Engineer / Senior Engineer - Edge Analytic & Learning

Senior Software Engineer

Machine Learning Engineering Manager

Responsibilities: <ul><li>To work with other stakeholders to design the data required for learning the device &amp; user behaviors.</li><li>To mine &amp; analyze the data available to understand the device and user behaviors.&nbsp;</li><li>To work with IoT cloud and data analytic teams to distribute the computation resource between cloud and edge.&nbsp;</li><li>To provide the best approach for the target applications, to train and implement the model into the edge device.</li><li>To continuously improve the model to enhance the user experience &amp; device productivity.</li><li>To closely tracking the R&amp;D results and to work with research institutions for projects.</li></ul> Requirements: <ul><li>University degree (MSc, MPhy or PhD) in data science, machine learning, statistic. Priority will be given to candidates with major in any of the 2 subjects.</li><li>3+ years experience in data analytic or machine learning for IoT applications, e.g. automatic temperature control for smart thermostats, predictive device maintenance, etc.</li><li>Solid knowledge in mathematics, statistic &amp; probability.</li><li>Solid experiences in data labelling, statistical modelling (regression, clustering), supervised &amp; unsupervised learning, DNN models for different applications.</li><li>Solid experiences in identifying valuable data, data collection method, processing of structured and unstructured data, mining trends &amp; pattern from data, predictive modelling.</li><li>Strong mindset of real-time implementation, to ensure the algorithm developed is realistic for real-time &amp; scalable applications.</li><li>Hands on experience in coding with Python, R, Java, C++.</li><li>Hands on experience in software tools, such as TensorFlow, PyTorch, Keras, Caffe, Spark, Hadoop, Hive, NoSQL.</li><li>Strong analytical &amp; innovative mindsets, strong system debug skill, thinking positive, be bumble &amp; open-minded.</li><li>A stakeholder in edge computing for the FW team and a good team player.</li><li>Good command of English and communication skill.</li></ul>

Role Description: <ul><li>The Senior Software Engineer will be responsible for the implementation of Robotic Process Automation (RPA) &amp; AI solutions &amp; Business Process Automation and IOT Solutions.</li><li>The Senior Software Engineer responsibility will be to build and implement RPA/AI / IOT Solutions and participate in Research and Development Projects.</li><li>In this role, the applicant should be a team player with a keen eye for detail and problem-solving skills.</li></ul> Responsibilities: At least 3 years strong experience in Software Development. <ul><li>Proven experience as a Back-end developer, with proficiency in the following programming languages and technologies:</li><li>Front-end: HTML, CSS, JavaScript, React, Angular, or Vue.js.</li><li>Back-end: Python, Java, C#, Node.js, Ruby, or PHP.</li><li>Database: SQL, MySQL, PostgreSQL, or NoSQL.</li><li>Experience with AI, machine learning, and deep learning frameworks such as TensorFlow, Keras, PyTorch, or scikit-learn would be a definite advantage.</li><li>Knowledge of RPA tools and platforms like UiPath, Automation Anywhere, or Blue Prism would be a definite advantage.</li><li>Work with the team to design algorithms and flowcharts.  Produce clean, efficient code based on specifications.</li><li>Troubleshoot, debug and upgrade existing software.</li><li>Gather and evaluate user feedback.</li><li>Recommend and execute improvements.</li><li>Create technical documentation for reference and reporting.</li><li>Work with clients and software developers to execute RPA &amp; AI initiatives by analysing potential Process for Automation.</li><li>Participate in existing Research &amp; Development Projects in AI and IOT.</li></ul> Requirements: <ul><li>Bachelor degree in an appropriate subject (e.g. computer science, Software engineering or any relevant professional certificate(s)) At least 3-5 years hands-on experience in any programming language listed above</li><li>Strong problem-solving and analytical skills.</li><li>Ability to adapt to changing technologies and industry trends.</li><li>Self-motivated, with a strong drive for continuous learning and personal development.</li></ul>

Role: <ul><li>Design, develop, deploy, and maintain data science and machine learning solutions to meet enterprise goals.</li><li>Collaborate with product owners, data scientists &amp; analysts to identify innovative &amp; optimal machine learning solutions that leverage data to meet business goals.</li><li>Contribute to development, rollout and onboarding of data scientists and ML use-cases to enterprise wide MLOps framework.</li><li>Scale the proven ML use-cases across the SAPMENA region.</li><li>Be responsible for optimal ML costs.</li></ul> Responsibilities: <ul><li>Deep understanding of business/functional needs, problem statements and objectives/success criteria</li><li>Collaborate with internal and external stakeholders including business, data scientists, project and partners teams in translating business and functional needs into machine learning problem statements and specific deliverables</li><li>Act as the ‘Conduit’ between product owners, data scientists, data analysts and data engineers to develop best-fit end-to-end ML solutions including but not limited to algorithms, models, pipelines, training, inference, testing, performance tuning, deployments</li><li>Review MVP implementations, provide recommendations and ensure ML best practices and guidelines are followed</li><li>Act as ‘Owner’ of end-to-end machine learning systems and their scaling</li><li>Translate machine learning algorithms into production-level code with distributed training, custom containers and optimal model serving</li><li>Industrialize end-to-end MLOps life cycle management activities including model registry, pipelines, experiments, feature store, CI-CD-CT-CE with Kubeflow/TFX</li><li>Accountable for creating, monitoring drifts leveraging continuous evaluation tools and optimizing performance and overall costs</li><li>Evaluate, establish guidelines, and lead transformation with emerging technologies and practices for Data Science, ML, MLOps, Data Ops</li></ul>&nbsp;Requirements: <ul><li>Preferred education qualifications: Bachelor/ Masters degree in Computer Science OR Data Science OR Applied Mathematics OR related technical degree</li><li>Required experience: 8-10 Years</li><li>5+ years in developing and deploying enterprise-scale ML solutions</li><li>Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration),</li><li>Proficiency in Data Science/ML algorithms such as regression, classification, clustering, decision trees, random forest, gradient boosting, recommendation, dimensionality reduction, deep learning, and ensemble</li><li>Proven expertise in Scikit-learn, XGBoost, LightGBM, TensorFlow</li><li>Prior experience on MLOps with Kubeflow or TFX</li><li>Advanced programming skills with Python/R and SQL</li><li>Prior experience on Data Science &amp; ML Engineering in public clouds (such as Google Cloud, AWS, Azure)</li><li>Strong technical understanding of Data &amp; Analytics concepts</li><li>Google Cloud Platform certifications (Professional Machine Learning Engineer) will be a big plus</li><li>Experience in Retail/FMCG domain is preferred</li><li>Experience in training with large volume of data (&gt;100 GB)</li><li>Experience in delivering ML projects using Agile methodologies is preferred</li><li>Proven ability to effectively communicate technical concepts and results to technical &amp; business audiences in a comprehensive manner</li><li>Proven ability to work proactively and independently to address product requirements and design optimal solutions</li><li>Fluency in English, strong communication and organizational capabilities; and ability to work in a matrix/ multidisciplinary team</li></ul>

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Engineer / Senior Engineer - Edge Analytic & Learning

Senior Software Engineer

Machine Learning Engineering Manager

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Engineer / Senior Engineer - Edge Analytic & Learning

Senior Software Engineer

Machine Learning Engineering Manager

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