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Role – AI/ML Engineer
• Function/Department: Advanced Analytics
• Location: Kuala Lumpur, Malaysia
SRKAY is seeking a highly skilled and experienced Deep Learning Engineer with Generative AI experience to develop and scale our Generative AI capabilities. The ideal candidate will be responsible for designing, finetuning and training large language models and developing Generative AI systems that can create and improve conversational abilities and decision-making skills of our machines
Responsibilities:
• Develop and improve Generative AI systems to enable high quality decision making, to refine answers for queries, and to enhance automated communication capabilities.
• Own the entire process of data collection, training, and deploying machine learning models.
• Continuous research and implementation of cutting-edge techniques in deep learning, NLP and Generative AI to build state-of-the-art models.
• Work closely with Data Scientists and other Machine Learning Engineers to design and implement end-to-end solutions.
• Optimize and streamline deep learning training pipelines.
• Develop performance metrics to track the efficiency and accuracy of deep learning models.
Requirements :
• Minimum of 2+ years of industry experience in developing deep learning models with a focus on NLP and Generative AI.
• Expertise in deep learning frameworks such as Tensorflow, PyTorch and Keras.
• Experience working with cloud-based services such as Azure for training and deployment of deep learning models.
• Experience with Hugging Face's Transformer libraries.
• Expertise in developing and scaling Generative AI systems.
• Experience in large dataset processing, including pre-processing, cleaning and normalization.
• Proficient in programming languages such as Python ( preferred ) /R.
• Experience with natural language processing (NLP) techniques and libraries.
Bachelors/ Degree
SRKAY Consulting Group Sdn Bhd (d.b.a SCIKEY) - SCIKEY Talent Commerce (tCommerce) investment is an online marketplace supported by high degree of automation and engagement ecosystem for everything Talent. This venture redefines the way companies hire, contract and engage talent globally from completely physical to significantly digital giving them better choices, convenience and cost advantage that is not possible through traditional models.
Job ID: 151681597
Skills:
Scripting, Java, Orchestration, PowerShell, Itil, Gcp, Pytorch, Docker, Shell Script, Azure, Kubernetes, Python, LLMs, IT Service Automation, process assessment, AI ML libraries and frameworks, AI Engineering, GPT-4
Skills:
Python, Machine Learning, Deep Learning, Tensorflow, Pytorch, scikit-learn
Skills:
Python, Tensorflow, Java, Artificial Intelligence, Node, Natural Language Processing, Node.js, Machine Learning