Chief Technology Officer

Sensoleak is looking for a CTO of Machine Learning and Artificial Intelligence to manage a ML and AI SaaS based data transformation suite of products. This role will be located in Houston, TX. As the CTO, this role will manage a global team of Software Engineering, Data Science professionals, infrastructure and Information Security staff. Candidates will manage a team with a total staff ranging from 5-25 members. Candidates may be required to travel.

Candidates must have experience with enterprise solutions that they have built, deployed and scaled. Sensoleak uses a combination of the latest AI, ML and Cloud technologies. We are looking for a candidate with a discipline in high-performance software languages; Python, SQL, Java, and C++. SCADA platforms and O&G operations systems; Candidates should understand building enterprise class software product in today’s latest Agile methods. Using databases and distributed platforms.

Required Skills

  • Senior Technology Manager overseeing Enterprise Cloud, AI and ML SaaS products

  • Experience managing large teams in multiple international locations

  • Knowledge of enterprise software languages; Java, C++, Python and SQL databases.

  • Ability to make Strategy and Technology Roadmap decisions and manage through development and production

  • Experience managing development, AI and ML, InfoSec and Infrastructure staff

  • Firsthand software architecture experience and enterprise class software development

  • A Micro approach to ML, AI and Data technologies while also possessing senior leadership skills

  • Ability to work with major O&G companies in the US and overseas.

  • Owns key decisions for technology builds, 3rd party software relationships and in-house staff evaluations

  • Proven track record of software performance, deployment and support

  • Advanced degree in computer science, applied mathematics and/or engineering.

  • Expertise working with a team that develops in Python to productionize machine learning models for large-scale datasets

  • HUGE PLUS! Industry experience deploying models based on Deep Learning, Reinforcement Learning, and/or Bayesian statistics frameworks

  • Strong capacity to work with Big Data tools and streaming technology

  • Extensive knowledge of Machine Learning and Deep Learning model production for content analysis and platform optimization

  • Exceptional communication skills and a passion for data!

Python, Machine Learning, Natural Language Processing, NLP, Computational Linguist, Big Data, AI, Artificial Intelligence, Java, SQL, Modelling, Algorithm, Content Analysis, Sentiment Analysis, Data Scientist, Data Science, Big Data, Classification, Clustering, Extraction, Product Development, Product Analytics, Time-Series, Bayes, Deep Learning, SVP, Executive