Adarga

Machine Learning Engineer

May 16, 2022

Anywhere

Adarga is a rapidly scaling organisation and we are growing our technology department. As a Machine Learning (ML) engineer within the product team, you will bring your expertise to a full stack technology team working to solve Natural Language Processing (NLP) linguistic challenges. Adarga is product focussed and is developing the world’s leading AI software to provide effortless access to knowledge from real world data and enable our customers to make better decisions. We are looking for an experienced ML engineer with a focus on deploying deep learning models to a production cloud environment and a strong computer science background. You will be hands-on with day-to-day project work focussed on deploying technical solutions to deliver a roadmap which is aligned to core product features. You will also work alongside a product manager to develop new features. The ML engineer will be responsible within the product team to implement Adarga’s ML Ops strategy. This is a strategic initiative to ensure, repeatability, explainability and operational efficiency are ingrained in our AI software. As the ML Engineer, you will report to the product tech lead and data science manager. Requirements Essential skills Experience of establishing and managing ML flow / pipelinesExperience deploying Data Science solutions in a commercial environment and the ability to quantify model deployment success criteriaExcellent awareness of software engineering and coding best practicesExperience of establishing and managing ML flow / pipelinesExperience building and deploying solutions to the CloudML Ops research is advancing at a rapid pace, an enthusiasm for continual learning is required to maintain your expertiseExcellent communication skills and awareness of project management techniques, capable of operating within a team of 6-7 people to influence and develop best practiceAbility to thrive effectively in predominantly remote working environmentMSc or equivalent professional experience in a ML/Data Engineering/Computer Science role Nice to have skills Experience of modern NLP techniques is an advantageExperience of using data science platforms and frameworks, for data tagging, model training and benchmarkingAn experimentation mindset to solve business problemsKnowledge of AI techniques, including how to train, fine tune and apply deep learning modelsExperience of some of the following technologies (or equivalent) would be beneficial, Python, Seldon, Helm, Pachyderm, AWS or other cloud technologies, Kubernetes, Docker, Knowledge graphs, Graph databases, SQL and Relational databases. Further information At Adarga we use Kanban principles and daily stand-ups to track work tasks and it will be your responsibility to attend these and document your work to ensure it is repeatable. It will be necessary to take part in cross functional and cross team communication to enhance collaboration, these will take the form of knowledge shares, reading groups, chapter group meetings, workshops and innovation projects. You will be set quarterly OKR’s and these will be reviewed frequently with your line manager. As a member of the team, you may be required to mentor junior team members, contribute to technology discussions, support academic and AI community engagements, marketing events, and recruitment activities. Contact careers@adarga.ai  Find out more about Adarga: https://adarga.ai/careers  Recruitment company statement  We approach everything with transparency and integrity. To avoid wasting anyone’s time, here is our policy on working with recruitment companies:  At present, we are not working with any new recruitment agencies, because we only want to work directly with individual applicants who can contact our People Team through careers@adarga.ai

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