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.
Role: Junior Machine Learning Engineer
Location: Puchong, Malaysia
Salary Range: MYR 3,500 - 7,000 per month
Position Overview
We are seeking a highly motivated and detail-oriented Junior Machine Learning Engineer to join our fast-paced, high-performing engineering team. The ideal candidate is passionate about artificial intelligence and has a strong academic foundation, particularly in Natural Language Processing (NLP) and Python development. This role plays a key part in building and improving our AI-powered legal technology platform, with a focus on data preparation, model training, and deploying intelligent solutions that support legal professionals worldwide.
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.
Qualifications
Education: Degree in IT, Engineering, Computer Science, or related fields.
Fresh graduates are encouraged to apply.
1-3 years working experience in related fields
CGPA: Minimum 3.5 CGPA (or provide a recommendation letter if lower).
Proficiency in Python (including libraries like pandas, numpy, nltk, sklearn, requests, bs4).
Experience with Natural Language Processing (NLP) (a must).
Familiarity with Jupyter Notebook or PyCharm IDE.
Strong teamwork, interpersonal, and communication skills.
Ability to work in a fast-paced environment.
Experience in machine learning, NLP, computer vision, or neural networks.
Practical experience with Python libraries for machine learning tasks.
Familiarity with data analysis and visualization tools.
Send your resume to hr@nexlaw.ai and
Opportunities for promotion
Professional development
Work from home
Application Question(s):
Are you experienced in data preprocessing and feature engineering for machine learning models?
Have you used Python and machine learning libraries such as TensorFlow, PyTorch, or scikit-learn in your projects?
Have you automated any parts of your machine learning workflow using cloud services (AWS, GCP, or Vertex Al)?
NLP Model Development: Have you built NLP models for tasks like text classification, entity recognition, or semantic analysis, ideally for legal texts (e.g., contracts or case law)?
Education:
Bachelor's (Preferred)
Experience:
Machine Learning: 1 year (Preferred)
Work Location: In person
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