Job Description

Position Overview

• Location Type: [Not Specified]
• Employment Type: Full-Time
• Salary: [Not Specified]

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.

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

• Research and develop state-of-the-art generative AI tools and products.
• Enhance the productivity and efficiency of internal teams (sales, distribution, and operations).
• Conduct extensive research and perform proof-of-concept work to validate the feasibility and effectiveness of AI models.
• Collaborate with cross-functional teams to integrate AI solutions seamlessly into existing workflows.
• 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 & Qualifications

Basic 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.

Preferred Qualifications

• Strong problem-solving skills and the ability to work in a fast-paced environment.
• Experience with full-stack development, especially for integrating AI models into web applications.

Application Instructions

[Not Specified]