jobs in HAL COMPLETIONS MFG PTE. LTD.

Full Time Technical Professional - Data Science (AI Engineer) Jobs, Salary up to SGD 8,000 in HAL COMPLETIONS MFG PTE. LTD. West Region (Singapore) - Maukerja

Technical Professional - Data Science (AI Engineer)

HAL COMPLETIONS MFG PTE. LTD.

SGD8,000 - SGD8,000 Per Month

West Region (Singapore)

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Working Location

  • 11 TUAS SOUTH AVENUE 12 West Region (Singapore) Singapore

Job Description

Responsibilities

Job Duties

  • Under general supervision, a Data Scientist will perform data engineering, data modelling, or model deployment.
  • A Data Scientist will collaborate to obtain data from sources, complete data clean-up and build a data dictionary under guidance.
  • This role can build models under guidance and understand how to deploy the model and assist in the deployment process.
  • Transition legacy SQL Server reporting infrastructure to a Snowflake-based data lake architecture
  • Understand business requirements, analyze operational challenges, and develop AI-driven solutions that deliver measurable business value and process improvements.
  • Design, develop, and implement AI/ML models and algorithms.
  • Build and deploy machine learning, deep learning, and NLP solutions.
  • Work with structured and unstructured datasets to extract meaningful insights.
  • Develop and optimize data pipelines for model training and deployment.
  • Integrate AI models into applications through APIs or cloud platforms.
  • Monitor model performance and continuously improve model accuracy and efficiency.
  • Stay updated with the latest advancements in AI and machine learning technologies.
  • Document technical solutions, models, and development processes.


Qualification

  • Bachelor’s or Master’s degree in computer science, Artificial Intelligence, Data Science, or related field
  • Minimum 3 years of relevant experience in AI/ML development, data engineering, or related fields

Preferred Certifications (Added Advantage)

  • AI / Machine Learning certifications
  • Data Analyst certifications
  • Data Science certifications
  • Cloud certifications (Azure, AWS, or GCP)

Required skills:

  • Strong programming skills in Python (preferred), Java, or C++
  • Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Hands-on experience with Snowflake data platform


Additional competencies:

  • Knowledge of data structures, algorithms, and statistical analysis
  • Experience with NLP, computer vision, or predictive modeling
  • Familiarity with cloud platforms such as Azure, AWS, or GCP
  • Experience with APIs, microservices, and system integration
  • Strong analytical, problem-solving, and communication skills

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