Senior Machine Learning Architect

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Senior Machine Learning Architect

As a Senior Machine Learning Architect in ALEF Education, you should have exposure to work in a fast-paced Agile IT environment.

Your main responsibility is to build complex data processing pipelines, design and implement machine learning algorithms. You will help envision our machine learning strategy at scale and help build the future of Education Science. You also manage a small team of NLP specialists who work on NLP solutions.

As a member of our data science and machine learning team, you will be interacting with multi-functional teams for data preparation and applying machine learning/data mining algorithms in efficient workflows to process large-scale data.

This role will be responsible for both managing a team and delivering projects from end-to-end: problem statement and conceptualization, proof-of-concept, and participation in the final deployment. You will also perform ad-hoc statistical and data science analyses where required.

Provided technical leadership to internal and external stakeholders

• Provide Technical authority in prospective meetings with other departments, evaluate technical proposals from suppliers, and implement recommendations to stakeholders.
• Provide Hands-on Technical leadership, in the development, operation, and improvement of services. Work closely with the wider team to ensure high-quality code is delivered in line with the project goals and delivery cycles.
• Work with product managers to understand user needs for new/existing services.
• Work with delivery teams breaking technical requirements down, identify API requirements for integration with internal/external systems.
• Proactively advise on best practices.

Lead the design and prototype of data

• Lead the design and prototype algorithms that run on cloud-based big data environments, identify technical options/inform architectural approaches, working with team members to write tests, code, and documentation for new/existing systems.
• Develop and maintain data infrastructure systems that power statistical and machine learning models on large-scale datasets.
• Understand algorithms, especially NLP models, (be able to tweak them when needed) as well as infrastructure that enables fast iterations

Manage development teams

• Manage development team, provide feedback and manage performance.
• Identify opportunities for new algorithms and hardware improvements for future products.
• Work closely with Data Science, Data Engineering and Feature teams.

Identify new ideas to build and evolve machine learning solutions

• Own data quality throughout all data lifecycles, including acquisition, cleaning, processing, and validation.
• Build platforms to facilitate the rapid iteration of machine learning and optimization algorithms.
• Identify new ideas to build and evolve Machine Learning solutions, develop new features, and benchmark possible solutions.
• Engineer new features to improve algorithm predictions

Education, Experience and Required Skills

• Minimum 7 years
• Experience in productionizing data-driven algorithms
• 3 + years of strong data analysis skills, including NLP and Deep Learning
• Experience working with educational data sets.
• Experience in working on large datasets related to industry verticals, preferably Education Science
• Experienced user of Python libraries, particularly NLP ones.
• Working experience of deep learning and transformer algorithms and workflows, and experience with any of the frameworks like Torch, Caffe, MXNet, TensorFlow