This role offers the opportunity to work on cutting-edge ML technologies and contribute to transformative business solutions in a dynamic and collaborative MNC environment.
Job Responsibilities:
Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
Work closely with software engineers and DevOps teams to deploy models in production environments.
Implement APIs and integrate models into existing systems to enable real-time decision-making.
Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
Continuously refine models and algorithms based on user feedback and performance metrics.
Perform exploratory data analysis to uncover trends and insights.
Use statistical methods and visualization techniques to communicate findings to stakeholders.
Stay updated on advancements in ML and artificial intelligence (AI).
Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.
Job Requirements:
Min.
Bachelor's Degree in Computer Science, Data Science, Machine Learning, or a related field.
At least 4 years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
Familiarity with Large Language Models and Generative AI technologies is a plus.
Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Strong understanding of statistical analysis, probability theory, and hypothesis testing.
Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.
Excellent communication skills to articulate technical concepts to diverse stakeholders.
Your recruiter for this job:
WhatsApp Celine @
for a quicker response.
Connect with me on LinkedIn:
Celine Chan | R
Talentsis Pte Ltd | EA No: 20C0312
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