Lead Machine Learning Engineer - Fleet Intelligence

Sibros’ fleet intelligence is one of the core products that offers OTA (over-the-air) data collection to a fleet of vehicles and provides AI powered insights into fleet data analytics. This game changing product will bring automobile manufacturers the ability to access realtime data on millions scale fleets and take actions efficiently on advanced insights Sibros provides.

We are looking for a highly capable, experienced machine learning engineer to lead the machine learning team to build and optimize our machine learning systems. You will be evaluating cloud native, SaaS, open source machine learning framework, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.

Your responsibilities include, but are not limited to:

• Collaborate with product owners and engineering teams to determine and refine machine learning objectives.
• Tech lead of the machine learning team, define team member’s goals and deliverables.
• Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
• Transforming data science prototypes and applying appropriate ML algorithms and tools.
• Ensuring that algorithms generate accurate user recommendations and predictions.
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Developing ML algorithms to analyze huge volumes of historical data to make predictions.
• Running tests, performing statistical analysis, and interpreting test results.
• Documenting machine learning processes.
• Keeping abreast of developments in machine learning.

• Overall 5+ yoe in software engineering, 3+ yoe in machine learning domain.
• Advanced proficiency with Python, Java, and Golang code writing.
• Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
• In-depth knowledge of mathematics, statistics, and algorithms.
• Superb analytical and problem-solving abilities.
• Great communication and collaboration skills.
• Excellent time management and organizational abilities.

• Strong experience in writing software in production
• Experience in designing and implementing ML/AI products on a large scale.
• Experience in the public cloud and cloud-native technologies. E.g. AWS, GCP, Azure.
• Master’s degree in computational linguistics, data analytics, or similar will be advantageous.
• Previous team lead experience.

Sibros is committed to a policy of equal employment opportunity. We recruit, employ, train, compensate, and promote without regard to race, color, age, sex, ancestry, marital status, religion, national origin, disability, sexual orientation, veteran status, present or past history of mental disability, genetic information or any other classification protected by state or federal law.