738 AI And Machine Learning Specialists jobs in Singapore

Are you passionate about AI and machine learning?

Join our DeepBrain team and help build innovative AI-powered solutions that create real-world impact. As an AI Engineer, you'll design, develop, and deploy cutting-edge machine learning models and applications to solve complex business problems.

You'll work with talented colleagues across the business to bring AI into products and services, optimize algorithms, and explore new possibilities in areas such as predictive analytics and Generative AI.

If you're excited to apply the latest AI advancements in a fast-paced and collaborative environment, we'd love to hear from you

• Build and deploy machine learning models to solve real-world business challenges.
• Train, fine-tune, and evaluate models for performance improvements.
• Work with software engineers and DevOps teams to integrate models into production (e.g., APIs, applications, real-time decision-making).
• Monitor and maintain models to ensure accuracy and reliability.
• Perform data analysis, generate insights, and share findings with stakeholders.
• Stay updated on the latest AI/ML research and tools to keep our solutions ahead of the curve.

• Hands-on experience building and deploying machine learning models .
• Strong skills in Python and frameworks such as TensorFlow, PyTorch, or Scikit-Learn .
• Solid understanding of machine learning algorithms, statistics, and data analysis .
• Experience with Large Language Models (LLMs) or Generative AI is a plus.
• Familiarity with cloud platforms (AWS, Azure, GCP) or distributed frameworks (e.g., Spark) is an advantage.
• Strong problem-solving, analytical, and communication skills.
• Passion for continuous learning and adapting to new technologies.

Why Join Us?

Be part of a team that's shaping the future of AI. You'll get to work on exciting projects, explore emerging technologies, and contribute to solutions that make a difference.

Your recruiter for this job:

WhatsApp Chally @ for a quicker response

Connect with me on LinkedIn:

Chally |

Talentsis Pte Ltd | EA No: 20C0312

Responsibilities:
Design, build, and deploy machine learning models to solve business challenges.
Collaborate with teams to integrate models into production systems.
Train, fine-tune, and optimize models for performance.
Deploy models with APIs and ensure seamless integration.
Monitor, refine, and improve model performance.
Conduct data analysis and present insights.
Stay updated with AI advancements and recommend improvements.
Requirements:
Bachelor’s/Master’s in Computer Science, Data Science, or related field.
2+ years of experience in machine learning model development.
Strong knowledge of ML algorithms and frameworks (TensorFlow, PyTorch, Scikit-Learn).
Experience with Large Language Models & Generative AI is a plus.
Technical Skills:
Proficiency in Python and ML frameworks.
Strong statistical and analytical skills.
Familiarity with cloud ML tools (AWS, Azure, GCP) and distributed computing (Spark) is a plus.
Strong problem-solving, communication, and teamwork skills.
Continuous learner with a passion for AI advancements.
We are an equal opportunities employer.
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Company

Seagate Technology

Designation

Research Intern, AI Machine Learning

Date Listed

12 Aug 2025

Job Type

Entry Level / Junior Executive

Intern/TS

Job Period

From Jan 2026, For At Least 6 Months

Profession

Sciences / Laboratory / R&D

Industry

Artificial Intelligence / Smart Automation

Location Name

26 Ayer Rajah Crescent, Singapore , Singapore

Address

26 Ayer Rajah Crescent, Singapore

Map

Allowance / Remuneration

$1,300 monthly

Company Profile

At Seagate, we know that data is always in motion, alive, connected—and we harness it in order to maximize human potential. Since 1979, we have been creating precision-engineered data storage technologies that deliver superior capacity, speed, safety, and performance. We are a diverse workforce of 30,000+ creative, hard-working, passionate people all over the world—Silicon Valley, the United Kingdom, Singapore, India, China, and beyond.

Job Description

About our group:

Seagate Research Group (SRG) conducts research to transform Seagate's considerable technical expertise, innovation, and manufacturing excellence to develop innovative technologies for the rapidly growing datasphere.

SRG's Software and Applied AI Research section conduct research in applying Machine Learning for Seagate advance project, products, and processes.

