Machine Learning / Artificial Intelligence Engineer - Bangkok

Long-term contract
Localisation Bangkok, Thailand
No remote
From 3 yrs of exp.
Posted on 09-19-2024

Greenergy (Thailand) Co.,Ltd

In just eight years since its establishment, GREENERGY (THAILAND) has achieved a remarkable feat by exceeding a revenue milestone of over 1 billion THB.

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Position Overview:

We are seeking a skilled Machine Learning / Artificial Intelligence Engineer with a passion for renewable energy and data science to join our team. In this role, you will be instrumental in developing and deploying AI models tailored to the unique challenges of the solar industry. Your work will span across a variety of products and services, including predictive maintenance, energy generation and load forecasting, data forensic analysis, system performance optimization, workforce efficiency analysis, and financial performance analysis.

Key Responsibilities:

  • Develop and Deploy ML/AI Models:
  • Design, implement, and deploy machine learning algorithms specifically tailored to the renewable industry. This includes models for predictive maintenance, energy generation and load forecasting, system performance analysis, satellite image analysis, and other related topics.
  • Build models that analyze data from solar systems to detect anomalies, predict equipment failures, and optimize energy production.
  • Data Analysis and Feature Engineering:
  • Conduct in-depth analysis of large datasets, including time series electrical ans system data from solar installations, to identify patterns and trends that inform model development.
  • Perform feature engineering to improve the accuracy and performance of AI models.
  • Advanced Analytics for Solar Systems:
  • Develop models for data forensic analysis to understand and prevent accidents within solar installations.
  • Implement AI solutions for workforce performance analysis, optimizing O&M teams’ efficiency and effectiveness.
  • Create models for cost and profit analysis, providing insights that drive financial optimization for solar projects.
  • Integration and Automation:
  • Collaborate with software engineers to integrate AI models into our products, ensuring seamless operation and scalability.
  • Automate data pipelines and model retraining processes to maintain high accuracy over time.
  • Performance Monitoring and Continuous Improvement:
  • Continuously monitor the performance of AI models in production, adjusting as necessary to improve accuracy and reliability.
  • Stay abreast of the latest advancements in AI and machine learning technologies, exploring new techniques that can be applied to our products and services.
  • Collaborative Development:
  • Work closely with product development team, management, advisor, and other stakeholders to understand business requirements and translate them into technical solutions.
  • Engage in cross-functional teams to design and deliver innovative AI-driven solutions that align with Green-Z’s vision and goals.
  • Documentation and Knowledge Sharing:
  • Maintain thorough documentation of models, algorithms, and processes to ensure knowledge sharing and reproducibility within the team.
  • Provide technical guidance and mentorship to junior engineers and data scientists.
Profile

Qualifications:

  • Education:
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, or a related field with a focus on machine learning or AI.
  • Experience:
  • 3+ years of experience in machine learning, AI, or data science roles, preferably within the energy or technology sector.
  • Proven experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar tools.
  • Experience in developing models for time series analysis, anomaly detection, and predictive maintenance.
  • Strong background in deploying AI models on cloud platforms such as AWS, Azure, or Google Cloud, particularly within the context of scalable AI solutions.
  • Technical Skills:
  • Proficiency in Python with a strong focus on data manipulation and analysis.
  • Experience with machine learning, deep learning, NLP, and computer vision.
  • Expertise in using tools for data preparation and feature engineering.
  • Knowledge and experience in commonly used ML algorithms such as Regression, SVM, kNN, Gradient Boosting, etc.
  • Knowledge and experience in advance ML/AI models such as Transformers, GANs, LLMs, Multimodal, GPT, Gemini, etc., will be given special consideration.
  • Knowledge of advanced analytics tools, such as Tableau, Power BI, and Jupyter notebooks, for data visualization and analysis.
  • Soft Skills:
  • Strong problem-solving skills with the ability to think creatively and innovate within the constraints of the solar industry.
  • Excellent communication and teamwork skills, capable of working collaboratively in a diverse and fast-paced environment.
  • Thirst for new knowledge and skills in Machine Learning and Artificial Intelligence fields.
  • A passion for sustainability and a commitment to contributing to a greener future through advanced technology.