AI Engineer
Fleetio- Full Time
- Junior (1 to 2 years)
Candidates should possess a Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related field, along with 2-4 years of experience in AI/ML engineering or a related field. A strong understanding of machine learning algorithms, deep learning frameworks, and statistical analysis is required, as is proficiency in programming languages such as Python, R, or Java. Familiarity with cloud platforms and tools for AI/ML development and deployment is also necessary.
The AI Engineer will be responsible for researching and developing state-of-the-art generative AI tools and products to enhance internal team productivity, conducting extensive research and performing proof-of-concept work, collaborating with cross-functional teams to integrate AI solutions, applying and optimizing AI models to enhance ShyftLabs’ data and AI products, integrating AI solutions into scalable production environments, fine-tuning models for performance, reliability, and cost efficiency, staying up to date with AI advancements and best practices, documenting processes and implementations, and leveraging cloud and infrastructure tools to support AI-driven applications.
Data-driven decision-making solutions for organizations
ShyftLabs helps organizations adopt a data-first approach to their decision-making processes. Their services focus on establishing systems that enable companies to make quicker and more informed decisions based on data analysis. This approach allows businesses to gain insights that can keep them ahead of their competitors. Unlike other companies that may offer generic consulting services, ShyftLabs emphasizes the importance of data in driving decisions, ensuring that organizations can leverage their data effectively to enhance their strategic planning and operational efficiency.