We use State-of-the-Art ML methods to develop applications and Proof-of-Concepts. Our projects include applying ML in the following areas - Video Surveillance, Predictive Maintenance for HDD, optimizing data storage solution, Sensor-fusion for Augmented Reality and more.

About the role - you will:

As a Research intern, you will have the opportunity to apply ML techniques to a variety of impactful projects within SRG's Software and Applied AI Research team. These include:

• Applying predictive analytics for Hard Disk Drive (HDD) applications.
• Optimizing data flow throughput for Storage solutions with ML.
• Developing AI solutions tailored at the edge
• Profiling and analyzing AI workloads
• Engaging in simulation and modeling using Physics-Informed Machine Learning models (Theory-Trained Models)
• AI Driven Material Discovery

About you:

We are looking for someone who is:

• A self-motivated and independent learner with a strong mathematical foundation in linear algebra, statistics, optimization, and calculus.
• Proficient in understanding Machine Learning and Deep Learning frameworks such as TensorFlow and PyTorch.
• Familiar with various ML approaches, including Supervised, Unsupervised, and Reinforcement Learning.
• Keen to stay updated on the latest ML developments and trends, such as Generative AI, Transformers, GPT, GANs, Autoencoders, and Diffusion AI, Physics-informed Neural Network.
• Possessing a proactive, can-do attitude, with a perpetual curiosity and willingness to learn
• Able a full time semester internship (Jan to May/Jul) .

Your experience includes:

• Currently pursuing a Bachelor's or Master degree or PHD in Computer Science, Engineering, Mathematics or a related field.
• Proficient in Python, with experience in TensorFlow, PyTorch, R-programming, and a lower-level programming language (C/C++ or Java).

• Knowledge or experience in one or more of the following areas:

• Applied reinforcement learning algorithms like Q-Learning or genetic algorithms in real-world applications.

• Machine Learning for vision or natural language processing (NLP)

Location:

The Shugart site (named after Seagate's founder, Al Shugart) is a research and design center. Easily accessible from the One-North MRT Station, many employees choose to take mass transportation to work. Being a purpose-built building, The Shugart has excellent employee recreational facilities. Take an active break at our badminton courts, table tennis tables, in-house gym, and recreation rooms. Our yoga and Zumba classes are very popular. We also offer classes and interest groups in photography, gardening, and foreign languages, and have various on-site celebrations, and community volunteer opportunities

Application Instructions

Please apply for this position through our Career Portal via the link below.

Kindly note that only shortlisted candidates will be notified.

Apply for this position

We are seeking a highly skilled and experienced professional to join our team as an Artificial Intelligence/Machine Learning Engineer.

Key Responsibilities:

• Design, develop, and deploy scalable machine learning models and systems that support business objectives.
• Collaborate with data scientists and data engineers to collect and preprocess data, and build and maintain data pipelines.
• Develop and maintain data infrastructures that support machine learning workflows, including data storage, feature engineering, and model training.
• Design and implement distributed systems that support large-scale machine learning.
• Develop and maintain machine learning workflows that are efficient, reproducible, and scalable.
• Implement monitoring and evaluation systems that track model performance and identify potential issues.

• Bachelor's or Master's degree in computer science, engineering, or a related field.
• Strong programming skills in one or more languages such as Python, Java, or C++.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with distributed systems such as Apache Spark, Hadoop, or Kafka.
• Familiarity with data storage and processing technologies such as SQL, NoSQL, and Apache Beam.
• Strong analytical and problem-solving skills, with the ability to work with complex and unstructured data.
• Strong communication skills and ability to work collaboratively with cross-functional teams.

• At least 10 years of experience in integrating data with AI technology.
• At least 5 years of experience in using AI tools with good exposure to specific techniques.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Job highlights

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

Our Search Team is responsible for building and owning TikTok's search engine which provides our users the best search experience. On the TikTok Search Team, you’ll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine

learning methods from related fields such as NLP, Computer Vision, Multimodal, and Recommender Systems. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Exploring Cutting-Edge NLP Technologies: From basic tasks like word segmentation and Named Entity Recognition (NER) to advanced business functions like text and multimodal pre-training, query analysis, and fundamental relevance modeling, we apply deep learning models throughout the pipeline where every detail presents a challenge.

