810 Nlp Engineer jobs in Singapore

Responsibilities

· Lead the planning, execution, and delivery of data and cloud engineering projects for the next-generation Air Traffic Management (ATM) platform.

· Collaborate closely with engineering, data, and domain teams to define scope, milestones, and delivery plans aligned with business objectives.

· Drive Agile/Scrum practices, manage backlogs, conduct sprint ceremonies, and ensure transparency of progress and risks.

· Coordinate dependencies across batch and streaming pipelines, cloud infrastructure (AWS), and data platforms (e.g., Databricks).

o Track and manage risks, issues, and changes proactively, ensuring timely mitigation and stakeholder communication.

o Ensure project deliverables meet high standards of quality, security, and compliance, especially in regulated or safety-critical environments.

o Manage vendor engagement, technical documentation, and project reporting for internal and external stakeholders.

o Champion continuous improvement by identifying delivery bottlenecks and facilitating retrospectives and action plans.

Qualifications

• Proven experience managing technical projects involving cloud-native architectures and data engineering platforms.

• Strong understanding of AWS services and data platforms such as Databricks, with the ability to engage confidently with engineering teams.

• Experience leading Agile/Scrum teams, with proficiency in project tracking tools (e.g., Jira, Confluence).

• Ability to manage complex timelines, dependencies, and deliverables across multiple technical workstreams.

• Excellent communication, stakeholder management, and cross-functional coordination skills.

• Strong analytical and problem-solving capabilities, with a structured approach to risk and issue management.

• Bachelor's degree in computer science, Engineering, Information Systems, or a related field.

Preferred Qualifications

• Experience managing projects involving AWS, Databricks, Delta Lake, and modern data architectures (e.g., Lakehouse).

• Exposure to AI/Gen AI initiatives, intelligent agent workflows, or advanced analytics use cases.

• Familiarity with aviation data standards (e.g., ADS-B, ARINC 424, flight schedules) or a demonstrated ability to quickly learn domain-specific concepts.

• Relevant certifications such as PMP, PMI-ACP, AWS Certified Cloud Practitioner, or AWS Solutions Architect – Associate.

• Background in delivering high-performance, real-time, or large-scale data systems in regulated or safety-critical environments.

To Apply:

Please send your latest CV in word file to

Kindly indicate your availability, current and expected remuneration package.

We regret that only shortlisted candidates will be notified.

For more job opportunities, please visit our career page: Solutions Pte Ltd (License Number: 06C3126)

Registered EA Personnel (Reg. No.:R1551322)

Imagine what you could do here. At Apple, great ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish!Why Apple?At Apple, we believe our products begin with our people. By hiring a diverse team we drive creative thought. By giving that team everything they need we drive innovation. By hiring incredible engineers we drive precision. And through our collaborative process we build memorable experiences for our customers!We are looking for a highly skilled and experienced Machine Learning and Generative AI engineer who has a robust understanding of Large Language Models and Generative AI to help work on exciting technologies for future Apple products and bring it to live. In this role, you will join a team of machine learning engineers with different specialization to discover and build solutions to previously-unsolved challenges and push the state of the art for global audience.You will collaborate with cross-functional teams of business SMEs, engineers, data scientists, designers, and researchers. This role is exceptionally technical, and will require you to actively engage in all aspects of the work, from conceptualization and theoretical considerations to design, coding, and implementation.

In this role, you will focus on the following key areas:- You’ll be working in a team of machine learning engineers of different specialization to prototype and ship world class algorithms that pushes the state of the art.- Lead the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields.- Turn prototypes into automation pipelines and deploying them to production; deciding when to use out-of-the-box solutions vs. building custom solutions and utilizing both.- Ongoing data analysis to build new or fine-tune existing models such as GPT to optimize results.- Partner closely with software engineers to implement these models into high-performing systems and models in our production environment that can be applied to create amazing experience for our worldwide audience.- Actively engaging in all aspects of model development, from ideation and experimentation to deployment.- Communicate results of analyses to business partners and executives.- Maintain expertise in the latest advancements in AI technology. Partnering with your team members to prepare presentations, papers, and patents for your inventions.

• 5+ years building NLP/AI software professionally and successfully releasing to customers.
• 5+ years of industry experience building machine learning and deep learning based software applications.
• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning or related field; or
• M.S. in related field with 3+ years experience applying machine learning engineer to real business problems.

• Experience with state-of-the-art NLP algorithms and AI models, Multi-modal LLMs, Multi-modal contrastive learning, Foundation models, Diffusion based models and parameter efficient fine tuning of LLMs.
• Solid understanding of inference speed up techniques such as speculative decoding and optimization of LLMs for human preferences.
• A strong track record of shipping products and publications / patents.
• Strong understanding of Python, and related machine learning tools (e.g. TensorFlow, PyTorch, NLTK, spaCy, Keras).
• Excellent presentation, written and verbal communication, engagement and interpersonal skills along with validated skills in building great design.

