Machine Learning Jobs in Kajang
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Search Results - Machine Learning Jobs in Kajang
Daimler Trucks North America LLC-Kajang
Job Description - Data Scientist (Python, Problem Solving , Machine Learning) (MER0003L3Q)
Data Scientist (Python, Problem Solving , Machine Learning) Group : Mercedes-Benz Group AG
Description
Task Description:
• Advising the customer on the use...
EDOTCO Group-Kajang
Job Purpose
The Senior Data Scientist will contribute to the analysis and optimization of network and planning strategies within the EDOTCO Group, focusing on geospatial data. This role involves applying advanced analytics and machine learning...
REDtone Telecommunications Sdn Bhd-Kajang
Enhancement:
Contribute to the development and implementation of omni-channel strategies to enhance customer engagement and improve overall customer experience.
AI and Machine Learning Application: Utilize AI and machine learning techniques to optimize system...
Daimler Trucks North America LLC-Kajang
Job Description - Data Scientist (Python, Problem Solving , Machine Learning) (MER0003L3Q)
Data Scientist (Python, Problem Solving , Machine Learning) Group : Mercedes-Benz Group AG
Description
Task Description:
• Advising the customer...
Daimler AG (Canada)-Kajang
analysis and statistical analysis. Conception of labelling processes.
Selection, implementation and configuration of suitable (machine learning / semantic) models and procedures.
Conception and implementation of automated pipelines for model creation...
CFI Financial Group-Kajang
Who are we?
CFI Financial Group is an award-winning trading provider, possessing more than 25 years of experience with multiple offices around the world including London, Larnaca, Beirut, Amman, Dubai, Port Louis, and others.
CFI is hiring! Make...
GXBank-Kajang
and business inputs/reality.
• Being the analytics technical expert with hands-on experiences who uses large datasets, creative and strong in applying varieties of Generative AI, machine learning methodologies / algorithms with different data tools...
appcast.io -
Machine Learning jobs – More cities:
Monroe Consulting Group-Kajang
Scientist to lead thier data team.
Key Responsibilities: Lead a team of data scientists and analysts to drive data-driven decision-making across the organization.
Develop and implement advanced analytics and machine learning models to optimize business...
Daimler AG (Canada)-Kajang
data analysis and statistical analysis. Conception of labelling processes.
3. Selection, implementation and configuration of suitable (machine learning / semantic) models and procedures.
4. Conception and implementation of automated pipelines for model...
KGiSL-Kajang
Company Description
KGiSL is a BFSI-centric multiproduct Enterprise Software company with a focus on Insurance, Capital Markets, and Wealth Management segments. The company harnesses the power of Machine Learning (ML), Artificial Intelligence (AI...
Lenovo-Kajang
or similar AI certifications (Azure AI Engineer, AWS Machine Learning Specialty, etc.).
• Experience with open-source LLM platforms (e.g., Llama, Mistral, Falcon), vector DBs (e.g., FAISS, Weaviate), and retrieval-augmented generation (RAG).
• Familiarity...
appcast.io -
TROOPERS-Kajang
and business teams, and guide integration into web and app platforms.
• 3–5 years of product management experience, with at least 1–2 years focused on AI/ML or data products.
• Solid understanding of machine learning concepts, data pipelines, and model...
hiredly.com -
AirAsia-Kajang
Maintenance) to design and deploy data-driven solutions.
Build scalable
machine learning and optimization pipelines
for applications such as predictive maintenance, baggage handling efficiency, and disruption management.
Work closely with
engineering teams...
Versa Asia-Kajang
for additional and existing app functionalities
• Research into topics such as machine learning, automation and etc when needed
The Requirements:
• Current enrollment in a related degree program
• Strong desire to learn along with professional drive
• Solid...
hiredly.com -
Experian-Kajang
risk models, Fraud models etc.).• A strong understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN, etc.• Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, MultipleRegression, LOGIT...
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