Email your CV to firstname.lastname@example.org
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