Machine Learning Engineer

Quid(NetBase)

,Quid,,30%!

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At Quid, a leader in harnessing cutting-edge technology, we tackle real-world challenges with innovative solutions. We're on the lookout for enthusiastic and entrepreneurial software developers eager to contribute to our engineering team's efforts in developing groundbreaking data analytics tools

As a member in product development team, you will be part of team to solve word-class data analytic challenges, reinvent the way surfacing insights from massive amounts of social media, survey data, news and industry databases, to assist our customer making data-driven business decisions.

As a Machine Learning Engineer, you will play a key role in every stage of AI feature development, which include machine learning methodology researching, AI system design and implementation.

Key Responsibilities:

Design, build, and maintain scalable AI solutions in a production environment.

Develop, train, and test both supervised and unsupervised machine learning models across various tasks, from logistic regression and neural networks to clustering techniques.

Adopt emerging technologies and methodologies in automation, data analytics, and AI.

Debug and troubleshoot development, testing, and production issues, ensuring robust and reliable software performance.

Maintain a high standard of quality assurance by testing and reviewing code.

Proactively seek and explore new innovative initiatives that could benefit our technology stack and product offerings.

Required Qualifications:

At least three years of software industry experience owning and driving Data Science or NLP projects

Proficient in applying machine learning techniques to natural language processing, data mining, and content discovery.

Proficient in Python software development principles and design patterns, with an in-depth understanding of its associated ecosystems.

Exceptional problem-solving abilities and capacity to work autonomously or as part of a team.

Familiar with Generative AI related techs including prompting engineering and fine-tuning and experienced on using OpenAI API and self-hosting models such as llama-3.

Familiar with technologies like Tensorflow, Pytorch, SparkMLlib, and Scikit-learn

Familiar with Docker and Kubernetes.

Preferred Qualifications

Embrace fast iteration and MVP mindset.

Familiar with Java programming.

Familiar with technologies of the LLM ecosystem, such as Langchain, finetuning, etc.

Familiar with CI/CD practices for streamlined software delivery.

Familiar with big data processing frameworks such as Hadoop and Spark.