Principal Specialist, Machine Learning​

RESPONSIBILITIES

• Drive development of artificial intelligence solutions for a broad range of application fields: automotive functions, robotics, predictive maintenance, IoT, Industry 4.0 and cognitive process automation.
• Promote adoption of state-of-art and novel machine learning technologies, especially in the field of deep learning for data analytics, time series analytics, sensors and IoT data analytics, behavior modeling and prediction, anomaly detection.
• Innovate and execute on foundational ML algorithms that spans Deep Learning and data-efficient learning techniques such as Transfer Learning (i.e. applying learning from one task to another), Single-/Zero-Shot learning (i.e. learning from a small number of labeled samples), and Unsupervised Learning.
• Develop novel application concepts using artificial intelligence to enhance company’s products and internal processes and operation (Sales, Marketing, HR, Engineering, Quality etc.)
• Act as a technical lead for small research teams and mentor other researchers and engineers.
• Initiate and lead innovation projects and oversee modeling research and development efforts.
• Provide architectural guidance on transitioning prototypes to high-performance production models.
• Proactively identify interesting areas for deep dive investigations and future product development.
• Design and execute experiments, and analyze results in collaboration with Product Managers, Business Analysts and other specialists.
• Leverage and promote industry best practices to establish repeatable applied science practices, principles & processes.
• Work with Continental partners in Industry, Academia and Research Institutes.
• Monitor technologies, open source frameworks, commercial tools this field.
• Contribute in shaping company’s Artificial Intelligence and Machine Learning strategy.

REQUIREMENTS

• Graduate degree (MS or PhD) in (Business) Informatics, Computer Science, Mathematics, Engineering, Computational Neuroscience or Physics with specialization in machine learning.
• Strong experience in fundamental ML and Deep Learning models.
• Track record of developing novel learning algorithms and/or systems.
• 3+ years (with PhD) or 5+ years of professional or academic experience in related fields.
• Expertise in one or more focus areas: online learning, sequential prediction, graphical models, structured prediction, sequential models, reinforcement learning, imitation learning, planning under uncertainty, Bayesian inference, model compression, multi-task learning, forecasting etc.
• Experience with large datasets and hands-on experience with distributed systems is a plus.
• Knowledge in one or more machine learning frameworks (Tensorflow, Caffe, Theano/Keras, Scikit-Learn, Spark/Mlib, R etc.)
• Practical experience with data visualization libraries and tools (like Bokeh, Seaborn, D3.js, Tableau etc.)
• Familiarity with programming languages such as C/C++, Python, Java or Perl.
• Excellent communication skills and capability to present technological concepts coherently to the business and innovation process.
• Team player with inter-cultural competencies.
• Strong skills in solving analytical problems.
• Willingness to Travel.

Interested applicants, kindly send in a copy of your updated resume in WORD document to hr@searchstaffing.com.sg stating your current and expected remuneration together with notice period required to current employer.

You can also contact Vincent Low for a confidential discussion at 6749 4236.

EA Personnel Registration No: R1324700

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