Imagine what you could do here. At Apple, great ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish!Why Apple?At Apple, we believe our products begin with our people. By hiring a diverse team we drive creative thought. By giving that team everything they need we drive innovation. By hiring incredible engineers we drive precision. And through our collaborative process we build memorable experiences for our customers!We are looking for a highly skilled and experienced Machine Learning and Generative AI engineer who has a robust understanding of Large Language Models and Generative AI to help work on exciting technologies for future Apple products and bring it to live. In this role, you will join a team of machine learning engineers with different specialization to discover and build solutions to previously-unsolved challenges and push the state of the art for global audience.You will collaborate with cross-functional teams of business SMEs, engineers, data scientists, designers, and researchers. This role is exceptionally technical, and will require you to actively engage in all aspects of the work, from conceptualization and theoretical considerations to design, coding, and implementation.

Description

In this role, you will focus on the following key areas:- You’ll be working in a team of machine learning engineers of different specialization to prototype and ship world class algorithms that pushes the state of the art.- Lead the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields.- Turn prototypes into automation pipelines and deploying them to production; deciding when to use out-of-the-box solutions vs. building custom solutions and utilizing both.- Ongoing data analysis to build new or fine-tune existing models such as GPT to optimize results.- Partner closely with software engineers to implement these models into high-performing systems and models in our production environment that can be applied to create amazing experience for our worldwide audience.- Actively engaging in all aspects of model development, from ideation and experimentation to deployment.- Communicate results of analyses to business partners and executives.- Maintain expertise in the latest advancements in AI technology. Partnering with your team members to prepare presentations, papers, and patents for your inventions.

Minimum Qualifications

• 5+ years building NLP/AI software professionally and successfully releasing to customers.
• 5+ years of industry experience building machine learning and deep learning based software applications.
• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning or related field; or
• M.S. in related field with 3+ years experience applying machine learning engineer to real business problems.

Preferred Qualifications

• Experience with state-of-the-art NLP algorithms and AI models, Multi-modal LLMs, Multi-modal contrastive learning, Foundation models, Diffusion based models and parameter efficient fine tuning of LLMs.
• Solid understanding of inference speed up techniques such as speculative decoding and optimization of LLMs for human preferences.
• A strong track record of shipping products and publications / patents.
• Strong understanding of Python, and related machine learning tools (e.g. TensorFlow, PyTorch, NLTK, spaCy, Keras).
• Excellent presentation, written and verbal communication, engagement and interpersonal skills along with validated skills in building great design.

Imagine what you could do here. At Apple, great ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish!Why Apple?At Apple, we believe our products begin with our people. By hiring a diverse team we drive creative thought. By giving that team everything they need we drive innovation. By hiring incredible engineers we drive precision. And through our collaborative process we build memorable experiences for our customers!We are looking for a highly skilled and experienced Machine Learning and Generative AI engineer who has a robust understanding of Large Language Models and Generative AI to help work on exciting technologies for future Apple products and bring it to live. In this role, you will join a team of machine learning engineers with different specialization to discover and build solutions to previously-unsolved challenges and push the state of the art for global audience.You will collaborate with cross-functional teams of business SMEs, engineers, data scientists, designers, and researchers. This role is exceptionally technical, and will require you to actively engage in all aspects of the work, from conceptualization and theoretical considerations to design, coding, and implementation.
Description
In this role, you will focus on the following key areas:- You’ll be working in a team of machine learning engineers of different specialization to prototype and ship world class algorithms that pushes the state of the art.- Lead the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields.- Turn prototypes into automation pipelines and deploying them to production; deciding when to use out-of-the-box solutions vs. building custom solutions and utilizing both.- Ongoing data analysis to build new or fine-tune existing models such as GPT to optimize results.- Partner closely with software engineers to implement these models into high-performing systems and models in our production environment that can be applied to create amazing experience for our worldwide audience.- Actively engaging in all aspects of model development, from ideation and experimentation to deployment.- Communicate results of analyses to business partners and executives.- Maintain expertise in the latest advancements in AI technology. Partnering with your team members to prepare presentations, papers, and patents for your inventions.
Minimum Qualifications
5+ years building NLP/AI software professionally and successfully releasing to customers.
5+ years of industry experience building machine learning and deep learning based software applications.
Ph.D. in Computer Science, Artificial Intelligence, Machine Learning or related field; or
M.S. in related field with 3+ years experience applying machine learning engineer to real business problems.
Preferred Qualifications
Experience with state-of-the-art NLP algorithms and AI models, Multi-modal LLMs, Multi-modal contrastive learning, Foundation models, Diffusion based models and parameter efficient fine tuning of LLMs.
Solid understanding of inference speed up techniques such as speculative decoding and optimization of LLMs for human preferences.
A strong track record of shipping products and publications / patents.
Strong understanding of Python, and related machine learning tools (e.g. TensorFlow, PyTorch, NLTK, spaCy, Keras).
Excellent presentation, written and verbal communication, engagement and interpersonal skills along with validated skills in building great design.
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Thales (Euronext Paris: HO) is a global leader in advanced technologies specialising in three business domains: Defence & Security, Aeronautics & Space and Cybersecurity & Digital identity. It develops products and solutions that help make the world safer, greener and more inclusive. The Group invests close to €4 billion a year in Research & Development, particularly in key innovation areas such as AI, cybersecurity, quantum technologies, cloud technologies and 6G. Thales has close to 81,000 employees in 68 countries. In 2023, the Group generated sales of €18.4 billion.

