Data Ingestion Engineer (Machine Learning / Artificial Intelligence)
9 hours ago
This role offers the opportunity to work on cutting-edge ML technologies and contribute to transformative business solutions in a dynamic and collabor..
This role offers the opportunity to work on cutting-edge ML technologies and contribute to transformative business solutions in a dynamic and collaborative 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 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 @ 6421 4966 for a quicker response.
Connect with me on LinkedIn: www.linkedin.com/in/your-recruiter-celine-chan
Celine Chan | R21103433
Talentsis Pte Ltd | EA No: 20C0312
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