1,456 AI Professionals jobs in Singapore

Our mission is to create innovative, robust, and user-friendly digital identity solutions. We are looking for a passionate and skilled Deep Learning AI Scientist specializing in Liveness Detection and Biometrics to join our dynamic team. Your work will directly impact the security and reliability of VIDA's identity verification systems.

Responsibilities:

• Liveness Detection Development: Design, train, and deploy advanced deep learning models to ensure robust liveness detection, preventing spoofing attacks using photos, videos, masks, or other methods.

• Design, train and deploy biometric models to correctly identify users

• Own the full lifecycle of deploying models: from data labelling, working with engineers to design scalable APIs, to monitoring and A/B testing new model versions

• Stay updated with the latest research in biometrics, computer vision, and deep learning, incorporating new techniques to improve VIDA’s products

• Collaborate with business, product, operations and engineering teams to deliver impact for our customers

• Work independently or in a team to solve complex problem statements

Requirements:

• An advanced degree in a quantitative field, and 3+ years of hands-on experience in deep learning model development for biometrics or liveness detection or a similar field.

• Deep understanding of modern computer vision techniques, deep learning and machine learning

• Experience developing and deploying machine learning models in production

• Experience with adversarial training to enhance model robustness

• Proficient in Python, C++, Scala, or Java

• Familiarity with modern deep learning frameworks such as TensorFlow, PyTorch, MXNet

• Familiarity with cloud platforms like AWS, GCP, or Azure for model deployment.

• Experience in on-device inference for machine learning models is a plus

• Take pride in taking ownership and driving projects to have business impact

• Thrive in a fast moving collaborative environment

What are we trying to solve?

We have 7.5 billion people on Earth, of which over 1 billion cannot securely prove their identity right now.

Every year, 140 million babies are born, of which 40 million go unregistered.

Simply put, these people are deprived of social benefits, such as education and health, their civil rights to vote and travel; and are excluded from the economy because they cannot sign up for bank accounts, loans, welfare programs etc. We believe this is unacceptable, and needs to change.

At VIDA , We are creating a frictionless digital identity system. One that fulfills the needs and expectations of our times, and is available anywhere, for everyone.

Why are we solving this problem?

The United Nations (UN) and World Bank ID4D initiatives aim to provide everyone on the planet with a legal identity by 2030. This deadline is just 9 years away, we are expecting a digital identity to be a legal human right by then and we at VIDA want to be pioneers in leading this change.

Who are we?

We are a highly driven bunch of people to solve this problem for our own reasons. Whether it is to solve for misleading doctors, or because we didn’t get access to fair ration due to corruption - Our collective goal aligns.

Implement AI models for 3D data generation using deep learning techniques. Strong experience in 3D computer vision and 3D graphics required. Responsibilities include data preprocessing and feature engineering. Expert in GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).

LOCATION

EMPLOYMENT TYPE

Permanent

1. Developing and implementing deep learning models for 3D data, such as point clouds, voxel grids, and triangle meshes.
2. Training and fine-tuning deep learning models on large datasets of 3D data, such as 3D scans of real-world objects and environments.
3. Using deep learning to extract features and representations from 3D data, such as object segmentation, surface normal estimation, and 3D object recognition.
4. Researching and implementing new techniques for 3D deep learning, such as point cloud convolutional neural networks and volumetric convolutional neural networks.
5. Collaborating with other engineers and researchers to integrate 3D deep learning models into other systems, such as robotics and autonomous vehicles.
6. Building and deploying 3D deep learning models on various platforms, including cloud, edge, and mobile devices.
7. Optimizing the performance of 3D deep learning models, including reducing memory and computational requirements and improving inference speed.
8. Communicating the results of their research and development activities to stakeholders and customers, including technical and non-technical audiences.
9. Keeping up with current research and developments in the field of 3D deep learning and identifying new opportunities for applying 3D deep learning to real-world problems.
10. Utilizing NVIDIA's deep learning frameworks, such as CUDA, cuDNN, and TensorRT, to optimize the performance of 3D deep learning models.
11. Using NVIDIA's Jetson platform for deploying deep learning models on edge devices.
12. Using NVIDIA's GPU-accelerated cloud platforms, such as NVIDIA GPU Cloud (NGC), for training and deploying deep learning models in the cloud.
13. Leveraging NVIDIA's AI-specific hardware, such as the NVIDIA A100 Tensor Core GPU, for faster and more efficient training and inference of deep learning models.
14. Utilizing NVIDIA's AI development tools, such as DeepStream and Isaac, to develop and deploy AI-powered applications for robotics and autonomous systems.
15. Using NVIDIA's Clara platform for medical imaging and other 3D data analysis.
16. Utilizing NVIDIA's Omniverse platform for creating and training models in virtual environments.

