this journey and design algorithms fit for Level 3 – Level 5 autonomous systemsHere’s what to expect1.You are developing video perception algorithms for unsolved problems in the technology area – perception for autonomous drive vehicles.2.You have to explain why something works or not using data. And what next for the things not working with the reduced cost of labelling.3.You have to find that elusive data through innovative algorithms, Your job would involve1.Looking at the nature of the data2.Current AI/DL algorithm performance3.Derive insights or patterns in failures4.Define a hypothesis for the solution making.5.Define Experiments for hypothesis testing6.Define/Review the techniques/methods in deep learning for experiments7.Analyze the results of experiments8.Define the next set of data or experiments forward 9.Define the targets for the current sprint10.Review, Agree on the experiments11.Ensure delivery with the right process for qualitySkills that we would love you to have, and which you will definitely have after working with us!1.Intuitive understanding of the DL math, model behaviors, techniques already available in open world2.TensorFlow, Python, Pandas, Numpy, DASH, Jupyter notebook, etc..3.Most importantly – data aptitude QualificationsAtleast a Bachelors/Masters of Engineering in Computer Science or Electrical Sciences or related areas.•Relevant experience of 2-8 years, in Computer Vision(AI/Deep Learning based algorithms)•You have an agile mindset•Strong communication skills
      TITLE:BE1 - Data Scientist � AI / Deep Learning for Automated DrivingLOCATION(S):IndiaJOB DESCRIPTION: Job DescriptionWe are in the exciting and cutting-edge space of autonomous driving. We are looking for passionate and experienced engineers who would join us in this journey and design algorithms fit for Level 3 – Level 5 autonomous systemsHere’s what to expect1.You are developing video perception algorithms for unsolved problems in the technology area – perception for autonomous drive vehicles.2.You have to explain why something works or not using data. And what next for the things not working with the reduced cost of labelling.3.You have to find that elusive data through innovative algorithms, Your job would involve1.Looking at the nature of the data2.Current AI/DL algorithm performance3.Derive insights or patterns in failures4.Define a hypothesis for the solution making.5.Define Experiments for hypothesis testing6.Define/Review the techniques/methods in deep learning for experiments7.Analyze the results of experiments8.Define the next set of data or experiments forward 9.Define the targets for the current sprint10.Review, Agree on the experiments11.Ensure delivery with the right process for qualitySkills that we would love you to have, and which you will definitely have after working with us!1.Intuitive understanding of the DL math, model behaviors, techniques already available in open world2.TensorFlow, Python, Pandas, Numpy, DASH, Jupyter notebook, etc..3.Most importantly – data aptitude QualificationsAtleast a Bachelors/Masters of Engineering in Computer Science or Electrical Sciences or related areas.•Relevant experience of 2-8 years, in Computer Vision(AI/Deep Learning based algorithms)•You have an agile mindset•Strong communication skills
      • bangalore, karnataka
      • permanent
      • 12
       Note : Do not look for a Data Scientist. Instead search for candidates who have experience only with Python Scripting ( Python ) and Database handling (MySQL/PostgreSQL/MongoDB).  Strong experience in Python to develop Automation scrips to read data from different data sources.Good experience in using backend frameworks such as Django and Django Rest Framework.Basic Knowledge on Unit Testing in python.Good Knowledge on Data Structure Design.Good Knowledge on GIT, Jenkins, Confluence and Jira.Solid understanding and hands-on experience in databases such as MySQL , PostgreSQL and MongoDB.Active Participation in the Requirement discussions and Review meetings.Basic Knowledge on AGILE Methodology4+ years of experience in Python, Power BI, MongoDB & SQL.Experience in Tool automation workflow.Experience in Version control tools like GIT.Experience in Jenkins.
       Note : Do not look for a Data Scientist. Instead search for candidates who have experience only with Python Scripting ( Python ) and Database handling (MySQL/PostgreSQL/MongoDB).  Strong experience in Python to develop Automation scrips to read data from different data sources.Good experience in using backend frameworks such as Django and Django Rest Framework.Basic Knowledge on Unit Testing in python.Good Knowledge on Data Structure Design.Good Knowledge on GIT, Jenkins, Confluence and Jira.Solid understanding and hands-on experience in databases such as MySQL , PostgreSQL and MongoDB.Active Participation in the Requirement discussions and Review meetings.Basic Knowledge on AGILE Methodology4+ years of experience in Python, Power BI, MongoDB & SQL.Experience in Tool automation workflow.Experience in Version control tools like GIT.Experience in Jenkins.