Thales has been present in Singapore since 1973 originally supporting aerospace-related activities in the Asia-Pacific region. Since then, the company has expanded and is today involved in the primary businesses of Aerospace (including Air Traffic Management), Defence & Security and Digital Identity & Security. Thales employs over 2,000 employees across 3 locations in Singapore providing solutions that help customers make critical decisions. As a people-centred company, Thales was honoured to be ranked 50th out of 200 on Straits Times Singapore’s Best Employers 2021 list, a recognition of our investment in nurturing talent.

About Us

At Thales Research and Technology (TRT), we extend the influence of Thales within the scientific and technical communities, offering a platform for innovation and knowledge sharing, and attracting talented research engineers to further develop our expertise. Together with our academic partners in the universities, we deliver impactful innovations that prepare for future applications.

Role Description

We are seeking a talented and driven Engineer/Senior Engineer specializing in Data Science & AI, with a strong emphasis on computer vision and machine learning, to join our dynamic team. In this role, you will contribute to our pioneering projects in intelligent systems that transform operational data into actionable information that enable End Users to make trusted decisions.

To be successful in this role, you should possess curiosity to explore the State-of-the-Art, willingness to challenge the status quo, being open-minded to new possibilities and be a team player in a dynamic research environment. You should thrive on self-learning and value hands-on experience in upskilling. You should be proactive to propose and champion new ideas towards stakeholders and create new values from the application of Data Science & AI in Thales business domains.

Responsibilities:

· Develop and implement computer vision algorithms and machine learning models for a range of applications, including object detection, change detection, anomaly detection, multiclass classification, behaviour analysis, and video stitching and scaling.

· Contribute to cross-functional teams developing proof-of-concepts and conduct experiments in realistic environments to validate algorithms, optimize performance, and ensure the robustness of models in real-world applications.

· Able to generate good quality documentation and capture patentable inventions.

· Stay current with the latest advancements in AI, machine learning, and computer vision technologies to continually enhance our capabilities.

· Motivated to share knowledge via presentations in internal and external events.

· In the case of a Senior Engineer profile, act as the computer vision subject matter expert and provide technical guidance and mentorship in the team.

Requirements:

· Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field, with specialisation in Data Science and AI.

· Hands-on experience in computer vision and machine learning, with a diverse portfolio of projects.

· Proficiency in programming languages such as Python, C++, or C, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, OpenCV) and MLOps concepts (e.g. KubeFlow).

· Solid understanding of deep learning architectures and algorithms like CNN and vision transformer, particularly in the context of image and video analysis.

· Strong analytical skills and the ability to work with large datasets.

· Excellent communication skills, with the ability to present complex technical concepts to non-technical stakeholders.

· Experience in a collaborative, team-oriented environment.

Desired Skills:

· Familiarity with cloud computing platforms and big data technologies.

· Knowledge of embedded systems and real-time processing.

· Experience in specific domains such as aerospace, automotive, defence, or security is a plus.

Key Responsibilities

• Collaborate with stakeholders, senior data scientists and cross-functional teams to understand business objectives and requirements.
• Conduct comprehensive data analysis and apply advanced statistical techniques to identify patterns, trends, and extract insights from large and complex datasets.
• Create visually appealing and insightful data visualizations to communicate complex findings and insights to both technical and non-technical stakeholders.
• Develop and maintain scalable data pipelines and workflows to process and analyse large volumes of data.
• Develop, validate, and maintain predictive models and algorithms tailored to specific business use cases such as customer segmentation and propensity models.
• Contribute to the design and implementation of experiments to test hypotheses and validate model performance.
• Work closely with machine learning engineers to deploy models into production and monitor their performance, providing insights and recommendations for optimization.
• Document methodologies, procedures, and findings in a clear and concise manner to ensure knowledge sharing and maintain accurate records.
• Stay abreast of emerging trends and advancements in data science and machine learning.
• Support the implementation of AI Governance by adhering to ethical standards, documentation protocols, and responsible AI practices.

Experience

• 4-7 years of experience in data science or a related field.
• Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and algorithm development.
• Strong programming skills in Python, R, SQL, or other programming languages.
• Deep understanding of statistical concepts and techniques, with experience applying them to real-world problems.
• Ability to visualize data, identify trends, and provide sound insights/ suggestions to internal stakeholders.
• Experience in the financial and insurance sector will be advantageous.
• Experience with cloud technologies is ideal (AWS/GCP/Azure etc.)
• Eagerness to learn and adapt to new technologies and methodologies.
• Understanding of Generative AI methodologies, including Retrieval-Augmented Generation (RAG), re-ranker, vector databases, etc.

Education

• Bachelor’s degree or above in Statistics, Computer Science, Mathematics, Business Analytics, Economics, or Similar or Masters in Statistics or any quantitative analytics or equivalent professional qualification
• Candidates with non-technical majors and self-learned data science or computer science skills are welcome to apply