659 Ml Engineer jobs in Singapore

• Optimize bottlenecks of the deep generative models to accelerate training and generation of generative models (e.g. transformer, diffusion, GANs).
• Implement distributed training of the models across multi-GPU clusters.
• Optimize distributed training of traditional ML models (e.g. XGBoost, LightGBM, CatBoost) on billion-row datasets.
• Design best practices for memory management to maximize resource utilization (compute and memory), enabling faster training at lower cost.

• Collaborate with data engineers to design ETL/ELT workflows handling terabyte to petabyte scale tabular and unstructured data.
• Implement scalable feature engineering pipelines using distributed computing frameworks (e.g. Spark, Dask, or Ray).
• Automate data validation (e.g. schema checks, anomaly detection) with rule-based and ML-driven frameworks.

• Build ML pipelines that transition research prototypes into reliable production-grade workflow.
• Package models into Docker containers and deploy using Kubernetes.
• Build automated model and data quality monitoring and validation systems to ensure data integrity throughout the pipeline lifecycle.
• Design robust error handling mechanisms, with automatic retries and data recovery in case of pipeline failures.
• Implement logging, monitoring and alerting systems.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Software Engineering, Data Science or a related quantitative discipline.
• 5+ years of hands-on experience optimizing and scaling machine learning models in production environments.
• Demonstrated track record of accelerating model training workflows (e.g., transformers, diffusion models, GANs) at multi-GPU scale.
• Experience in operating ETL/ELT pipelines handling terabytes to petabytes of tabular and unstructured data using distributed computing tools (e.g. Apache Spark, Dask, Ray).
• Demonstrated ability to translate research prototypes into reliable, production-grade ML pipelines with rigorous testing and validation.
• Experience in the ML orchestration (e.g. airflow, dagster).

• Experience hosting models to scalable cloud infrastructure (AWS / Azure / GCP).
• Experience containerisation of the data pipelines & AI models in docker with supporting orchestration tools (e.g. kubernetes).

• Flexible time-off arrangements
• Flexible work arrangements - work from office at One North or WFH on some days
• Equity eligibility: Competitive equity packages, with grant size evaluated based on the candidate's experience, skills, and impact.

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Job Summary

This role focuses on building and deploying cutting-edge GenAI and Language AI capabilities to enhance the media content discovery and consumption experience across a global, multilingual user base. The engineer will work on LLMs, agentic workflows, and production-level ML systems, collaborating across a multi-disciplinary team and deploying to millions of users across various platforms.

Key Responsibilities

• Design, develop, and maintain Language AI capabilities to support, understand, and grow global markets for a variety of digital services.
• Work on innovative projects to help users discover and engage with media content through advanced content intelligence.
• Contribute to next-generation Generative AI features across devices and platforms, supporting millions of users and billions of interactions.
• Enhance content discovery and consumption experience through machine learning solutions.
• Deploy features, code, data, and models into production environments.
• Collaborate closely with world-class engineers, researchers, and analysts to ensure the quality and performance of deployed models.
• Deliver solutions that support millions of devices globally, across operating systems such as mobile, desktop, smart TVs, wearables, and voice assistants.
• Ensure language coverage across a wide variety of regions and cultures.

Key Qualifications

• 2+ years of relevant industry experience
• Strong programming skills in Python
• Hands-on experience building Agentic workflows and GenAI applications
• Experience with Machine Learning techniques and related project work
• A genuine passion for building high-impact user experiences

We regret to inform that only shortlisted candidates will be notified / contacted.

EA Registration No.: IVORY LEE HONG, R22110493

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544

Job Summary

This role focuses on building and deploying cutting-edge GenAI and Language AI capabilities to enhance the media content discovery and consumption experience across a global, multilingual user base. The engineer will work on LLMs, agentic workflows, and production-level ML systems, collaborating across a multi-disciplinary team and deploying to millions of users across various platforms.

Key Responsibilities

• Design, develop, and maintain Language AI capabilities to support, understand, and grow global markets for a variety of digital services.
• Work on innovative projects to help users discover and engage with media content through advanced content intelligence.
• Contribute to next-generation Generative AI features across devices and platforms, supporting millions of users and billions of interactions.
• Enhance content discovery and consumption experience through machine learning solutions.
• Deploy features, code, data, and models into production environments.
• Collaborate closely with world-class engineers, researchers, and analysts to ensure the quality and performance of deployed models.
• Deliver solutions that support millions of devices globally, across operating systems such as mobile, desktop, smart TVs, wearables, and voice assistants.
• Ensure language coverage across a wide variety of regions and cultures.

