107 AI Research Scientist jobs in Malaysia
AI Research Scientist (Medical Imaging) Digital Health Unit
Posted 1 day ago
Job Viewed
Job Description
We are seeking a highly motivated and creative AI Research Scientist to lead the development and improvement of AI models focused on oral lesion detection as part of the MeMoSA (Mobile Mouth Screening Anywhere) project. This role is pivotal in advancing our institution’s work in medical AI and setting the foundation for building a dedicated in-house AI research team in the long term. The candidate is expected to be able to work independently but will receive support from our established collaborators from Malaysia and the UK.
SCOPE / PURPOSE OF JOB
Short-Term Objectives (Year 1–2):
- Improve and optimize existing oral lesion detection AI models using the latest deep learning and computer vision techniques
- Develop novel, bias-aware , transparent , and explainable AI approaches to improve clinical trust and applicability.
- Collaborate with dental and medical experts to ensure clinical relevance and data validity.
- Conduct experiments, analyze model performance, and produce high-quality technical documentation and research papers.
- Manage data pre-processing pipelines, annotation quality checks, and model evaluation metrics.
Long-Term Objectives:
- Support the recruitment and mentoring of junior researchers or AI engineers as we build an internal AI team.
- Propose and lead new AI research projects in healthcare beyond oral lesion detection (e.g., predictive analytics, other imaging modalities, NLP for healthcare records).
- Contribute to the design of a scalable AI research infrastructure within the institution.
Qualifications
PhD or Master’s degree in Computer Science , Artificial Intelligence , Machine Learning , Biomedical Engineering , or related fields.
Experience:
- Minimum 2–3 years of hands-on experience in deep learning, preferably in medical imaging (experience with oral or dental images is a plus).
- Strong understanding of model fairness , bias mitigation , explainability (XAI) , and ethical AI .
- Proficiency with deep learning frameworks such as PyTorch or TensorFlow .
- Familiarity with tools and libraries for interpretability (e.g., SHAP, LIME, Grad-CAM).
- Track record of publications in reputable AI or medical imaging conferences/journals is highly desirable.
- Experience in leading small research or development projects is a plus.
Preferred Qualities
- Creative and independent thinker who can bring new ideas to the table.
- Passion for responsible AI development and real-world healthcare applications.
- Strong communication skills and the ability to work cross-functionally with clinicians, researchers, and software teams.
Why Join Us?
- Be at the forefront of AI innovation in healthcare with real clinical impact.
- Opportunity to shape the future of an in-house AI research unit.
- Work closely with a diverse team of clinicians, researchers, and institutional leaders.
- Access to rich clinical datasets and institutional support for high-impact research.
We are an independent and non-profit cancer research organisation based in Malaysia. Funded by donations and research grants, we conduct research in niche cancers often found in our Asian population.
Cancer — the big ‘C’ — continues to be a stigma, only spoken about in hushed whispers; how it’s bad karma, how much it costs, and that nothing could be done.
Confronting this stigma head on, CRM has been reversing this language of cancer, transforming the big ‘C’ to a little ‘c’, and we plan to develop tools backed by good research to ensure that we can truly fight cancer on all fronts.
We believe that we will reverse the grip of cancer in our lives. We want researchers to win the war against cancer by turning it around with new ways of prevention and cure. We want to empower the public through impactful outreach programmes, with the hopes that Malaysians will respond differently to cancer by coming forward for screenings and going through with treatments.
Our driving force is held together by these goals:
- Improving the survival rates of Asian cancer patients, focusing on neglected areas of research.
- Empowering Asians to have the proper screening and treatment.
- Improving survival rates by being more accessible, focusing on providing existing cures to patients rather than sit on inaction and potentially losing lives.
- Making affordable and timely treatments by repurposing drugs, acknowledging the reality that developing new cures are costly and risky.
- Putting Malaysia in the global spotlight for cancer research by collaborating with top scientists around the world,and working to nurture the next generation of Malaysian cancer researchers.
