AI Engineer

Position Overview: We are building a growing Data and AI team. This team is responsible for building and managing data engineering, analytics, and GenAI solutions to drive business impact. We are looking for a pragmatic problem solver who thrives in a fast-paced environment and can deliver impactful solutions. The ideal candidate is a self-starter with a strong technical foundation, a collaborative mindset, and the ability to navigate complex data challenges. You will play a crucial role in integrating AI solutions in our existing digital solutions, optimizing our data infrastructure, and enabling insights through data
ShyftLabs is a leading data and AI company, helping enterprises unlock value through AI-driven products and solutions. We specialize in data platforms, machine learning models, and AI-powered automation, offering consulting, prototyping, solution delivery, and platform scaling. Our Fortune 500 clients rely on us to transform their data into actionable insights.

Key Responsibilities:

• The AI Engineer is responsible for researching and developing state-of-the-art generative AI tools and products. These tools aim to enhance the productivity and efficiency of our internal teams, specifically the sales, distribution, and operations teams.
• Conducting extensive research and performing proof-of-concept work to validate the feasibility and effectiveness of AI models.
• The engineer will collaborate with cross-functional teams to integrate AI solutions seamlessly into existing workflows. Additionally, is expected to stay abreast of the latest advancements in AI and machine learning to ensure our solutions are cutting-edge and competitive.
• Apply and optimize AI models to enhance ShyftLabs' data and AI products.
• Integrate AI solutions into scalable production environments.
• Fine-tune models for performance, reliability, and cost efficiency.
• Collaborate with engineers and data scientists to ensure seamless AI deployment.
• Leverage cloud and infrastructure tools to support AI-driven applications.
• Stay up to date with AI advancements and best practices.
• Document processes and implementations to improve scalability and knowledge sharing.
• Experience with full-stack development is a plus, especially for integrating AI models into web applications.

Basic & Preferred Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• Strong understanding of machine learning algorithms, deep learning frameworks, and statistical analysis.
• Proficiency in programming languages such as Python, R, or Java.
• 2-4 years of experience in AI/ML engineering or a related field.
• Proven track record of developing and deploying AI solutions in a production environment.
• Experience with data preprocessing, model training, and optimization techniques.
• Familiarity with cloud platforms and tools for AI/ML development and deployment.
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.

We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.