Details:

We are the SaaS based data & analytics firm working with brands to empower them with actionable data driven insights. Our platform, strategic analysis, data libraries & services allows brands to stay ahead of their competition through a data-driven marketing approach. Be it social media (Facebook, Twitter, Youtube, Instagram etc.), digital coverage, sales related metrics (e-commerce, Google Analytics etc.), e-mail Marketing such as MailChimp, we enable brands to connect the various dots across digital. We are currently looking for a qualified candidate to join as a Machine Learning Engineer. 

You will be responsible for developing core predictive and sentiment analytics for brands in the Marketing Space. Focus will be on using the best of what lies at the forefront of technology and data science to address complex, real-world digital marketing challenges.

Responsibilities:

●Introduce and implement diverse Machine Intelligence and Data Engineering disciplines.

●Drive product development and ensure timely deployment/deliverables.

●Ability to work on projects both collaboratively as a part of a multi-disciplinary team and individually.

●Analyze and understand the disparate sources of industry data 

●Apply data-mining and machine learning techniques to large structured and unstructured datasets 

●Collaborate closely with the product team and other engineers to translate business objectives into new features and products

Requirements:

●Experience in implementing Sentiment Analysis tools. 

●M.S. or Ph.D. in a quantitative field (e.g. computer science, mathematics, physics) or 3+ years experience with applied machine learning, algorithm development, and analytics 

●Experience in dealing with structured, unstructured and real-time data 

●Scala, Java, Python

●Experience with NLP is a must; recommendation engines is a plus

●Worked on NoSQL databases like MongoDB, Elasticsearch, Cassandra etc.Other skills we'd appreciate: 

●Experience on working with Digital related data eg. Facebook, Twitter etc.

●Experience with large scale data analysis (e.g. Spark, Hadoop/MapReduce) 

●Experienced with any one of the following - Go, Java, Python, R, Scala, Hive, Pig etc. 

●Working experience with these is a plus - ElasticSearch, Kibana, Spark, Solr, Hadoop, Hive, Storm, Mahout etc.

Min. Qualification:

pg

Skills Required:

hadoop, java, machine learning, mapreduce, nlp, nosql, python