AI Research Scientist (Medical Imaging) Digital Health Unit
Posted today
Job Viewed
Job Description
We are seeking a highly motivated and creative
AI Research Scientist
to lead the development and improvement of AI models focused on
oral lesion detection
as part of the MeMoSA (Mobile Mouth Screening Anywhere) project. This role is pivotal in advancing our institution’s work in medical AI and setting the foundation for building a dedicated in-house AI research team in the long term. The candidate is expected to be able to work independently but will receive support from our established collaborators from Malaysia and the UK. SCOPE / PURPOSE OF JOB Short-Term Objectives (Year 1–2): Improve and optimize existing oral lesion detection AI models using the latest deep learning and computer vision techniques Develop novel,
bias-aware ,
transparent , and
explainable
AI approaches to improve clinical trust and applicability. Collaborate with dental and medical experts to ensure clinical relevance and data validity. Conduct experiments, analyze model performance, and produce high-quality technical documentation and research papers. Manage data pre-processing pipelines, annotation quality checks, and model evaluation metrics. Long-Term Objectives: Support the recruitment and mentoring of junior researchers or AI engineers as we build an internal AI team. Propose and lead new AI research projects in healthcare beyond oral lesion detection (e.g., predictive analytics, other imaging modalities, NLP for healthcare records). Contribute to the design of a scalable AI research infrastructure within the institution. Qualifications PhD or Master’s degree in
Computer Science ,
Artificial Intelligence ,
Machine Learning ,
Biomedical Engineering , or related fields. Experience: Minimum
2–3 years of hands-on experience
in deep learning, preferably in
medical imaging
(experience with oral or dental images is a plus). Strong understanding of
model fairness ,
bias mitigation ,
explainability (XAI) , and
ethical AI . Proficiency with deep learning frameworks such as
PyTorch
or
TensorFlow . Familiarity with tools and libraries for interpretability (e.g., SHAP, LIME, Grad-CAM). Track record of publications in reputable AI or medical imaging conferences/journals is highly desirable. Experience in leading small research or development projects is a plus. Preferred Qualities Creative and independent thinker who can bring new ideas to the table. Passion for responsible AI development and real-world healthcare applications. Strong communication skills and the ability to work cross-functionally with clinicians, researchers, and software teams. Why Join Us? Be at the forefront of AI innovation in healthcare with real clinical impact. Opportunity to shape the future of an in-house AI research unit. Work closely with a diverse team of clinicians, researchers, and institutional leaders. Access to rich clinical datasets and institutional support for high-impact research. We are an independent and non-profit cancer research organisation based in Malaysia. Funded by donations and research grants, we conduct research in niche cancers often found in our Asian population. Cancer — the big ‘C’ — continues to be a stigma, only spoken about in hushed whispers; how it’s bad karma, how much it costs, and that nothing could be done. Confronting this stigma head on, CRM has been reversing this language of cancer, transforming the big ‘C’ to a little ‘c’, and we plan to develop tools backed by good research to ensure that we can truly fight cancer on all fronts. We believe that we will reverse the grip of cancer in our lives. We want researchers to win the war against cancer by turning it around with new ways of prevention and cure. We want to empower the public through impactful outreach programmes, with the hopes that Malaysians will respond differently to cancer by coming forward for screenings and going through with treatments. Our driving force is held together by these goals: Improving the survival rates of Asian cancer patients, focusing on neglected areas of research. Empowering Asians to have the proper screening and treatment. Improving survival rates by being more accessible, focusing on providing existing cures to patients rather than sit on inaction and potentially losing lives. Making affordable and timely treatments by repurposing drugs, acknowledging the reality that developing new cures are costly and risky. Putting Malaysia in the global spotlight for cancer research by collaborating with top scientists around the world,and working to nurture the next generation of Malaysian cancer researchers.
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Lead Artificial Intelligence Engineer
Posted today
Job Viewed
Job Description
Tap Growth ai Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Join or sign in to find your next jobJoin to apply for the Lead Artificial Intelligence Engineer role at Tap Growth ai
Tap Growth ai Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
2 days ago Be among the first 25 applicants
Join to apply for the Lead Artificial Intelligence Engineer role at Tap Growth ai
We're Hiring: Lead Artificial Intelligence Engineer!
We are seeking an innovative and experienced Lead AI Engineer to spearhead our artificial intelligence initiatives and drive cutting-edge AI solutions. The ideal candidate will have deep expertise in machine learning, neural networks, and AI frameworks to lead technical teams, architect scalable AI systems, and deliver transformative AI products.
