Machine Learning Strategist
4 days ago
A world-renowned expert in machine learning innovation, Avo Intelligence unlocks data potential for businesses across industries. With a team of highly skilled professionals based in Singapore, we provide cutting-edge ML expertise that drives impactful results.
We are seeking an experienced Machine Learning Strategist to spearhead the development and optimization of innovative algorithms across diverse projects. This role involves owning the end-to-end ML lifecycle—from data exploration and model development to deployment—while guiding cross-functional teams. If you excel at solving complex challenges, driving impactful innovation, and shaping the future of machine learning, we'd love to have you on board.
Key Responsibilities- Collaborate with stakeholders to design and implement effective machine learning models that meet business objectives, including defining metrics to measure success.
- Lead and oversee resource allocation (hardware, data, personnel) to ensure project deadlines are consistently met.
- Analyze and evaluate machine learning algorithms, ranking their effectiveness and selecting the best approaches for real-world deployment.
- Explore and visualize data to gain actionable insights, identifying and mitigating issues in data distribution that could affect model performance.
- Ensure data quality through cleaning, augmentation, and preprocessing, while also supervising the data acquisition process when needed.
- Bachelor's, Master's, or Ph.D. in a quantitative field such as Computer Science, Electrical Engineering, Information Sciences, Statistics, Mathematics, Economics, or Operations Research, with a focus on applied and foundational Machine Learning, Artificial Intelligence, or statistical modeling.
- At least 4+ years of hands-on experience applying AI/ML, NLP, deep learning, and statistical analysis to solve real-world challenges across multiple domains.
- Strong programming expertise, with proven experience in machine learning frameworks such as TensorFlow, PyTorch, or similar, and big data technologies such as Spark and Hadoop.
- Demonstrated ability to customize and extend open-source ML frameworks, developing tailored algorithms and solutions.
- Work with some of the brightest minds in the machine learning field, tackling industry-specific challenges and pushing the boundaries of innovation.
- Collaborate on diverse projects that span industries and make a tangible impact.
- Be part of a global network of ML experts who are passionate about solving real-world problems through raw machine learning applications.
We offer an estimated salary range of $150,000 - $200,000 per year, depending on your level of experience and qualifications. Our company is redefining the possibilities of machine learning by empowering businesses to leverage raw ML expertise to tackle complex challenges and innovate effectively. We specialize in providing expert machine learning talent that integrates seamlessly with your projects.
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