AI/ML Architect

We are Kaleyra! A global CPaaS listed on the New York Stock Exchange.

We power communications via cloud and APIs (through messaging, voice, and chatbots) for the largest companies in the world, including the social networks you use every day, the largest automotive producers, top banks and credit card issuers, various airlines and travel companies, and the most widely-used e-commerces and retailers out there.

We have customers in all continents (except Antarctica!) and our vision is to be the world’s most Trusted, Secure and Innovative communication platform to enable real-time conversations between brands and their users.

We are a diverse team of over 650 individuals from different parts of the world working hard (playing hard) and caring for each other. Our fast growing team is spread across 12 locations around the globe, including Italy, India, Germany, United Arab Emirates, the United States, and Singapore.

We’re now looking for someone that is ready for new exciting challenges and willing to enter our family as “AI/ML Architect”

The Artificial Intelligence (AI) & Machine Learning (ML) Architect is responsible for designing and architecting solutions based on AI and Machine Learning technologies.

Position Summary:

• 8+ years creating products in the AI space.
• Design technical specifications for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same.
• Building AI based solutions involving the use and creation of AI and ML techniques including deep learning, natural language processing on large volumes of data to gain useful insights.
• Operationalize and monitor machine learning models using tools and technologies.
• Design & implementation of DevOps principles in Machine Learning.
• Execute best practices in version control and continuous integration / delivery.
• Applies basic debugging tools and techniques to reproduce, simplify and resolve solution errors or problems.
• Document the design and architecture of the solutions along with the cross functional dependencies including sequence diagrams, data flow diagrams and business process flows.
• Analyzes the current architecture and services in terms of usage efficiency to identify opportunities for optimizing the cost and creates a baseline.
• Participates in identifying the costs, benefits and process impact of updating, upgrading or adding new components.
• Participates in the selection of appropriate design methodologies and tools in line with the organization's practices and design principles.
• Participates in the implementation of technology risk management measures for business continuity and disaster recovery.
• Participates in the implementation of service quality standards.
• Participates in designing blueprints on how to structure, store and utilize data
• Identifies gaps, inefficiencies and potential risks in existing data management processes
• Establishes processes to monitor compliance of information or data handling and access requests with approved procedures
• Identifies processes that will be improved by the application of new and emerging technologies and approaches.
• Assists in comparing business performance before and after the implementation of emerging technologies.
• Identifies and assists in identification and assessment of security risks and problems posed by existing/new technologies and business practices.
• Monitors emerging technology trends and creates demos and proof of concept.

Skills:

• Knowledge of open source libraries such as spacy, Distillbert, Keras, Tensor Flow and Pytorch.
• Should have in depth understanding and experience of Data science and Machine Learning projects using Python, R etc. Skills in NodeJs/Golang are a plus.
• Experience with version control tools such as Git, Bitbucket etc.
• Experience with SQL and databases.
• Expertise in the cloud solution AWS, Azure/GCP is a plus.
• Experience with Docker, Jenkins, Kubernetes, and other DevOps tools.
• Preferred to have a PG / Certification in AIML.
• Should have knowledge of the micro services architecture.
• Should have expertise in creating solution design documentation.
• Should be able to train and build a team of technical developers.
• Should be able to work with multicultural global teams.

Equal Employment Opportunity Statement:

Kaleyra is committed to create a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified candidates will be considered without any regard to their race, colour, religion, gender, gender identity or expression, sexual orientation, nationality disability, or age.

Recruitment Privacy Notification:

If you have submitted your profile to Kaleyra, be informed that we have processed your personal data in accordance with our internal hiring policies. Kaleyra understands the importance of protecting your personal data. Since, we are a GDPR complied company, we would want to invite your attention to our Privacy Policy and Recruitment Statement which is effective.

Kaleyra is committed in protecting your personal information and it will be used appropriately for evaluation of the candidature. The information collected will be used to serve hiring purpose as a part of Kaleyra’s recruitment process, including processing of the data by authorised third parties, as and when required. Your information will be held with Kaleyra only as long as necessary and for the purpose of hiring and will be available in the database for a period of one (1) year irrespective of the selection or rejection.

By proceeding and providing information asked herein, you agree that you have read Kaleyra’s privacy policy and fully understand your rights to access, correct, erase, object to processing, restrict to processing or withdraw your personal information anytime and seek a copy of the personal information.