Location: Kuala Lumpur, Malaysia
Work Mode: Work From Office
Role: Lead Artificial Intelligence Engineer
What You'll Do
Lead AI strategy development and implementation
Design and architect advanced machine learning models
Mentor and guide junior AI engineers
Optimize AI algorithms for performance and scalability
Research emerging AI technologies and methodologies
Drive AI product development from concept to deployment
What We're Looking For
Advanced degree in AI, Machine Learning, or Computer Science
5+ years of hands-on AI/ML development experience
Expertise in Python, TensorFlow, PyTorch, and cloud platforms
Strong leadership and team management skills
Experience with deep learning and neural network architectures
Proven track record of delivering production AI systems
Ready to shape the future of AI? Apply now and let's innovate together!
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Other
- Industries IT Services and IT Consulting
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#J-18808-LjbffrArtificial Intelligence (AI) Engineer
Posted 3 days ago
Job Viewed
Job Description
*For Singapore Applicants Only : PC Partner Technology Pte Limited will be prioritising applicants who have a current right to work in Singapore, and do not require PC Partner Technology Pte Limited's sponsorship of a visa.
Job Summary:
We are seeking an AI Engineer to drive the design and deployment of advanced AI solutions. The role involves selecting and implementing optimal AI models, as well as building data engineering pipelines to support machine learning model training, evaluation and deployment. You will collaborate closely with cross-functional teams to innovate, execute and deliver AI technologies, ensuring project success through strong technical expertise, effective teamwork and clear communication.
Key Responsibilities:
- Collaborate with cross-functional teams to define technical specifications for AI-driven software solutions.
- Build and maintain robust, scalable data pipelines to support machine learning and AI model training .
- Design and manage data architectures that enable efficient and reliable AI workflows.
- Prepare, clean, and integrate large datasets; design and implement vector databases to support training and inference of machine learning models.
- Design and develop AI models and APIs, integrating them seamlessly into both application software and embedded hardware systems .
- Review codes developed by team members, driving continuous improvement of AI models through algorithm refinement, code optimisation, and stakeholder feedback.
- Develop comprehensive test cases; conduct rigorous testing, debugging and bug fixing to ensure high quality, performance and system reliability.
- Train, evaluate and fine-tune machine learning models to achieve optimal efficiency and low latency.
- Implement MLOps best practices to manage the end-to-end software and machine learning lifecycle, including version control, CI/CD pipelines, and documentation.
- Collaborate with project leaders to plan, execute, monitor, and deliver multiple projects using Agile methodologies .
- Work closely with project teams to deploy machine learning models into production environments and support post-deployment operations.
- Analyse data to extract meaningful insights and present results to stakeholders to support product and business decisions.
- Conduct research and collaborate with external stakeholders to stay up to date with the latest AI technologies and industry standards, continuously enhancing development and evaluation processes.
Requirements:
- Min. Degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence or related fields.
- Min. 2 years of relevant experience in a similar role, with hands-on experience in designing, developing and deploying machine learning in real-world applications.
- Proficient in machine learning frameworks and libraries such as TensorFlow and PyTorch , particularly for computer vision tasks including object detection, classification and tracking.
- Familiarity with relational database management systems (RDBMS) such as PostgreSQL and Microsoft SQL Server, as well as experience with vector databases.
- Experience in application software development across multiple platforms including Windows , Linux , mobile operating systems (iOS, Android) and embedded systems .
- Strong programming skills in Python , Java and C++ , with experience in GPU-accelerated computing using CUDA and TensorRT .
- Knowledge of edge computing platforms and hardware accelerators such as NVIDIA Jetson , Google Coral , and ARM Cortex .
- Excellent written and spoken English communication skills, fluency in Chinese is a plus for effective interaction with Chinese-speaking stakeholders.
- Candidates must meet legal requirements to work in Singapore without sponsorship .
Artificial Intelligence (AI) Specialist
Posted 11 days ago
Job Viewed
Job Description
As an AI Specialist, you will be developing and implementing AI solutions to enhance our financial products and services. You will work on a variety of AI and machine learning projects with the aim of improving user experiences, optimizing operations, and driving business growth.
