Machine Learning Engineer Jobs at HugoBank in Karāchi, Sindh

Welcome to our job portal, where HugoBank is offering exciting employment opportunities for the position of Machine Learning Engineer in the Sindh area. We are currently seeking Full-time candidates.

We are looking for individuals who possess excellent Engineering skills and have relevant Entry level in the field. Moreover, we highly value traits such as honesty, discipline, and accountability in our prospective employees.

At HugoBank, we offer a competitive estimated salary of approximately Rs 23,000 - Rs 90,000 (per Month). However, please note that the final salary offer will be determined by the company based on various factors.

As a company operating in the Technology & Information and Internet industry, we provide a wide range of professional opportunities. If you are interested in exploring a rewarding career path with HugoBank, we encourage you to submit your application directly through our website.

Join our growing team and embark on a fulfilling career journey with HugoBank. Don't miss out on the chance to be part of our dynamic work environment. Apply now and take the first step towards a bright future.

Job Information

Job Description

About HugoBank

HugoBank, a leader in digital banking based in Pakistan, is a subsidiary of a renowned Singapore-based consortium. As pioneers in the financial sector, our engagement with the community goes beyond just business. We are powered by a vision to offer innovative financial solutions while fostering community growth and upholding sustainable development principles.

Job Description:

HugoBank is a trailblazer in digital banking in Pakistan, committed to delivering exceptional services and customer experiences. We are seeking passionate individuals who are specialized in developing and implementing machine learning models with a focus on Natural Language Processing (NLP) for the Transaction Categorization and Spending Pattern Analysis Engines. This involves interpreting and processing large volumes of textual data to categorize transactions and identify spending habits.

Functions:

• Design and deploy NLP models to understand and categorize transaction descriptions.
• Use machine learning to analyze spending patterns and identify trends from transaction data.
• Collaborate with data engineers to ensure the seamless integration of NLP models.
• Continuously evaluate and refine models based on new data and business needs.

Requirements:

• Programming: Proficiency in Python or R, and software development principles.
• Machine Learning: Deep knowledge of techniques and frameworks, particularly those relevant to NLP (e.g., RNNs, LSTMs, Transformers).
• Natural Language Processing: Strong understanding of NLP concepts (tokenization, lemmatization, named entity recognition, sentiment analysis) and experience with libraries like NLTK, SpaCy, or Hugging Face’s Transformers.
• Data Preprocessing: Ability to clean and preprocess textual data for NLP tasks.
• Feature Engineering: Skill in deriving meaningful features from text to improve model predictions.
• Statistics: Background in statistics to analyze data and validate model performance.
• Database Management: Experience with SQL/NoSQL databases for handling structured and unstructured data.
• Data Visualization: Proficiency in data visualization tools to represent results and insights.
• Problem-Solving: Analytical and problem-solving skills for innovative data solutions.

Benefit

• Gaining experience
• Taught first
• Receiving a bonus for overtime

Application Requirements

• Good communication skills
• Strong team skills
• Experience in similar work

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