hybrid

Machine Learning Lead

As a Machine Learning Lead, you will be a foundational member of the team, responsible for advancing newmode.ai's multilingual conversational AI platform. You will maintain a state-of-the-art ML framework by integrating the latest deep learning and NLP technologies, and design and implement robust ML systems and ETL pipelines. This role requires significant expertise in Python and deep learning frameworks to drive innovation and contribute to core platform features.

About the role

About the Role

As the Machine Learning Lead and one of the first employees at newmode.ai, you will be instrumental in developing the world's leading multilingual conversational AI platform. Joining early in our journey, you are encouraged to be limitless, truly creative, and innovative in shaping how the platform is built. Your primary responsibility will be to keep our ML framework state-of-the-art by adapting the latest deep learning and natural language processing technologies from the academic and open-source communities. We are looking for an experienced, ambitious, and driven individual.

Qualities/Attitude

Understanding that ‘perfect is the enemy of good’ in both engineering and non-engineering roles.
You are equally a thinker and doer.
You're equally excited about being part of a rapid growth journey and accepting the innate uncertainty and constant change.
Good organisational skills (including time and task management, and working efficiently as part of a team).
Work in a straightforward, collaborative, and inclusive way and is non-political.

Responsibilities

Build and expand on existing NLP algorithms.
Transform data science prototypes and apply appropriate ML algorithms and tools.
Design machine learning systems.
Develop robust ETL pipelines and automated processes for ingesting and processing data.
Manage available resources such as hardware, data, and personnel to meet deadlines.
Maintain, debug, and improve our ML infrastructure.
Increase automation, simplify, and improve the ML pipelines.
Work closely with the technical CEO to plan, implement, release, and maintain new features and functionality in our technology platform.
Debug reported issues with the production system (customer or internal) and work on solutions in a timely manner.

Qualifications / Skills

Masters degree or (ideally) PhD in a technical discipline, e.g., computer science, physics, maths, or 3+ years of similar research experience.
3+ years in the search/AI-related field.
5+ years Python experience.
2+ years experience in deep learning frameworks, e.g., Tensorflow, Pytorch, MXNet, PaddlePaddle.
Experience with Transformers.
Able to implement the latest DL model using existing APIs and open-source libraries in a short time.
Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture.
Familiarity with the agile software development process, CI/CD workflow, ticket management, code review, version control, etc.
Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like sci-kit-learn), Linux and Cloud (AWS).
Good understanding of mainstream deep learning models from multiple domains: computer vision, NLP, reinforcement learning, model optimization, etc.

Nice to have

Relevant publications in high-impact journals.
Contributed to open-source projects.
Experience with Multilingual Language Models.
Kubernetes.
Knowledge of data pipelining (e.g., via Airflow) and prior experience with cloud-based ML model deployment.
Jina.ai, Haystack and any relevant Semantic Search technologies.