Openings in the Crayon box

Join our fab team of cool people

Data Factory Consultant

Description
  • Manual curation of data .
  • Candidate to be up to date with the latest trends across various lifestyle categories : dining, travel, apparels, retail, entertainment, etc.
  • Keen interest in understanding merchants and creating tags that differentiates merchants in the same category
  • Do a market research and build the dictionary to capture tasteful merchant aspects in any given lifestyle category.
  • Find the given merchants and tag them based on the dictionary built.These are fed into Crayon's recommendation engine "Maya" to deliver choices to customer.
Requirements
  • College Graduate / Fresher , who is immediately available to join.
  • This is an internship opportunity and is contractual in nature.
  • Duration of the contract - Minimum 4 months , can extend up-to 6 months.
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Data Scientist

Description
  • Hands on experience in Java or Scala.
  • Strong understanding and hands on experience of Supervised and Unsupervised Machine learning techniques (like classification, clustering, regression, etc,.)
  • Experience with proto
  • typing of these ML techniques using R or Python
  • Experience with productising the same using Spark ML, Apache Mahout, Weka, etc,.
  • Strong understanding on various types of recommender systems like Collaborative Filtering, Content based filtering, Association rule mining, etc,.
  • Working knowledge of Big Data Tech stack -- Hadoop, Spark and NoSQL databases like Couchbase, HBase, Solr, etc,.
Requirements
  • Hands on experience in developing recommender systems at production scale.
  • Exposure towards DevOps and containers like Docker.
  • Exposure on cloud environments like AWS, Azure, etc,.
  • Understanding on unstructured (text) data processing and NLP
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Devops Engineer

Description
  • Lead and prioritise the Application Support team's work load
  • Manage and Own the Problem Management Process
  • Develop, co-ordinate and promote the effective functioning of problem management activities
  • To examine potential areas for Service Improvement and raise proposals
  • Provide technical leadership
  • Provide input to application/infrastructure scalability
  • Interact with internal teams and clients to trouble shoot and resolve complex
  • Design appropriate metrics for reporting on key performance and quality indicators
Requirements
  • Strong customer service and support focus with a desire to deliver a high quality service
  • Self-motivated and highly professional with ability to lead and take ownership and responsibility
  • Ability to multi-task, work under pressure and to tight deadlines
  • A desire to learn and improve skills and knowledge
  • Fast learner, energetic and enthusiastic
  • Adaptable and flexible to business demands
  • Strong organisational and planning skills
  • Positive ‘can-do' attitude
  • Team player
  • Experience leading technical support teams
  • 8+ years' experience in an hands-on application support lead/manager role
  • Extensive problem solving and debugging skills
  • Ability to independently apply production upgrades and support the products and technologies
  • Experience in providing services to agreed SLA's
  • Experienced in Problem and Incident Management
  • Experience with working in an ITIL environment
  • Excellent interpersonal and communication skills
  • Flexible in working outside of core business hours at short-notice Skills
  • Experience with supporting multi-tier infrastructures
  • Experience with supporting Java applications and an understanding of web technology
  • Knowledge of Data Management Systems
  • Scripting (Python, ShellScript)
  • Java programming
  • Experienced in administering Linux and Windows server environments
  • Experience using Service Desk, support products
  • Experience in DevOps
  • Working knowledge of web platform development software
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Senior Data Miner

Description
  • Work with clients to understand their business challenges and formulate business problems
  • Managing & strategizing the analytics side of the business
  • Lead and Deliver solutions to the client individually/as a team and managing all deliverable's
  • Design the algorithms for product development
  • Coordinate with different teams and full-fill the end requirements of client
  • Build new analytical products & contribute in product development
Requirements
  • 8-10 years of experience in leading analytical projects and delivering value to customers
  • Strong understanding gained through experience on advanced analytics (Predictive Modelling (Logistic regression), Segmentation, forecasting, data mining, and optimization) techniques
  • Hands-on experience in using software packages such as SAS, R,Rapidminer for analytical modelling and data management Experience in using Business Intelligence tools such as: SAS, Microsoft, Tableau for business applications
  • Strong aptitude for analytical problem solving
  • Exceptional communication skills. Demonstrable ability to communicate complex concepts to business audiences
  • Ability to work effectively in a global team.
  • Need to travel to client location either to Myanmar Or Dubai.
Apply Now



Software Engineer

Description
  • Write clean, scalable and testable code to be run on large Hadoop and Spark clusters which will touch millions of lives
  • Contribute to design and architecture of the product
  • Participate in maintenance of the core product and support customers
  • Contribute to a collaborative and dynamic team which works across time zones
  • Three plus years of experience
Requirements
  • Excellent analytical and problem solving skills.
  • Expert knowledge in at least one programming stack - ideally Java
  • Expert knowledge in at least one database - RDBMS or NoSQL
  • Comfortable with Git or any versioning system
  • Should be able to thrive in a fast-paced, quickly evolving, tech start-up environment Great to Have
  • Your knowledge and interest in big data technologies like Hadoop, Spark etc.
  • Your knowledge of Machine Learning, NLP, IR, Algorithms etc.
  • Your knowledge and experience in deployment capabilities of big data solutions in one or more clouds like AWS, Azure or GCP
  • Comfortable with Linux and shell
Apply Now

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