VP Engineering

Email your CV to contact@tenz.ai

Roles & Responsibilities

    • Essentially looking for a VP - Engineering and Star Coder for a stealth mode AI Start Up.
    • Conceptualize and architect the AI & Cognitive Platform.
    • Take end to end ownership right from solution design, development and implementation.
    • Build and Scale a team of brilliant cognitive platform developers.
    • Foster the development of high performing technical teams to meet strategic architectural objectives.
    • Work closely with Co-Founders to arrive at the product roadmap and release plans.
    • Guide and mentor the team as and when required on technology aspects.
    • Ability to design testability, operability, scalability into cloud based systems.
    • Good knowledge on emerging technology trends like AI, Big Data, Cognitive Computing.
    • Research on emerging areas in AI, Cognitive Computing & ML.
    • Build prototypes and evaluate POCs.
    • Excellent team management and interpersonal skills.
    • Thought Leadership, R & D and IP development.

Must Have Skills

    • Web Crawling, Information Retrieval and Information Extraction.
    • Search and Knowledge Systems.
    • Designing Data Pipelines and large scale distributed applications.
    • Deep learning, ML, NLP and Deep learning frameworks.
    • Conceptualizing and launching AI platforms.
    • Chatbots and Conversational Interfaces ( good to have).
    • Exposure to AWS, Google and Azure Platforms.

Tools and Platforms

    • Strong experience in designing and implementing web based solutions based on Python.
    • Good exposure to Python frameworks like Django(must have), Turbogears, Flask,Web2py etc...
    • Strong experience in Hadoop Ecosystem technologies like HBase, MapReduce, Pig, Hive, Flume, Sqoop, Cloudera Impala, Zookeeper, Oozie, Hue, Kafka.
    • Exposure to Graph Stores is preferred.
    • NLP/ Deeplearning frameworks – Tensorflow, Pytorch, Caffe2, Spacy, NLTK, Elmo etc...
    • Must have hands on experience in Spark Ecosystem – PySpark, SparkML, SparkSQL etc...
    • Exposure to web scraping tools and frameworks.
    • Prior experience in design and deploying ML, Chatbots or Cognitive Applications would be an added advantage.
    • Good exposure to data stores like RDBMS, No-SQL ( MongoDB / Cassandra / CouchDB ).
    • Search & Indexing tools like Elastic Search and Solr.
    • Experience designing, scaling, and securing APIs
    • Good exposure on Web 2.0, OO JavaScript, AJAX, DHTML and JS libraries (AngularJS, jQuery, DOJO, ExtJS, react.js, node.js, etc...)