1. Strong technical skills: A 3D Deep Learning Engineer should have a solid understanding of deep learning and computer vision, as well as experience with programming languages such as Python and C++.
2. Experience with 3D data: You should have experience working with 3D data, such as point clouds, voxel grids, and triangle meshes, and should be familiar with the techniques and algorithms used for processing 3D data.
3. Experience with deep learning frameworks: You should have experience working with deep learning frameworks, such as TensorFlow, PyTorch, and NVIDIA's CUDA, cuDNN, and TensorRT, and should be familiar with the techniques used to optimize the performance of deep learning models.
4. Strong problem-solving skills: You should have strong problem-solving skills and be able to develop creative solutions to complex technical challenges.
5. Attention to detail: You should be meticulous and pay attention to detail, as small errors or bugs in the code can cause significant problems.
6. Strong communication skills: You should be able to effectively communicate technical ideas and solutions to both technical and non-technical audiences.
7. Flexibility and Adaptability: You should be able to adapt and learn quickly as the field of AI is constantly evolving and new techniques and technologies are emerging.
8. Creativity: You should have a creative mindset and be able to come up with new and innovative solutions to problems.
9. Team Player: You should have good collaboration skills and be able to work well in a team environment.
10. Passion for technology: You should have a genuine passion for technology and a desire to learn and stay current with the latest developments in the field.

Job Title:

We are seeking a skilled CPU Architectural Engineer to join our team. As a core member, you will play a pivotal role in optimizing and developing deep learning frameworks for AMD GPUs.

Your Responsibilities:

• Optimize Deep Learning Frameworks: Enhance and optimize frameworks like TensorFlow and PyTorch for AMD GPUs in open-source repositories.
• Develop GPU Kernels: Create and optimize GPU kernels to maximize performance for specific AI operations.
• Develop & Optimize Models: Design and optimize deep learning models specifically for AMD GPU performance.
• Collaborate with GPU Library Teams: Work closely with internal teams to analyze and improve training and inference performance on AMD GPUs.
• Collaborate with Open-Source Maintainers: Engage with framework maintainers to ensure code changes are aligned with requirements and integrated upstream.
• Work in Distributed Computing Environments: Optimize deep learning performance on both scale-up (multi-GPU) and scale-out (multi-node) systems.
• Utilize Cutting-Edge Compiler Tech: Leverage advanced compiler technologies to improve deep learning performance.
• Optimize Deep Learning Pipeline: Enhance the full pipeline, including integrating graph compilers.
• Software Engineering Best Practices: Apply sound engineering principles to ensure robust, maintainable solutions.

Required Skills and Qualifications:

• GPU Kernel Development & Optimization: Experienced in designing and optimizing GPU kernels for deep learning on AMD GPUs using HIP, CUDA, and assembly (ASM). Strong knowledge of AMD architectures (GCN, RDNA) and low-level programming to maximize performance for AI operations, leveraging tools like Compute Kernel (CK), CUTLASS, and Triton for multi-GPU and multi-platform performance.
• Deep Learning Integration: Experienced in integrating optimized GPU performance into machine learning frameworks (e.g., TensorFlow, PyTorch) to accelerate model training and inference, with a focus on scaling and throughput.
• Software Engineering: Skilled in Python and C++, with experience in debugging, performance tuning, and test design to ensure high-quality, maintainable software solutions.
• High-Performance Computing: Solid experienced in running large-scale workloads on heterogeneous compute clusters, optimizing for efficiency and scalability.
• Compiler Optimization: Foundational understanding of compiler theory and tools like LLVM and ROCm for kernel and system performance optimization.

