About the company
Xen.AI, Inc. is a California based R&D organization with operations in USA and India. We help companies transform their applications and products with Artificial Intelligence, Machine Learning, Deep Learning & Data Science technologies. Please visit https://xen.ai/ to know more about us.
About the position
Xen.AI is looking for a hands-on technical CTO, Head of AI, Machine Learning and Data Science or Chief Architect who has proven hands-on experience in developing AI, Machine Learning, Deep Learning and Data Science solutions and projects in various verticals such as Healthcare, Medical, Life Sciences, Pharmaceuticals, IoT, Smart Cities, Infrastructure, Banking, Insurance, Finance, Manufacturing, Government projects, Defense etc. Selected candidates would be able to work remotely from any location. This can be a full time or part-time role.
Requirements
- 15+ years of proven hands-on and technical leadership experience in various industries
- Proven track record of delivering innovating AI, Machine Learning, Deep Learning and Data Science solutions & projects in various verticals such as Healthcare, Medical, Life Sciences, Pharmaceuticals, IoT, Smart Cities, Infrastructure, Banking, Insurance, Finance, Manufacturing, Government projects, Defense etc.
- Hands-on coding experience with the latest AI, ML, Deep Learning tools and frameworks such as Google TensorFlow, Scikit-learn, Keras, Numpy, Pandas, Apache Spark, SparkML, Scala, Hadoop, Java, Python, R, AWS, Cloud computing.
- Experience with Amazon Web Services (AWS) or other cloud platforms like Google Cloud or Microsoft Azure and their big data and Machine Learning services such as AWS Sagemaker, Elastic Map Reduce (EMR), Apache Spark etc
- Highly self motivated.
- Well organized, focused, aggressive, result oriented, can-do attitude.
- Excellent leadership skills.
- Excellent communication skills.
- Masters Degree or PhD.
Compensation
- Profit sharing based compensation based on your contributions and company's progress.
Job Types: Full-time, Part-time, Contract