Company Introduction :
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)
- Transport, Meal, Birthday Allowances (upon Confirmation)
- 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.