Academic Credentials:

• Bachelor's and/or Master's Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• 3+ years of professional experience in technical software development, with a focus on GPU optimization, performance engineering, and framework development.

• Analyse diverse, complex healthcare datasets to identify patterns and extract meaningful insights.
• Synthesise findings into actionable recommendations and define opportunities for AI-driven solutions.
• Design, develop, implement, and validate a range of machine learning and AI models, including predictive modelling, classification, clustering, natural language processing, and computer vision techniques.
• Conduct rigorous validation and testing of AI models to ensure they meet clinical efficacy and regulatory standards.
• Effectively communicate data-driven insights, analytical results, and model capabilities to diverse stakeholders through clear presentations, visualisations, and documentation.

Generative AI Application Development (RAG & Agentic Systems)

• Design, develop, and deploy Generative AI applications, utilising architectures such as Retrieval Augmented Generation (RAG), Agentic RAG, and Graph RAG.
• Build and implement agentic AI workflows capable of complex task execution, reasoning, and dynamic interaction with diverse data sources, APIs, and tools.
• Leverage and customize a range of cloud-based Generative AI components and search services to create robust and scalable AI-powered capabilities for the healthcare domain.

Candidates should possess:

• A Master's or Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a closely related technical field.
• Minimum 3-5 years of experience deploying production-grade Generative AI applications, with a portfolio demonstrating RAG systems, agentic AI solutions, or cloud LLM integrations.
• Expert Python proficiency required. Extensive experience with GenAI application frameworks is highly desirable; familiarity with deep learning frameworks is beneficial.
• Solid experience building and deploying robust, scalable backend APIs; asynchronous programming experience is a strong advantage.
• Proficiency with SQL/NoSQL databases expected; experience with vector databases and embedding models is highly preferred and a significant advantage.

This role offers:

• The opportunity to work on cutting-edge Generative AI projects.
• Collaboration with experienced professionals in the field.
• Professional growth and development opportunities.

We are a forward-thinking organisation dedicated to harnessing the power of AI for social good.

What the role is:

The Government Technology Agency (GovTech) is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity.

At GovTech, we offer you a purposeful career to make lives better. We empower our people to master their craft through continuous and robust learning and development opportunities all year round. Our GovTechies embody our Agile, Bold and Collaborative values to deliver impactful solutions.

GovTech aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do.

Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today!

Learn more about GovTech at tech.gov.sg.

The Responsible AI team, part of GovTech's Artificial Intelligence Tech Practice, develops technical capabilities in defining, measuring, and mitigating various Responsible AI issues. We aim to be at the forefront of the AI safety and responsible AI space through learning, experimentation, and applied research.

Some of our past open-source work include RabakBench, KnowOrNot, MinorBench, and LionGuard, and you can find more details in our Responsible AI playbook ( ), huggingface page ( ) or the team blog ( ).

What we do
Data scientists in the Responsible AI team will focus on experimenting with the latest developments in the Responsible AI space to raise the level of AI safety, robustness and fairness in government AI systems. This includes designing and conducting AI testing and evaluations for LLMs and agentic AI, finetuning models for alignment and red-teaming, and developing accurate and efficient guardrails.

To do this well, we collaborate with many technical partners, including the private sector, academic institutions, and international players. We also aim to share our expertise with the wider community, so you will have the chance to contribute to open-source research, present our work and show how we are leading the way in Responsible AI. Additionally, we work closely with policymakers to provide technical guidance on AI governance and policies.

If you’re curious about how Responsible AI, practical engineering, and real-world policy come together and would like to contribute your ideas and skills in this space, you’ll find plenty of opportunities to learn, build, and make an impact with us.

