AI Engineer

SNSoft Sdn Bhd; Kuala Lumpur; On-site; MYR 150,000 - 200,000; Full time

Job summary

A leading tech company in Kuala Lumpur is seeking a Machine Learning Engineer to design, develop, and deploy innovative machine learning models. Responsibilities include collaborating with cross-functional teams, analyzing data, and ensuring optimal model performance. Candidates should have a relevant degree and at least 3 years of experience in a similar role, along with strong programming skills in Python, Golang, or Java. This position offers a competitive salary and numerous employee benefits.

Benefits

Competitive salary range (MYR6,000- MYR10,000 per month)

Project Incentive based on performance

Sports Activities, Company Outing

Training and certification sponsored by company

Optical, Dental, Body Check Up Claim

Qualifications

• At least 3 years of experience as a Machine Learning Engineer or in a similar role.
• Proficient with machine learning frameworks and libraries.
• Familiarity with natural language processing concepts.

Responsibilities

• Design, build, and maintain scalable machine learning models.
• Analyze and preprocess data for model training.
• Train, validate, and tune machine learning models.

Skills

Python

Golang

Java

TensorFlow

PyTorch

JAX

scikit-learn

SQL

Hadoop

Spark

NumPy

Pandas

Matplotlib

Education

Bachelor’s or Master’s degree in Computer Science

Job description

At SNSoft, we're at the forefront of technological advancement, integrating cutting-edge solutions into everyday life. Our culture thrives on innovation, collaboration, and a commitment to excellence. We foster an inclusive environment where every team member's contribution is valued and where everyone has the opportunity to grow.

Benefits and Compensation

• Competitive salary range (MYR6,000- MYR10,000 per month, depending on experience).
• Project Incentive (upon Company Declaration based on project performance)
• Sports Activities (Badminton & Basketball), Company Outing
• Training and certification sponsored by company (Selected employees).
• Optical, Dental, Body Check Up Claim (upon Confirmation)

Job Summary

As a Machine Learning Engineer, your responsibilities will include designing, developing, and deploying machine learning models and algorithms to address complex challenges and improve our products and services. Additionally, you will play a key role in AI-enhanced customer service. You will collaborate closely with data scientists, software engineers, and domain experts to implement state-of-the-art machine learning solutions.

Key Responsibilities

• Model Development: Design, build, and maintain scalable machine learning models and algorithms.
• Data Analysis: Analyze and preprocess data from various sources to prepare it for model training.
• Model Training & Evaluation: Train, validate, and tune machine learning models to achieve optimal performance.
• Deployment: Deploy models into production and integrate them with existing systems.
• Monitoring & Maintenance: Monitor model performance in production and update models as necessary to ensure they remain accurate and relevant.
• Collaboration: Work with cross-functional teams, including data scientists, software engineers, and product managers, to understand requirements and deliver solutions.
• Research: Stay current with the latest developments in machine learning and AI to continuously improve our technology stack.

Required Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• Experience: Demonstrated at least 3 years experience as a Machine Learning Engineer or in a similar role.
• Programming Skills: Expertise in programming languages such as Python, golang, or Java.
• Machine Learning Frameworks: Proficient with machine learning frameworks and libraries like TensorFlow, PyTorch, JAX, scikit-learn, or equivalent.
• Data Management: Strong understanding of data management and processing tools such as SQL, Hadoop, Spark, etc.
• Problem-Solving: Exceptional analytical and problem-solving abilities.
• Data Analysis Tools: Skilled in using data analysis and visualization tools like NumPy, Pandas, and Matplotlib.
• NLP Experience: Familiarity with natural language processing concepts and large language models, including transformers and attention mechanisms.

Preferred Qualifications

• Advanced Education: Ph.D. in a relevant field.
• Domain Knowledge: Experience in specific domains such as natural language processing (NLP), recommendation systems, computer vision, etc.
• Big Data: Experience with big data technologies and distributed computing.
• Cloud Services: Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
• DevOps: Knowledge of CI/CD pipelines and tools for automating the deployment of machine learning models.