Key Qualifications

• 2+ years of relevant industry experience
• Strong programming skills in Python
• Hands-on experience building Agentic workflows and GenAI applications
• Experience with Machine Learning techniques and related project work
• A genuine passion for building high-impact user experiences

We regret to inform that only shortlisted candidates will be notified / contacted.

EA Registration No.: FOO CHONG YUAN AARON, R25145979

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544

Job Title: AI/ML Engineer (Cybersecurity Applications)

Salary: $6,000 – $7,500/month

Contract Duration: 12 months (extendable)

Eligibility: Singaporeans only

• Drive the adoption of state-of-the-art AI/ML for cybersecurity
• End-to-end exposure: from model experimentation to production
• Work with open-source frameworks like Flowise and LangChain

GovTech's Cybersecurity Division is seeking an AI/ML Engineer to develop next-generation cyber defense solutions. This role is ideal for engineers who enjoy applying AI to solve real-world challenges, especially in the national security domain.

• Build agentic AI workflows and SOC automation with human-in-the-loop approval
• Design and manage vector search systems for real-time intelligence retrieval
• Deploy cloud AI services (AWS Sagemaker/Bedrock, Google Vertex AI)
• Develop CI/CD pipelines and containerised deployments (Docker/Kubernetes)
• Collaborate with cybersecurity experts to deliver impactful AI solutions

• Bachelor's Degree or higher in Computer Science, Data Science, or related field
• 2–3 years' hands-on experience in:
  
  Python, NLP, Computer Vision
  
  Vector databases and CI/CD practices
  
  LangChain and AI/LLM-powered applications
• Familiarity with data warehousing (Amazon Redshift, BigQuery) an advantage
• Strong problem-solving mindset and willingness to learn

Apply via MyCareersFuture. Only shortlisted applicants will be contacted. By submitting your resume or personal data, you consent to BGC Group Pte Ltd collecting, using, and disclosing your personal data to our clients and partners for the purpose of evaluating your suitability for job opportunities and related recruitment services. You acknowledge that you have read, understood, and agree to our Privacy Policy for Job Applicants, available at

Internal Ref: JJ – JO 26939A

BGC Group Pte Ltd (Outsourcing)

