About Twine We're a thriving ecosystem of top-tier freelancers from around the world. Trusted by Fortune 500 companies and Silicon Valley startups, Twine is the go-to platform for mission-critical projects. Twine's experts get to participate in generating quality datasets at an unprecedented scale. With over half a million registered freelancers and a growing roster of 35,000+ companies, we've become the comprehensive solution for freelancing.
Our Mission At Twine, we recognise that companies require a flexible approach to hiring expert freelancers for their most critical projects. Traditional freelance platforms often fall short when it comes to scalability and diversity. That's where we shine. Twine operates as a thriving global freelance network, with diverse experts across various fields, including marketing, engineering, and AI. Our core mission is to empower creators, whether they're businesses or individual freelancers, to thrive in their creative endeavours.
About the Role We are seeking AI/ML Architect, you will play a crucial role in designing and implementing robust, scalable, and efficient AI/ML solutions for a leader in Digital Transformation.
Responsibilities: Collaborate with cross-functional teams to understand business objectives and requirements. Design end-to-end AI/ML architectures that align with business goals and scalability requirements. Evaluate and select appropriate technologies and frameworks for implementation. Lead the development and implementation of state-of-the-art AI/ML models. Utilize Python and other relevant tools to build and optimize machine learning algorithms. Ensure models are accurate, efficient, and scalable for deployment in production environments. Work closely with data engineers to ensure the availability of high-quality, clean, and relevant data. Develop and implement data preprocessing and feature engineering pipelines. Implement monitoring systems to track the performance of deployed models. Identify opportunities for optimization and improvement in model accuracy and efficiency. Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. Document architecture, design decisions, and code to ensure knowledge transfer and maintainability. Requirements Master's or Ph.D. in Computer Science, Data Science, or related field. Proven experience as an AI/ML Architect with a focus on Python-based solutions. Strong expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with designing and implementing end-to-end machine learning pipelines. Proficiency in data processing, feature engineering, and model deployment. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. Demonstrated problem-solving and critical-thinking skills.
