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About ShyftLabs: ShyftLabs is a leading data and AI company helping enterprises unlock value through AI-driven products and solutions. We specialize in building data platforms, machine learning models, and AI-powered automation, offering consulting, prototyping, solution delivery, and platform scaling. Our Fortune 500 clients trust us to transform complex data into actionable insights that fuel innovation.
Job Responsibilities
- Apply and optimize AI models to enhance ShyftLabs’ AI-driven solutions
- Integrate models into scalable, production-ready environments
- Fine-tune models for performance, reliability, and cost efficiency
- Collaborate closely with engineers and data scientists to enable smooth deployments
- Leverage cloud platforms and infrastructure tools to support AI applications
- Stay ahead of industry trends by researching the latest AI/ML tools and practices
- Document processes and implementations to improve scalability and knowledge sharing
- Bachelor’s degree in Computer Science, Data Science, AI, or related field
- 5 + years of software development, or data-driven solutions
- 2+ years of experience in AI/ML engineering
- Strong Python programming skills and hands-on experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Proficiency in SQL and experience deploying models into production
- Solid software engineering background, including API development, microservices, and distributed systems
- Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps best practices
- Knowledge of system design and architecture for AI-driven applications
- Excellent problem-solving skills with an emphasis on optimization
- Strong communication and collaboration skills
- Experience with full-stack development, particularly integrating AI models into web applications
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know.
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