Sales - AI Architect, LLM & Gen AI

Monster.com SG Pte Limited; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

A leading company is seeking an experienced AI Architect to drive innovations in Artificial Intelligence and Machine Learning for future products. The role requires collaboration with cross-functional teams, engaging in model development, and ensuring alignment with business goals. Candidates must have a robust technical background and a passion for cutting-edge AI advancements.

Qualifications

• 5+ years professional experience building NLP/AI software.
• Experience in designing state-of-the-art product architecture.
• Hands-on experience in building scalable ML systems.

Responsibilities

• Lead exploration of Large Language Models and Generative AI.
• Automate ML pipelines for training and deployment.
• Maintain expertise in latest AI advancements.

Skills

Machine Learning

Artificial Intelligence

Generative AI

NLP algorithms

Cloud Technologies

Data analysis

Leadership

Collaboration

Education

Ph.D. in Computer Science or related field

M.S. in related field with 3+ years experience

Tools

PyTorch

TensorFlow

AWS

GCP

Kubernetes

Docker

Spark

Kafka

Job description

We are looking for a highly skilled and experienced AI Architect who has a robust understanding of Artificial Intelligence, Machine Learning, and Generative AI to help work on exciting technologies for future Apple products and bring them to life. You will collaborate with multi-functional teams of business SMEs, engineers, data scientists, designers, and researchers. This role is exceptionally technical and will require active engagement in all aspects of the work. You will be responsible for staying 1000 steps ahead, anticipating future needs, and bridging the gap between business and technical teams, ensuring that the technical architecture and solutions align with strategic goals and deliver measurable business values and KPIs.

In this role, you will focus on the following key areas:

• Working within a team of machine learning engineers of various specializations to prototype and ship world-class algorithms that are state-of-the-art.
• Leading the exploration and application of Large Language Models and Generative AI, including ventures into new areas such as multi-modal capabilities.
• Leading MLOps efforts, automating ML pipelines for training, testing, deployment, monitoring, and scaling AI models.
• Transforming prototypes into automation pipelines and deploying them to production; deciding when to use out-of-the-box solutions versus building custom solutions.
• Conducting ongoing data analysis to build new or fine-tune existing models like GPT to optimize results.
• Partnering closely with software engineers to implement these models into high-performing systems that enhance user experience globally.
• Engaging actively in all stages of model development, from ideation and experimentation to deployment.
• Communicating analysis results effectively to business partners and executives.
• Maintaining expertise in the latest AI advancements.
• Collaborating with team members to prepare presentations, papers, and patents for innovations.

Minimum Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field; or
• M.S. in a related field with 3+ years of experience applying machine learning to real business problems.
• Experience in designing and delivering state-of-the-art product architecture for end-to-end solutions.
• 5+ years of professional experience in building NLP/AI software and successfully releasing products to customers.
• 5+ years of hands-on experience in building scalable systems for training and evaluating machine learning/deep learning models.
• Experience with cutting-edge NLP algorithms, AI models, Multi-modal LLMs, contrastive learning, foundation models, diffusion models, and parameter-efficient fine-tuning of LLMs.
• Experience with cloud technologies and familiarity with AWS and GCP.

Preferred Qualifications:

• Experience deploying models for large-scale inference and optimization.
• Strong understanding of inference speed-up techniques such as speculative decoding and optimization of LLMs for human preferences.
• A proven track record of shipping products, publications, and patents.
• Proactive in addressing and reducing potential biases in model predictions to ensure inclusivity and fairness.
• Designing and implementing efficient data pipelines for large language model training and inference.
• Proficiency in PyTorch, TensorFlow, Transformers, Kubernetes, Docker, LangChain, vectorDB, cloud platforms like AWS, GCP, or Azure, monitoring tools like Grafana, CI/CD tools like Airflow and GitLab, and Big Data tools like Spark and Kafka.
• A thought leader with a good balance of business insight, domain knowledge, and technical expertise.
• Excellent presentation, written and verbal communication skills, along with strong interpersonal skills and a proven ability to build great designs.