Machine Learning Jobs in Web3

What is Splore? Splore is redefining how enterprises harness the power of generative AI and multi-agent systems. We work closely with established partners across industries like finance, legal, and tech, enabling them to solve real-world challenges and drive productivity. We integrate state-of-the-art AI technologies into existing business workflows, offering end-to-end solutions that enhance decision-making and streamline operations. Backed by industry leaders Temasek and Menyala, and powered by a team of AI and machine learning experts, Splore delivers AI applications to stay ahead in a rapidly evolving, data-driven landscape.    What is the role? We are seeking for a Senior Machine Learning Engineer to join our ML/AI team. In this role, you will oversee the entire ML lifecycle, from translating use cases to developing, deploying, and monitoring machine learning models in production environments. Additionally, you will be responsible for the development, mentorship, and career growth of your team members.   Responsibilities In this role, you will:

Business Use Case Translation: Understand business needs and collaborate with the product and sales teams to define ML requirements and execution plans. AI Research: Stay updated on the latest AI advancements, especially in generative AI; evaluate potential technologies and apply them to our domain for continuous ML feature upgrades. Proof of Concept (POC): Design and customize solutions for customer POCs, and evaluate these solutions using appropriate metrics to demonstrate their value. ML Pipeline: Apply suitable SDLC practices to develop and deploy scalable tools and services for managing ML data pipelines, model training, and inferencing. ML Tracking and Evaluation: Develop effective tracking mechanisms with relevant data and metrics to continuously monitor ML service performance, and conduct model retraining using appropriate evaluation criteria. Technical Leadership: Provide technical guidance to junior ML engineers, ensuring high-quality technical delivery and continuous product improvement.

  Attributes We are looking for a Senior Machine Learning Engineer with the following:

Dealing with Ambiguity: You thrive in navigating dynamic environments, making informed decisions amid evolving scenarios and comfortably embracing uncertainty. Collaborates: We're all about teamwork here. You will work closely with the Product Management and Engineering teams to align long-term AI capabilities and solutions with both business and technical requirements. Strong communication skills are essential for liaising with stakeholders across engineering, product, business, and client teams. Nimble Learning: We're looking for someone who thrives in a startup environment. You're not afraid to get your hands dirty and learn through experimentation when faced with fresh challenges. You're always on the pulse of the latest ML trends and immersing yourself in new technologies.  Functional/ Technical Skills: MS/PhD in Computer Science/Information Technology. (minimum 6+ years’ experience in ML engineering or a related field)

High proficiency in Python and extensive hands-on experience with DL frameworks such as TensorFlow and PyTorch. Expertise in MLOps practices, including continuous training, model deployment, and monitoring. In-depth knowledge of software testing, benchmarking, and continuous integration Over 5 years of experience working with cloud platforms such as Microsoft Azure, AWS, or GCP, including building custom integrations between cloud-based systems using APIs. Ability to translate business needs into technical requirements, with a strong understanding of software testing, benchmarking, and continuous integration. Experience with multi-language systems and proficiency in languages like Go, Java, and C++ are advantageous.