Generative AI Architect (ML&LLM) | Up to $12,000 | 5 Days | Clarke Quay #5252

PERSOLKELLY Singapore Pte Ltd (Formerly Kelly Services Singapore Pte Ltd); Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

An established industry player is seeking a talented AI Engineer to join their dynamic team. This role involves designing and implementing cutting-edge generative AI solutions, leveraging advanced machine learning and deep learning techniques. The ideal candidate will have a strong background in training large language models and deploying them in production environments. You will collaborate closely with internal teams to integrate innovative AI workflows, ensuring optimal performance and scalability. This is a fantastic opportunity to be at the forefront of AI technology, driving impactful projects in a vibrant work environment.

Qualifications

• 2+ years of experience in generative AI and LLM training.
• Expertise in MLOps/LLMOps and deep learning libraries.

Responsibilities

• Design and implement state-of-the-art AI solutions using ML and deep learning.
• Mentor team members and drive successful business outcomes.

Skills

Generative AI

Large Language Models (LLMs)

Machine Learning

Natural Language Processing (NLP)

Deep Learning

Data Structures and Algorithms

Python

JavaScript/Typescript

Education

Master's in Computer Science

Ph.D. in Artificial Intelligence

Tools

TensorFlow

PyTorch

Hugging Face Transformers

scikit-learn

Pandas

NumPy

Job description

1. 1 year contract

2. Salary Range: $8000 - $12,000

3. Working Location: Clarke Quay

4. Working Days & Time: Monday to Friday, 8.30am to 5.30pm

Job Responsibilities:

• Use ML, deep learning and Generative AI tools and other technologies to design, evangelize, and implement state-of-the-art solutions

• Define and implement best practices for building, testing, and deploying scalable AI solutions, with a focus on generative models and LLMs using proprietary provided models or open-source models

• Drive successful business outcomes by designing and building cloud hosted Generative AI solutions

• Implement strategies for efficient and effective training of LLMs to achieve optimal performance

• Work closely with Internal teams to integrate RAG workflows into their applications and systems and stay abreast of the latest developments in language models and generative AI technologies

• Experience with a public cloud AWS and on-premises setup. Relevant experience that showcases practical understanding of LLMs, Prompting, Fine- tuning, Vector DBs, Knowledge graph, Architectural Design for Information Retrieval using RAG

• Work in evaluating, building and fine-tuning different ML models, and LLMs to solve the problem

• Mentor team members and enable technical decision-making

Job Requirements:

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience

• 2+ years of hands-on experience in a technical role, specifically focusing on generative AI, with a strong emphasis on training Large Language Models (LLMs).

• Proven track record of successfully deploying and optimizing LLM models for inference in production environments

• Having experience working with LLM/RAG/FineTuning, Amazon Bedrock/Sagemaker JumpStart

• Knowledge of Open-source Models, Transformer Models, Encoder-decoder architecture, Latent Spaces, and LLM orchestration frameworks (e.g., LangChain, LlamaIndex), Vector Database

• Expert as NLP techniques. Should have worked with deep learning libraries (Transformers based models, LSTM, biLSTM, CNN, etc)

• Experience with other Machine Learning algorithms and tools (scikit-learn libraries, Pandas, Numpy, Tensorflow, PyTorch)

• Fluency in at least two programming languages Python, JavaScript/Typescript, NodeJS (Python preferred)

• Deep understanding of data structures and algorithms

• Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers

• Hands-on experience in MLOps/ LLMOps including data collection, data preparation, model training/ refinement, model validation, drift management and model serving

• Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences

• Excellent communication and collaboration skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders

If you are interested, please submit your application here.

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P-Serv Pte Ltd | EA License No: 90C3494 | EA Personnel No: R22107764 | EA Personnel Name: Sharmila Damodharan

You may also reach me at 9777 6201 for further information.