- Cross-Modal Matching Technologies: Applying deep learning techniques that combine Computer Vision (CV) and Natural Language Processing (NLP) in search, we aim to achieve powerful semantic understanding and retrieval capabilities for multimodal video search.

- Large-Scale Streaming Machine Learning Technologies: Utilising large-scale machine learning to address recommendation challenges in search, making the search more personalized and intuitive in understanding user needs.

- Architecture for data at the scale of hundreds of billions: Conducting in-depth research and innovation in all aspects, from large-scale offline computing and performance and scheduling optimization of distributed systems to building high-availability, high-throughput, and low-latency online services.

- Recommendation Technologies: Leveraging ultra-large-scale machine learning to build industry-leading search recommendation systems and continuously explore and innovate in search recommendation technologies.

Qualifications

Minimum Qualifications:

- Final year Ph.D or recent Ph.D graduates in Computer Science, engineering or quantitative field.

- Proficient coding skills and strong algorithm & data structure using C++/Python/Java.

- Have a solid knowledge of machine learning and practical experience in applying it.

Preferred Qualifications:

- Effective communication and teamwork skills.

- Modeling experience in one or more of the following areas: Ads, Search engine, Recommender System, NLP/CV.

- Have a solid foundation in algorithms related to LLMs, including but not limited to comprehensive learning and practical experience in areas such as single-modal/multi-modal LLM application and deployment.

- Strong publications record in top conferences or journals（e.g., ICLR, NeurIPS, ICML, ACL, EMNLP, NAACL, CVPR, ICCV and ECCV）.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here:

If you have any questions, please reach out to us at

This role offers the opportunity to work on cutting-edge ML technologies and contribute to transformative business solutions in a dynamic and collaborative MNC environment.

Job Responsibilities:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• Min. Bachelor's Degree in Computer Science, Data Science, Machine Learning, or a related field.
• At least 4 years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.
• Excellent communication skills to articulate technical concepts to diverse stakeholders.

Your recruiter for this job:

WhatsApp Chally @ for a quicker response

Connect with me on LinkedIn:

Chally |

Talentsis Pte Ltd | EA No: 20C0312

This role offers the opportunity to work on cutting-edge ML technologies and contribute to transformative business solutions in a dynamic and collaborative MNC environment.

Job Responsibilities:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• Min. Bachelor's Degree in Computer Science, Data Science, Machine Learning, or a related field.
• At least 4 years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.
• Excellent communication skills to articulate technical concepts to diverse stakeholders.

Your recruiter for this job: WhatsApp Celine @ for a quicker response.

Connect with me on LinkedIn:

Celine Chan | R

Talentsis Pte Ltd | EA No: 20C0312

This role offers the opportunity to work on cutting-edge ML technologies and contribute to transformative business solutions in a dynamic and collaborative MNC environment.
Job Responsibilities:
Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
Work closely with software engineers and DevOps teams to deploy models in production environments.
Implement APIs and integrate models into existing systems to enable real-time decision-making.
Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
Continuously refine models and algorithms based on user feedback and performance metrics.
Perform exploratory data analysis to uncover trends and insights.
Use statistical methods and visualization techniques to communicate findings to stakeholders.
Stay updated on advancements in ML and artificial intelligence (AI).
Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.
Job Requirements:
Min. Bachelor's Degree in Computer Science, Data Science, Machine Learning, or a related field.
At least 4 years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
Familiarity with Large Language Models and Generative AI technologies is a plus.
Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Strong understanding of statistical analysis, probability theory, and hypothesis testing.
Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.
Excellent communication skills to articulate technical concepts to diverse stakeholders.
Your recruiter for this job:
WhatsApp Celine @
for a quicker response.
Connect with me on LinkedIn:
Celine Chan | R
Talentsis Pte Ltd | EA No: 20C0312
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