      • bangalore city
      • permanent
      Job Description : Principal Data Scientist (Big Data) Your mission, if you choose to accept, will be :● To initiate, develop and optimise POCs to solve healthcare problems● To ensure a constant flow of case studies/publications from acquired health datasets● To extract feedback for product and marketing in order to improve and optimize theirfunctions● To optimise and upgrade existing pipelines● To ensure performance on par with business requirements● To keep the software stack and implementation up to date with the latest advancements inthe industry Skills & experience needed to qualify :● Strong fundamentals in statistics and machine learning● 4+ Years of experience mining, handling and analysing big datasets● 2+ years of experience in managing a team of Data Scientists● Proven ability to solve complex problems (Case Studies/Publications/Patents)● 2+ years of experience working with Time series data● 3+ years of experience of working with TensorFlow/Keras/Pytorch● Experience of working with Spark/Hadoop and help setup pipelines● Excellent communication, sharp analytical abilities with proven design skills along with abilityto think critically of the current system and existing projects● Excellent scripting and programming skills with either off Python, Julia or R● Excellent data visualisation skills
      Job Description : Principal Data Scientist (Big Data) Your mission, if you choose to accept, will be :● To initiate, develop and optimise POCs to solve healthcare problems● To ensure a constant flow of case studies/publications from acquired health datasets● To extract feedback for product and marketing in order to improve and optimize theirfunctions● To optimise and upgrade existing pipelines● To ensure performance on par with business requirements● To keep the software stack and implementation up to date with the latest advancements inthe industry Skills & experience needed to qualify :● Strong fundamentals in statistics and machine learning● 4+ Years of experience mining, handling and analysing big datasets● 2+ years of experience in managing a team of Data Scientists● Proven ability to solve complex problems (Case Studies/Publications/Patents)● 2+ years of experience working with Time series data● 3+ years of experience of working with TensorFlow/Keras/Pytorch● Experience of working with Spark/Hadoop and help setup pipelines● Excellent communication, sharp analytical abilities with proven design skills along with abilityto think critically of the current system and existing projects● Excellent scripting and programming skills with either off Python, Julia or R● Excellent data visualisation skills
      • no data
      • permanent
      Comapny: a Danish MNC into Industril ProcessingLocation: ChennaiExprience: 4-10 Years  Purpose and Target Execute data analytics tasks related to Recovery and Power SMART solutions (RSP) in field of project delivery, product development, and life-cycle datalytics support.Find and generate new ideas for SMART product development. OrganizationalReporting Report to Director, Digitalization, Recovery and Power SMART business.This role requires also active cooperation and influencing in matrix throughout the delivery project organizations and Pulp & Paper digitalization team.AuthorizationDecision making on specified tasks on delivery and development projects as per process regulations ResponsibilitiesDelivery and support of data analytics projectsdata follow up with features and functions on SMART productsDevelop new data-driven features and functions for SMART productsCollaborate with engineering and product development teamsTasksIdentify valuable data sources and automate collection processesUndertake preprocessing of structured and unstructured dataAnalyze large amounts of information to discover trends and patternsBuild predictive models and machine-learning algorithmsCombine models and advanced process controlsPresent information using data visualization techniquesPropose solutions and strategies to business challengesProfessional Experience / EducationMaster’s degree in Data Science, Computer Science, Mathematics, or relevant fieldFluent written and spoken English skillsCompetencesProven experience as a Data Analyst or Data ScientistExperience in data mining and machine-learning Knowledge of Python (preferred) R, and SQL Analytical mind and business acumen, problem-solving attitudeExcellent communication and presentation skillsKnowledge of pulp & paper industry is an advantage
      Comapny: a Danish MNC into Industril ProcessingLocation: ChennaiExprience: 4-10 Years  Purpose and Target Execute data analytics tasks related to Recovery and Power SMART solutions (RSP) in field of project delivery, product development, and life-cycle datalytics support.Find and generate new ideas for SMART product development. OrganizationalReporting Report to Director, Digitalization, Recovery and Power SMART business.This role requires also active cooperation and influencing in matrix throughout the delivery project organizations and Pulp & Paper digitalization team.AuthorizationDecision making on specified tasks on delivery and development projects as per process regulations ResponsibilitiesDelivery and support of data analytics projectsdata follow up with features and functions on SMART productsDevelop new data-driven features and functions for SMART productsCollaborate with engineering and product development teamsTasksIdentify valuable data sources and automate collection processesUndertake preprocessing of structured and unstructured dataAnalyze large amounts of information to discover trends and patternsBuild predictive models and machine-learning algorithmsCombine models and advanced process controlsPresent information using data visualization techniquesPropose solutions and strategies to business challengesProfessional Experience / EducationMaster’s degree in Data Science, Computer Science, Mathematics, or relevant fieldFluent written and spoken English skillsCompetencesProven experience as a Data Analyst or Data ScientistExperience in data mining and machine-learning Knowledge of Python (preferred) R, and SQL Analytical mind and business acumen, problem-solving attitudeExcellent communication and presentation skillsKnowledge of pulp & paper industry is an advantage

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