Key Responsibilities:
- Design, develop, and deploy AI models and algorithms for various financial applications.
- Collaborate with cross-functional teams to gather and analyze data, identify opportunities for AI integration, and provide data-driven insights.
- Implement Generative AI, predictive AI, data analytics, and other AI techniques to develop advanced financial tools.
- Stay up-to-date with the latest AI and machine learning trends and technologies and assess their potential applications in the Fintech industry.
- Optimize AI models for accuracy performance, scalability, and reliability.
- Create and maintain documentation for AI solutions, including model architecture, data pipelines, and processes.
- Participate in code reviews and provide guidance on best practices for AI development.
- Be part of building up MLOps ecosystem.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Having final year project or any working experience related to AI would be an advantage.
- Excellent problem-solving and analytical skills.
- Effective communication and teamwork abilities.
All applications will be treated in strict confidence. We regret that only shortlisted applicants will be notified.
Note: Job responsibilities / requirements are representative and are not intended to be a detailed list. Other tasks/abilities may be required of the incumbent, relative to the specific assignment.
Job Requirement:Experience Level: Entry level (i.e. Exec, Snr. Exec)
Bachelor's Degree: Required
Language:
Skillset:
- Analytical Skills
- Teamwork
- Problem-solving
Remuneration package:
Competitive Salary (way above market rate if you have the right potential!)
Coverage:
Insurance and medical coverage.
Monthly sports allowance, Yearly department gathering and welcome dinner for new staff.
Company Overview:iFAST Corporation is a global digital banking and wealth management platform headquartered in Singapore, providing a comprehensive range of investment products and services to financial advisory firms, financial institutions, banks, internet companies, multinational companies, as well as retail and high net worth investors in Asia.
#J-18808-LjbffrArtificial Intelligence (AI) Engineer
Posted today
Job Viewed
Job Description
AI Engineer
to drive the design and deployment of advanced AI solutions. The role involves selecting and implementing optimal AI models, as well as building data engineering pipelines to support machine learning model training, evaluation and deployment. You will collaborate closely with cross-functional teams to innovate, execute and deliver AI technologies, ensuring project success through strong technical expertise, effective teamwork and clear communication. Key Responsibilities: Collaborate with cross-functional teams to define technical specifications for AI-driven software solutions. Build and maintain robust, scalable data pipelines to support
machine learning
and
AI model training . Design and manage data architectures that enable efficient and reliable AI workflows. Prepare, clean, and integrate large datasets; design and implement vector databases to support training and inference of machine learning models. Design and develop AI models and APIs, integrating them seamlessly into both
application software and embedded hardware systems . Review codes developed by team members, driving continuous improvement of AI models through algorithm refinement, code optimisation, and stakeholder feedback. Develop comprehensive test cases; conduct rigorous testing, debugging and bug fixing to ensure high quality, performance and system reliability. Train, evaluate and fine-tune machine learning models to achieve optimal efficiency and low latency. Implement
MLOps
best practices to manage the end-to-end software and machine learning lifecycle, including version control, CI/CD pipelines, and documentation. Collaborate with project leaders to plan, execute, monitor, and deliver multiple projects using
Agile methodologies . Work closely with project teams to deploy machine learning models into production environments and support post-deployment operations. Analyse data to extract meaningful insights and present results to stakeholders to support product and business decisions. Conduct research and collaborate with external stakeholders to stay up to date with the latest AI technologies and industry standards, continuously enhancing development and evaluation processes. Requirements: Min. Degree
in Computer Science, Computer Engineering, Data Science, Artificial Intelligence or related fields. Min. 2 years
of relevant experience in a similar role, with
hands-on experience
in designing, developing and deploying machine learning in real-world applications. Proficient in machine learning frameworks and libraries such as
TensorFlow
and
PyTorch , particularly for
computer vision tasks
including object detection, classification and tracking. Familiarity with relational database management systems (RDBMS) such as PostgreSQL and Microsoft SQL Server, as well as experience with vector databases. Experience in application software development across multiple platforms including
Windows ,
Linux ,
mobile operating systems (iOS, Android)
and
embedded systems . Strong programming skills in
Python ,
Java
and
C++ , with experience in GPU-accelerated computing using
CUDA
and
TensorRT . Knowledge of edge computing platforms and hardware accelerators such as
NVIDIA Jetson ,
Google Coral , and
ARM Cortex . Excellent written and spoken English communication skills, fluency in Chinese is a plus for effective interaction with Chinese-speaking stakeholders. Candidates must meet legal requirements to work in Singapore
without sponsorship .
