Job Description

About NEXLAW.AI

NEXLAW.AI is a pioneering legal AI company dedicated to revolutionizing the legal industry through intelligent automation and machine learning. Based in San Francisco, California, with global operations and a focus on providing "Litigation & Dispute Resolution" AI solutions, NEXLAW.AI develops innovative tools such as TrialPrep, NeXa - Legal Assistant and ChronoVault to assist legal professionals and individuals in optimizing legal research, streamlining Trial Preparation.

We are seeking a highly motivated and skilled Machine Learning Engineer to join our team in Malaysia. This role is crucial in developing, deploying, and maintaining the core AI models that power our innovative legal platforms.

Role: Machine Learning Engineer

Location: Malaysia

Salary Range: MYR 3,500 - 5,000 per month

Responsibilities:

Model Development and Implementation: Design, develop, and deploy machine learning models and algorithms tailored for legal applications, including Natural Language Processing (NLP) tasks such as text summarization, contract analysis, and legal document generation. Data Preparation and Feature Engineering: Collaborate with data scientists and legal experts to preprocess, clean, and analyze large legal datasets, ensuring data quality and relevance for model training. Model Optimization and Evaluation: Evaluate the performance of machine learning models, fine-tune hyperparameters, and implement strategies to improve accuracy, efficiency, and scalability. Infrastructure and Deployment: Work closely with software engineers to integrate ML models into production systems, managing and maintaining the infrastructure necessary for scalable and reliable AI solutions. Research and Innovation: Stay abreast of the latest advancements in machine learning and AI, applying innovative techniques to enhance existing products and develop new functionalities within the legal tech domain.

Requirements:

Educational Background: A Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related technical field.

Technical Skills:

Proficiency in Python and experience with relevant ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of fundamental machine learning concepts, algorithms, and data structures. Familiarity with NLP techniques and tools (e.g., spaCy, NLTK) is highly desirable, given NEXLAW.AI's focus on legal text analysis. Experience with version control systems (Git). Cloud and MLOps (Bonus): Experience with cloud platforms such as AWS and GCP, including knowledge of Vertex AI, is a significant advantage. Analytical Skills: Solid mathematical and statistical foundation, including knowledge of linear algebra, calculus, and probability. Problem-Solving: Strong analytical and problem-solving skills with the ability to translate business challenges into actionable machine learning solutions. Communication: Excellent communication skills, both written and verbal, with the ability to explain technical concepts clearly to diverse audiences.

Why Join NEXLAW.AI?

Be part of a dynamic and innovative company at the forefront of AI legal technology.

Work on challenging and impactful projects that are transforming the legal industry.

Collaborate with a global team of experts in AI, technology, and law.

Opportunity for continuous learning and professional growth in a rapidly evolving field.

Be part of a dynamic and innovative company at the forefront of AI legal technology.

Job Type: Full-time

Pay: RM3,500.00 - RM5,000.00 per month

Application Question(s):

Given NEXLAW.AI's focus on legal documents, such as contract review and summarization, please describe your experience working with Natural Language Processing (NLP) techniques. Which specific NLP libraries (e.g., spaCy, NLTK, Hugging Face) are you most proficient in, and how have you applied them in a project? Can you briefly describe a machine learning project you have worked on from conception to deployment? What ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) did you utilize, and what challenges did you face when integrating the model into a production environment? The job description mentions experience with cloud platforms, including AWS and GCP (specifically Vertex AI), as a bonus. Do you have experience deploying or managing ML models on these platforms? If so, please elaborate on your experience with Vertex AI or similar MLOps tools. The salary range for this position is MYR 3,500-5,000 per month, based in Malaysia. Does this range align with your salary expectations, and are you currently located in or willing to work in Malaysia?
Work Location: In person