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AI/ ML Engineer

5 - 7 yrs
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Not Disclosed by Recruiter Posted 30+ days ago Job Applicants: 31 Job Views: 104

Job Description

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    Blueshift is looking for bold and self-motivated datascience engineers to join the team. You will have a chance to work on all aspects of big fast data systems, state of the art cloud infrastructure and cutting edge AI algorithms.What are examples of work that Datascience Engineers have done at Blueshift?
    AI algorithms: We have developed cutting edge AI based predictive models and state of the art recommender systems to deliver the right content, to the right audience, on the right channel, at the exact right time. This is a key driver to predictive marketing journeys. We have received a patent on our unique personalization approach and are recognized by the leading analyst from Gartner as Cool Vendor in AI Marketing.
    Data management: Data sits at the core of our product. We ingest billions of user, product and behavior streams every day in real time. We perform ETL on the TBs of data to create schema-less user-product interaction graphs to compute product recommendations and predictive scores.
    Cloud native Infrastructure: Framework to provision big data cloud infrastructure in a reproducible, version controlled, elastic and automated manner. Helps us scale our cluster easily. Also makes it easy to upgrade existing clusters or bring new clusters to play with the latest open source releases. We have provisioned our production Hadoop, Spark, Kafka and Druid clusters using this framework.
    Open source: We love open source, our entire data infrastructure, and data science stack is built on open source. Hadoop, Hive, Hbase, S3, Kafka, Spark, Airflow, Druid,, Docker, and Redis forms our infrastructure and application stack.

    You will work on full stack data science components and applications such as ETL pipelines, recommendations, predictive targeting, auto-optimization
    You will own, design and develop data infrastructure and applications to power cutting, edge AI algorithms over petabytes of data using offline/online data integration
    You will build data products for growth and product marketers, think AWS services like AutoML for marketers
    You will work with experienced technical and product teams with proven entrepreneurial success
    As a first data science engineer in the team, you will have the opportunity to hire, mentor and lead the team

    Proven experience with distributed systems like Spark, Kafka, HDFS, Cassandra, Hive and HBase.
    Strong architecture, algorithmic design and familiarity with open source AI/ML tools.
    A real passion for thinking from first principles and building from ground up
    Experience building a production ML systems would be a plus

    Competitive salary, equity & benefits
    Work with founders and executives closely and participate in all aspects of company building
    Early stage opportunity in a massive sized market with proven traction and growing rapidly
    Visibility on a global scale
    Seniority Level
    Entry level

Salary: Not Disclosed by Recruiter

Industry: Internet, Ecommerce

Functional Area: IT Software - eCommerce , Internet Technologies

Role Category:Admin/Maintenance/Security/Datawarehousing

Role:Technical Support Engineer

Employment Type: Permanent Job, Full Time


Desired Candidate Profile

    Please refer to the Job description above


UG: Any Graduate - Any Specialization, B.Tech/B.E. - Any Specialization

PG:Any Postgraduate - Any Specialization, MBA/PGDM - Any Specialization

Doctorate:Doctorate Not Required

Company Profile:

Startup - BlueShift

Blueshift's AI-Powered Marketing Platform empowers cutting edge B2C brands to drive 1:1 marketing on every channel. With Blueshift, marketers are in full control of automating various forms of personalized messaging across every engagement channel. The company is head quartered in San Francisco, USA and founded by repeat entrepreneurs who previously built (acquired by Groupon to become Groupon Goods), and were part of the early team behind Kosmix (acquired by Walmart to become @WalmartLabs).Blueshift's SaaS platform is used by marketers at leading brands such as Udacity, LendingTree, BBC, PayPal among others. The company is backed by top tier Silicon Valley VC firms like Storm Ventures & Nexus Venture Partners and has been recognized by leading SaaS analyst firm Gartner as 'Cool Vendor in AI Marketing for 2018'. Blueshift has won multiple awards including TiE top 50 start-ups for it's innovation, culture and growth.
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