EA 05C3053

Design, develop, and maintain Language AI capabilities
Work on innovative projects to help users discover and engage with media content
Contribute to next-generation Generative AI features across devices and platforms
Job Summary
This role focuses on building and deploying cutting-edge GenAI and Language AI capabilities to enhance the media content discovery and consumption experience across a global, multilingual user base. The engineer will work on LLMs, agentic workflows, and production-level ML systems, collaborating across a multi-disciplinary team and deploying to millions of users across various platforms.
Key Responsibilities
Design, develop, and maintain Language AI capabilities to support, understand, and grow global markets for a variety of digital services.
Work on innovative projects to help users discover and engage with media content through advanced content intelligence.
Contribute to next-generation Generative AI features across devices and platforms, supporting millions of users and billions of interactions.
Enhance content discovery and consumption experience through machine learning solutions.
Deploy features, code, data, and models into production environments.
Collaborate closely with world-class engineers, researchers, and analysts to ensure the quality and performance of deployed models.
Deliver solutions that support millions of devices globally, across operating systems such as mobile, desktop, smart TVs, wearables, and voice assistants.
Ensure language coverage across a wide variety of regions and cultures.
Key Qualifications
2+ years of relevant industry experience
Strong programming skills in Python
Hands-on experience building Agentic workflows and GenAI applications
Experience with Machine Learning techniques and related project work
A genuine passion for building high-impact user experiences
We regret to inform that only shortlisted candidates will be notified / contacted.
EA Registration No.: FOO CHONG YUAN AARON, R25145979
Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544
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Job Responsibilities
Assist in the development and maintenance of the AI Lab’s global sandbox platform.
Ensure the platform is effectively used for experimenting with AI applications.
Contribute to the continuous improvement of the platform based on user feedback and technological advancements.
Collaborate with cross-functional teams to integrate AI solutions into the sandbox environment.
Provide technical guidance and support to teams using the sandbox for AI product development.
Conduct research and development (R&D) to stay up-to-date with the latest advancements in AI, machine learning, and Large Language Model frameworks.
Provide technical guidance and support in the AI domain to teams under incubation that develop AI products.
Analyse and interpret data to provide actionable insights and recommendations.
Skills Requirement
Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Proven experience (5+ years) in developing and deploying AI models and algorithms.
Strong technical background in data, AI, and modern cloud infrastructure.
Good programming skills in languages such as Python and R.
Experience with machine learning frameworks and libraries (e.g., LLM frameworks, Computer Vision, NLP frameworks, TensorFlow, PyTorch, scikit-learn).
Knowledge of data preprocessing, feature engineering, model evaluation, MLOps, and LLMOps techniques.
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We are seeking a Machine Learning Engineer to develop efficient, data-driven artificial intelligence systems that enhance our predictive automation capabilities. As a Machine Learning Engineer at Proximity, you will leverage your expertise in statistics and programming to effectively evaluate, analyze, and structure large volumes of data. You will be responsible for designing, testing, and optimizing machine-learning models and algorithms, working closely with our product, data science, and engineering teams to create and maintain models that align with our vision.Your key responsibilities will include:- Designing, developing, testing, and deploying machine learning models for various applications- Collaborating with data scientists, software engineers, and product managers to integrate data-driven features- Enhancing the performance of existing machine learning models- Implementing and managing scalable machine learning pipelines and infrastructure- Analyzing and preprocessing extensive datasets to extract valuable insights and features- Keeping abreast of the latest advancements in machine learning, deep learning, and related technologies- Conducting model training, validation, and performance assessments to ensure accuracy and reliability- Creating and updating documentation related to machine learning models, algorithms, and processes- Developing A/B testing frameworks and overseeing model deployment in production environmentsTo qualify for this role, you need:- A Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field- At least 3 years of experience in AI and Machine Learning- Minimum 1 year of experience in GenAI- Demonstrated experience as a Machine Learning Engineer, Data Scientist, or similar position- Proficiency in programming languages such as Python, R, or similar- Familiarity with machine learning libraries and frameworks like TensorFlow, PyTorch, scikit learn, etc., including NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers)- Expertise in data preprocessing, data wrangling, and data visualization- Hands-on experience with SQL databases, API integration, and cloud platforms (AWS, GCP, or Azure)- Strong understanding of machine learning algorithms, deep learning architectures, and statistical methods- Experience with version control systems (e.g., Git) and CI/CD pipelines- Ability to collaborate effectively in a team environment and communicate with cross-functional teamsPreferred qualifications include:- Knowledge of natural language processing (NLP) and its applications- Experience with MLOps tools and best practices for scalable model deployment and monitoring- Familiarity with data privacy and security regulations- Experience with real-time data processing and streaming technologies- Exposure to reinforcement learning, generative models, or unsupervised learning techniquesBenefits:As a part of Proximity, you will enjoy benefits such as:- Proximity Talks: Engage with other professionals in the industry and learn from experts- Continuous learning opportunities with a world-class team: Collaborate with top talents, challenge yourself, and acquire new skills regularlyAbout Us:Proximity serves as the trusted technology, design, and consulting partner for major Sports, Media, and Entertainment companies globally. Headquartered in San Francisco with offices in Palo Alto, Dubai, Mumbai, and Bangalore, Proximity has developed high-impact, scalable products used by 370 million daily users, with a cumulative net worth of $45.7 billion among client companies. Join our dynamic team of coders, designers, and experts to solve intricate problems and create cutting-edge technology at scale. As a Proxonaut, your contributions will significantly impact our success, allowing you to collaborate with seasoned leaders who have led multiple tech, product, and design teams. Explore more about us by watching our CEO, Hardik Jagda, sharing insights about Proximity, discovering our values, meeting our team members, exploring our website and blog, and getting a glimpse behind the scenes on Instagram! Follow @ProxWrks and @H.Jagda.,
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We are looking for a highly motivated and experiencedAI Engineerto join our team and lead the development of intelligent solutions usingAdvanced Python,Machine Learning (ML)andArtificial Intelligence (AI)techniques. The ideal candidate will have strong expertise inAPI integration,Natural Language Processing (NLP), and building scalable AI-driven applications.
Job Responsibilities:
Design, develop, and deployML/AI modelsfor various business use cases.
Implement and optimizeNLP techniquesfor tasks such as text classification, sentiment analysis, entity recognition, and conversational AI.
Build robust and scalablePython-based applicationsfor data processing and model deployment.
Integrate AI solutions with existing systems viaRESTful APIsand other integration methods.
Collaborate with data scientists, software engineers, and product teams to translate business requirements into technical solutions.
Conduct data exploration, preprocessing, and feature engineering on structured and unstructured datasets.
Monitor model performance and retrain models as needed to maintain accuracy and relevance.
Stay up-to-date with the latest developments in AI, ML, and NLP technologies.
Job Requirements and Qualifications:
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field .
5+ years of experience in AI/ML engineering roles.
Strong proficiency inPython, including libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and spaCy.
Hands-on experience withAPI development and integration(e.g., FastAPI, Flask, Django).
Solid understanding ofNLP techniquesand tools (e.g., transformers, BERT, GPT, NLTK).
Experience with cloud platforms (e.g., Azure, AWS, GCP) is a plus.
Familiarity with MLOps practices and tools for model deployment and monitoring.
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