• Demonstrated experience with end-to-end data science projects, from scoping, development, deployment, and monitoring

• Strong technical understanding of LLMs, especially how they work, how to do prompt engineering effectively, and how to build apps with them

• Good understanding of key AI safety, robustness and fairness concepts, especially in how to operationalise and apply them to AI systems

• Competent in Python programming, with some familiarity of cloud deployments for ML models and LLMs

• Strong interest in AI safety or responsible AI, especially given the need to read up independently on these areas and continuously explore and experiment

• Self-motivated, thinks proactively and creatively about how to solve challenges

• Desire to build tech for the public good

We also have a strong preference for any applicant with informal or formal experience with any of the work below:

• Conducting LLM or agentic AI safety testing, including jailbreaking or prompt injections

• Developing guardrails for LLMs or using equivalent tools (eg NeMo, LLM-Guard)

• Developing fairness assessments for AI systems

GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe that diversity is the foundation to innovation.

Our employee benefits are based on a total rewards approach, offering a holistic and market- competitive suite of perks. These include leave benefits to meet your work-life needs and employee wellness programmes.

We champion flexible work arrangements (subject to your job role) and trust that you will manage your own time to deliver your best, wherever you are, and whatever works best for you.

Learn more about life inside GovTech at go.gov.sg/GovTechCareers.

Stay connected with us on social media at go.gov.sg/ConnectWithGovTech.

About Government Technology Agency

The Government Technology Agency (GovTech) is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity.At GovTech, we offer you a purposeful career to make lives better. We empower our people to master their craft through continuous and robust learning and development opportunities all year round. Our GovTechies embody our Agile, Bold and Collaborative values to deliver impactful solutions.GovTech aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do.Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today!Learn more about GovTech at tech.gov.sg.

Transform Business Outcomes through Data Science and AI Expertise

We are seeking a skilled data scientist or AI engineer to drive our organization's strategic initiatives in AI, data science, and business analytics. The ideal candidate will possess expertise in machine learning, deep learning, and software development, with experience working on complex projects involving big data processing and cloud environments.

Key Responsibilities:

1. Collaborate with cross-functional teams to design and implement AI and ML solutions that deliver impactful business outcomes.
2. Develop and deploy scalable data pipelines and microservices using modern programming languages such as Python, Scala, and Java.
3. Work closely with business stakeholders to identify areas of improvement and propose innovative solutions leveraging data science and AI techniques.
4. Stay up-to-date with the latest advancements in AI and ML, including generative AI, NLP, computer vision, and recommender systems.
5. Contribute to the development of internal tools and frameworks for data analysis, visualization, and model deployment.

Required Skills and Qualifications:

• Advanced degree in Computer Science, Mathematics, Statistics, Physics, or related field is required; PhD and MS degrees in relevant disciplines are preferred.
• Expertise in machine learning, deep learning, and software development, with intermediate programming skills in Python, Scala, and Java.
• Familiarity with workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• Experience with Agile/Scrum/Kanban methodologies and cloud environments like AWS, Azure, GCP.
• Excellent interpersonal and communication skills for working with both technical staff and non-technical business users.

Benefits and Growth Opportunities:

• Opportunity to work on cutting-edge projects and collaborate with top talent in the industry.
• Professional growth and development opportunities, including training and mentorship programs.
• A dynamic and inclusive work environment that fosters creativity and innovation.

Others:

• TensorFlow
  Machine Learning
  Scala
  Azure
  Physics
  Mathematics
  Computer Vision
  PyTorch
  Python
  Business Analytics
  Statistics
  Prediction
  Data Science
  Java
  Decision Making
  Data Analytics

