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 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.#J-18808-Ljbffr