Machine Learning Lead
Machine Learning Lead
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Job Description
About Avo Intelligence
Avo Intelligence operates at the forefront of machine learning innovation delivering transformative solutions that empower businesses to unlock the potential of their data. Based in Singapore we specialize in providing worldclass machine learning expertise that drives impactful results across industries such as finance healthcare logistics and smart urban planning. With a network of highly skilled professionals experienced in raw machine learning applications we are dedicated to fostering innovation and delivering meaningful outcomes for our clients.
About the Role
We are seeking a passionate and experienced Machine Learning Lead to spearhead the development and optimization of algorithms that drive innovative machine learning solutions across diverse projects. This role involves taking ownership of the endtoend ML lifecyclefrom data exploration and model development to deploymentwhile mentoring a team of talented professionals. If you thrive on solving complex challenges driving impactful innovation and shaping the future of machine learning wed love to have you on board.
Tasks
- Collaborate with stakeholders to understand business objectives and design machine learning models to achieve them 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 realworld 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.
- Identify and leverage publicly available datasets for training and develop custom feature engineering and data augmentation pipelines.
- Develop and implement validation strategies to ensure robust model performance.
- Train finetune and optimize ML models including hyperparameter tuning and performance evaluation.
- Strategize to overcome model errors and design failsafe deployment strategies for production environments.
- Lead the integration and deployment of ML models into production systems ensuring scalability and efficiency.
- Guide the team in leveraging the GCP Ecosystem and other cloud platforms for ML workflows.
Requirements
- Bachelors Masters 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 handson experience applying AI/ML NLP deep learning and statistical analysis to solve realworld 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 opensource ML frameworks developing tailored algorithms and solutions.
- Proven track record of delivering successful technology solutions including prototypes proofofconcepts (POCs) wellcited research publications and/or deployed products.
- Expertise in data management analytics platforms cloud infrastructure (e.g. GCP AWS Azure) and scalable ML systems is a significant advantage.
- Experience in mentoring and guiding crossfunctional teams with a strong ability to communicate complex concepts to stakeholders across technical and nontechnical disciplines.
- Exceptional analytical and problemsolving skills coupled with a proactive and collaborative approach to leadership.
Benefits
- Work with some of the brightest minds in the machine learning field tackling industryspecific 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 realworld problems through raw machine learning applications.
Employment Type
Full Time
