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 and Evaluation: Train, validate, and tune machine learning models to achieve optimal performance. -Deployment: Deploy models into production and integrate them with existing systems. -Monitoring and 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. [Apply now at https://my.hiredly.com/jobs/jobs-malaysia-snsoft-sdn-bhd-job-ai-engineer] ; Requirements:- -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.