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Machine Learning Engineer

Machine Learning Engineer

SNSOFT SDN. BHD.Bangsar, Kuala Lumpur, Malaysia
1 hari lalu
Penerangan pekerjaan

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.
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