Job Title: Senior AI/Data Science/Data Engineering Specialist (Consulting to Full-Time)Location: Remote ( 6:30 PM IST to 3:30 AM IST)Job Type: Opportunity: Transition to Full-Time Based on Performance Start Date: Immediate Joiners PreferredAbout the Role:We are seeking a Senior AI/Data Science/Data Engineering Specialist for a high-impact role supporting advanced data initiatives. This role requires working during US business hours (India time: 6:30 PM IST to 3:30 AM IST).Key Responsibilities: Design, develop, and deploy AI/ML models and data pipelines in production-grade environments. Perform advanced data analysis, feature engineering, and exploratory data modeling. Build, optimize, and maintain ETL/ELT processes using large-scale datasets. Collaborate with cross-functional teams to identify data-driven solutions to business problems. Implement and maintain scalable machine learning pipelines. Ensure high code quality, maintainability, and documentation.Must-Have Skills: Strong expertise in Python for data science, scripting, and automation 5+ years of hands-on experience in AI/ML model development, data engineering, or data science Experience with Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar libraries Proficient in SQL, data modeling, and cloud data tools (AWS, GCP, or Azure) Experience with Apache Airflow, Spark, or other big data tools is a plus Strong understanding of data warehousing, pipelines, and MLOps conceptsPreferred Qualifications: Prior experience in consulting engagements with US clients Familiarity with CI/CD pipelines and version control (Git) Excellent communication and problem-solving skills Ability to work independently in a remote, cross-time-zone environmentJob Types: Full-time, Part-time, Contractual / TemporarySchedule: Night shift US shiftExperience: Data science: 5 years (Required) AI: 1 year (Required)Shift availability: Night Shift (Required)Work Location: Remote,

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About Us

Founded in 2014, Circles is a global technology company reimagining the telco industry with its innovative SaaS platform, empowering telco operators worldwide to effortlessly launch innovative digital brands or refresh existing ones, accelerating their transformation into techcos.

Today, Circles partners with leading telco operators across 14 countries and 6 continents, including KDDI Corporation, Etisalat Group (e&), AT&T, and Telkomsel, creating blueprints for future telco and digital experiences enjoyed by millions of consumers globally.

Besides Its SaaS Business, Circles Operates Two Distinct Businesses:

• Life: A wholly-owned digital lifestyle telco brand based in Singapore, Circles.Life is powered by Circles’ SaaS platform and pioneering go-to-market strategies. It is the digital market leader in Singapore and has won numerous awards for marketing, customer service, and innovative product offerings beyond connectivity.
• Jetpac: Specializing in travel tech solutions, Jetpac provides seamless eSIM roaming for over 200 destinations and innovative travel lifestyle products, redefining connectivity for digital travelers. Jetpac was awarded Travel eSIM of the Year.

Circles is backed by renowned global investors, including Peak XV Partners (formerly Sequoia), Warburg Pincus, Founders Fund, and EDBI (the investment arm of the Singapore Economic Development Board), with a track record of backing industry challengers.

About The Role

As AI Business Leader, you will spearhead the reimagination of how Circles operates and grows using AI. Your mission is to design and execute AI-first strategies that optimize operations, unlock new revenue streams, and transform how we scale the business. You will own AI-led business model innovation, automation of revenue-driving functions, and high-velocity execution. This is an extraordinary opportunity to be a core part of the team driving Circles toward industry leadership and exponential growth.

Key Responsibilities

1. AI-Driven Business Model Transformation: Lead the reimagination of Circles' business models using AI — identifying where AI can create new products, revenue streams, optimize existing ones, and fundamentally reshape how we deliver value to customers.
2. End-to-End Ownership of AI-Led Business Initiatives: Take full ownership of AI-driven initiatives or products from inception to commercial success. This includes shaping the strategic vision, securing resources, driving execution across cross-functional teams, and being fully accountable for market impact and business outcomes.
3. Revenue Growth Through AI: Design and execute strategies to apply AI across go-to-market functions — marketing, sales, pricing, partnerships — to drive customer acquisition, retention, and monetization at scale to achieve 10x outcomes.
4. Operational Efficiency & Commercial Automation: Identify and prioritize commercial workflows for AI-led automation, improving scalability without proportional resource growth.
5. AI-Led Market Expansion: Explore new market opportunities and business verticals unlocked by AI capabilities and lead go-to-market strategy for these initiatives.
6. Cross-Functional Business Leadership: Act as the bridge between AI capabilities and commercial priorities — collaborating with Product, Tech, Marketing, and Customer Success teams to ensure AI investments translate to tangible business impact.
7. Experimentation & Rapid Commercial Prototyping: Drive fast-cycle testing of AI-powered growth strategies, pricing models, and market plays. Build and validate business cases for scaling successful experiments.
8. Customer Experience & Personalization: Leverage AI to deliver hyper-personalized experiences at scale across the customer lifecycle — acquisition, onboarding, upsell, and retention.
9. Strategic Business Planning & Reporting: Develop frameworks to measure the financial impact of AI initiatives. Regularly report progress, risks, and outcomes to the leadership team.

