Senior AI Infrastructure Engineer
3 days ago
Job Overview:
At Quick Hire, we're shaping the future of industries with innovative technology. As a Senior AI Infrastructure Engineer, you'll play a vital role in designing and implementing cutting-edge machine learning models and algorithms.
Key Responsibilities:
- Collaborate with cross-functional teams to develop and maintain end-to-end machine learning pipelines, from data preprocessing and feature engineering to model training, evaluation, and deployment.
- Deploy and monitor machine learning models in production environments, ensuring high performance and reliability.
- Stay up-to-date with the latest advancements in generative AI, natural language processing, and computer vision, and apply relevant techniques to improve existing models.
- Contribute to the development of best practices, guidelines, and standards for machine learning engineering within the organization.
Requirements:
- Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field.
- 8+ years of industry experience as a Machine Learning Engineer or in a similar role.
- Proficiency in Python and experience with machine learning frameworks such as PyTorch, TensorFlow, etc.
- Familiarity with large-scale distributed systems and experience deploying models on cloud platforms (e.g., AWS, GCP, Azure).
- Knowledge of modern MLOps practices, including CI/CD pipelines, model versioning, and monitoring.
- Strong problem-solving and analytical skills, with the ability to tackle complex challenges.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Experience with generative AI models, such as GPT, Claude, Llama is a plus.
What We Offer:
- The opportunity to work in a fast-paced, innovative company that is changing the way industries operate.
- A dynamic work environment with ample opportunities for professional growth and advancement.
- An attractive salary range of $150,000 - $200,000 per year, depending on experience, plus equity options and benefits package.
- A chance to be at the forefront of the AI and technology revolution with a team of passionate, like-minded professionals.
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