Artificial Intelligence Engineer - Data Science

At Optimum Info, we are continually innovating and developing a range of software solutions empowering the Network Development and Field Operations businesses at Automotive, Power Sports and Equipment industries. Our integrated suite of comprehensive solutions provides a seamless and rich experience to our customers, helping them become more effective at their work and create an impact on the organization.

Our sharp cultural focus on outstanding customer service and employee empowerment is core to our growth and success. As a growing company, we offer incredible opportunities for learning and growth with opportunity to manage high-impact business solutions.

Position Overview

An AI Engineer at Optimum Info will understand challenges faced by users of Optimum's solutions and develop machine learning and deep learning models to address the challenges. The engineer will also develop the necessary interfaces to integrate the developed models with business applications.

To achieve this the engineer will acquire a deep understanding of the business, the datasets, and the processes. The engineer will collaborate with other technical teams for deployment of developed solutions.

Key Responsibilities

This list is indicative of the knowledge, skill, and/or ability required. As software development and validation technologies continue to evolve, it is expected that the AI engineer will constantly research, identify and adopt the best tools and practices for ensuring high quality software product releases.
 Understand given problem statements and analyze related data sets
 Identify solution design options, build models and conduct POCs
 Collect model performance data and compare with benchmarks
 Present effective data visualizations and feasible options along with recommendations to senior management
 Develop integration with business applications
 Collaborate with business analysts, application developers, QA and configuration engineers for integration with Optimum's products, validation and deployments
 Define deployment architectures and estimate infrastructure needs for cloud deployments
 Create technical documentation for work products delivered
 Research new developments in the field and propose how Optimum's products may leverage them to provide added value to users

Desired Qualifications And Experience
 A bachelor's or master's degree in engineering with 3+ years of experience including.
 Expert level knowledge of Python, API development and consumption
 Knowledge of algorithms and the mathematical basis, and techniques for evaluating model performance
 Machine learning and deep learning libraries for Python
 Data extraction and persistence using RDBMS and NoSQL databases
 Cloud infrastructure and deployment for scale (including containerized deployment)
 Agile/SCRUM environment
 Configuration management tools like Git, TFS/Azure DevOps etc.
 Good verbal and written English language skills
 Demonstrable experience of having developed and evaluated models, through to business application integration and production deployment
 Alternatively, holders of other graduate degrees with demonstrable equivalent experience will also be considered

Certifications
 Machine learning and deep learning certifications from industry recognized institutions are desirable

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