Persyaratan
3 - 5 tahun pengalaman
Minimal Sarjana (S1)
Loker ini dikelola oleh
Yogies sri
Skills
Deskripsi pekerjaan Machine Learning Engineer Krenovator Sdn Bhd
JOB DESCRIPTION
▪ Languages and Tools:
→ Proficient in Python, R, Java, and expertise in libraries and frameworks such as
TensorFlow, PyTorch, scikit-learn, and Keras.
→ Experience with cloud platforms like AWS, Azure, Google Cloud, and familiarity
with big data technologies including Hadoop and Spark.
→ Modelling and Dev-Ops experience for Machine Learning
→ Experience with latest LLM models currently being rolled-out in consumer-facing
generative AI tools.
▪ Skills:
→ Expertise in Machine Learning, Deep Learning, Reinforcement Learning, and
introductory knowledge in Quantum Computing.
→ In-depth understanding of neural network architectures, including CNNs, RNNs,
and attention mechanisms.
→ Specialized topics: Transfer learning, ensemble methods, and model explainability.
→ Exploration of advanced topics like GANs and reinforcement learning.
→ Demonstrated experience in AI project collaboration, leading initiatives, and
supporting team members.
→ Strong understanding of machine learning algorithms and techniques, including
supervised, unsupervised learning, and deep learning, complemented by skills in
data preprocessing, feature engineering, and model evaluation.
→ Solid foundation in statistics, probability, and linear algebra with excellent problemsolving skills and attention to detail.
→ Effective communication and collaboration abilities, capable of working in a team
environment.
→ Ability to collaborate with cross-functional teams to define machine learning
objectives, alongside researching, designing, and implementing models to solve
business challenges.
→ Proficiency in cleaning, preprocessing, and analyzing large datasets, optimizing
machine learning models for performance, and staying abreast of AI research
advancements.
→ Skilled in communicating findings to stakeholders.
▪ Certifications obtained (list not exhaustive):
→ Azure: AI Fundamentals AI-900 and Azure AI Engineer AI-102
→ GCP: Cloud Digital Leader, Cloud Engineer, Machine Learning Engineer
→ AWS: Cloud Practitioner CLF-C02 and Machine Learning MLS-C01
▪ Background before apprenticeship:
→ Bachelor's degree or higher from a top-tier university in technical subjects such as
Computer Science, Engineering or Quantitative ones (such as Mathematics,
Physics, Econometrics)
→ Average of 1 year of work experience in AI-related research and development with a
focus on computer vision, reinforcement learning, and natural language
understanding and/or average of 1 year experience in a Machine Learning Developer
or Junior Data Scientist position
Tips Aman Cari Kerja
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