Qualifications & Experience

1. Commercial Leadership in AI-Driven Environments: Proven track record leading commercial strategy, growth, or transformation initiatives powered by AI or advanced analytics.
2. Experience Driving Revenue with AI/Automation: Hands-on experience applying AI to improve revenue-generating functions.
3. Strategic Business Acumen: Strong ability to connect AI opportunities with business outcomes.
4. Operational Transformation Experience: Experience redesigning business processes for scale.
5. High-Velocity, Impact-Driven Execution: Proven ability to operate in fast-moving, resource-constrained environments.
6. AI Fluency for Business Leaders: Deep understanding of the commercial applications of AI.
7. Exceptional Communication & Influence: Strong storytelling skills to align cross-functional stakeholders around AI initiatives.
8. Entrepreneurial, Growth-Oriented Mindset: You thrive in environments where you can chart the path forward, own the outcome, and push boundaries to unlock new growth.

What We Value At Circles

1. Speed & Velocity: We thrive on execution. You’re able to make rapid decisions, iterate quickly, and maintain focus on what drives growth with minimal resources.
2. AI-First Mindset: You’re obsessed with how AI can transform every part of the business.
3. Ownership: At Circles, we take complete ownership of our work.
4. Ambition & Innovation: We are building a category-defining company.

Circles.Life is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, disability or age.

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Position Overview:

We are seeking a Research and Development Engineer focused on Generative AI Image and Video Algorithm Development . The ideal candidate should have experience in developing and optimizing generative AI algorithms, including but not limited to Stable Diffusion （image or video）, GANs, ControlNet, and LoRA . In particular, expertise is required in portrait generation, 3D depth-aware scenes, and image inpainting , designing efficient generative AI models to address challenges related to image realism, consistency, and harmony , thereby improving overall image quality and optimizing the visual experience.

Responsibilities:

• Research and develop advanced generative AI algorithms for image quality enhancement, focusing on clarity, color consistency, and noise reduction;
• Research and develop advanced generative AI image quality algorithms to enhance image clarity, realism, consistency, and visual harmony.
• Optimize image generation and rendering quality in portrait and depth-aware scenes, aligning with product application workflows.
• Improve image quality and novel view synthesis in complex depth scenarios, including small objects, motion scenes, and stereo vision.
• Participate in the full algorithm development lifecycle, from prototyping to product deployment, collaborating closely with software and hardware engineering teams to ensure efficient algorithm integration.

Qualification/ Requirements:

• Master’s or Ph.D. degree in Computer Vision, Image Processing, Large Models, or related fields .
• Proven experience in research and development of generative AI image generation algorithms , with proficiency in Stable Diffusion, GANs, ControlNet, LoRA , and model optimization.
• Familiarity with novel view synthesis, depth image generation, and image inpainting models, along with efficient training and data preparation pipelines .
• Proficiency in Python , with experience in PyTorch or other deep learning frameworks.
• Strong capability in developing and optimizing generative AI algorithms to enhance image quality in terms of clarity, realism, consistency, and harmony.
• Prior experience in image generation system development and optimization is a plus, including but not limited to text-to-image generation, conditional generation, image editing, style transfer, image inpainting, super-resolution, and image enhancement.
• Excellent teamwork, communication, and problem-solving skills.

Required Skills:

• Programming Languages: Python
• Language Skills: Proficient in English with strong reading and communication abilities

• Seniority level Associate

• Employment type Full-time

• Job function Research
• Industries Research Services

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