AI Innovation Architect
hace 1 mes
i1x Venture Studio is a fast-growing startup that leverages AI to enhance the customer experience, provide intelligent insights, and streamline workflows for users.
Salary Range$30,000 - $70,000/year (dependent on location) + equity
Job DescriptionWe are seeking an experienced AI Engineer to design, implement, and scale AI solutions to solve complex problems and drive our product forward. As our ideal candidate, you'll thrive in a fast-paced environment and take ownership of AI-related projects.
The RoleYou will work closely with engineering, product, and data teams to integrate machine learning models and AI-powered features into our platform. Your responsibilities will include designing AI systems, training models, and deploying them at scale on cloud infrastructure.
- Design and deploy AI/ML models that solve real-world problems, including recommendation systems, predictive analytics, and natural language processing (NLP) solutions.
- Collaborate with product managers and stakeholders to identify AI opportunities that align with business objectives.
- Collect, preprocess, and analyze large datasets to build and train machine learning models.
- Implement end-to-end pipelines for deploying AI models, including data collection, feature engineering, model training, and production deployment.
- Continuously improve the performance and accuracy of existing models by monitoring them in production and iterating based on user feedback and new data.
- Ensure the scalability and reliability of AI systems by optimizing them for performance on cloud platforms like AWS.
- Stay up to date with the latest research and trends in machine learning, deep learning, and AI.
- 3+ years of experience as an AI/Machine Learning Engineer, Data Scientist, or a related role.
- Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Proven experience designing, training, and deploying machine learning models in a production environment.
- Solid understanding of data structures, algorithms, and statistical methods.
- Experience with natural language processing (NLP), computer vision, or deep learning models.
- Proficiency in Python and familiarity with other programming languages (e.g., Java, C++).
- Experience working with cloud platforms like AWS, GCP, or Azure, and deploying AI solutions in a cloud-native environment.
- Experience with MLOps best practices, including version control, automated testing, and CI/CD pipelines for machine learning models.
- Strong analytical and problem-solving skills, with an ability to work through ambiguity and adapt to a fast-paced startup environment.
- Be part of a fast-moving startup where you'll have the opportunity to make a real impact with cutting-edge AI technologies.
- Work in a flexible, remote-friendly environment with a culture of autonomy and innovation.
- Opportunity to shape the AI strategy and architecture of a growing company.
- Collaborate with a small, dynamic team where your contributions are recognized and valued.
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