#J-18808-Ljbffr
Lead Artificial Intelligence Engineer
Posted today
Job Viewed
Job Description
Join to apply for the
Lead Artificial Intelligence Engineer
role at
Tap Growth ai Tap Growth ai Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 days ago Be among the first 25 applicants Join to apply for the
Lead Artificial Intelligence Engineer
role at
Tap Growth ai We're Hiring: Lead Artificial Intelligence Engineer!
We are seeking an innovative and experienced Lead AI Engineer to spearhead our artificial intelligence initiatives and drive cutting-edge AI solutions. The ideal candidate will have deep expertise in machine learning, neural networks, and AI frameworks to lead technical teams, architect scalable AI systems, and deliver transformative AI products.
Location:
Kuala Lumpur, Malaysia
Work Mode:
Work From Office
Role:
Lead Artificial Intelligence Engineer
What You'll Do
Lead AI strategy development and implementation
Design and architect advanced machine learning models
Mentor and guide junior AI engineers
Optimize AI algorithms for performance and scalability
Research emerging AI technologies and methodologies
Drive AI product development from concept to deployment
What We're Looking For
Advanced degree in AI, Machine Learning, or Computer Science
5+ years of hands-on AI/ML development experience
Expertise in Python, TensorFlow, PyTorch, and cloud platforms
Strong leadership and team management skills
Experience with deep learning and neural network architectures
Proven track record of delivering production AI systems
Ready to shape the future of AI?
Apply now and let's innovate together! Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Other Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Tap Growth ai by 2x Get notified about new Artificial Intelligence Engineer jobs in
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About the latest Ai research scientist Jobs in Malaysia !
Lecture (Data Science/Artificial Intelligence/Cybersecurity/Computer Science)
Posted 11 days ago
Job Viewed
Job Description
Job Title: Lecturer (Data Science/Artificial Intelligence/Cybersecurity/Computer Science)
Location: Damansara Heights/ Subang Bestari
Reporting to: Dean of School of Information and Communication Technology
Established in 1986, HELP University is a leading institution in Malaysia, renowned globally for its commitment to excellence in education. It's ranked No. 1 for Outbound Student Exchange programs in QS World University Ranking: Asia 2021. It is also a top choice for international students and employers, offering high-quality specialist disciplines and postgraduate programs. Recently, it was honored as one of Talentbank’s Employer's Choice for Universities 2024 and proudly received the Diversity Hirer Award in the prestigious Life at Work Awards by TalentCorp , further cementing its reputation as a forward-thinking and inclusive institution.
JOB DESCRIPTION:
- To lecture/teach the course(s) assigned and cover the syllabi outlined for the assigned course(s) in a logical and readily understood sequence, and in accordance with students' assignment requirements.
- To assist students in the understanding of the topics covered and generally to prepare them for their final examinations.
- To guide students in the understanding of assignment requirements.
- To answer student queries on academic matters relating to the unit promptly.
- To set and mark assessments (quiz, test, assignments, examinations) for students.
- To invigilate examinations.
- To develop and update course materials as required.
- To attend staff meetings as deemed necessary by the Head of the Department.
- To give students regular guidance to assist the progress of their academic achievement.
- To counsel students on appropriate career/academic direction on completion of their course.
- To counsel at exhibition fairs which HELP participates.
- To conduct research in areas as per discussion with Head of Department and publish papers and present papers at conference.
JOB REQUIREMENTS:
- A PhD or Masters degree in Data Science, Artificial Intelligence, Cybersecurity, Computer Science, Computing.
- At least 3 years working experience as an academic.
- Experience as a programme leader and supervision at Masters and PhD level would be an advantage.
- Strong communication and interpersonal skills.
- Strong organizational and time management skills.
- Knowledge of MQA standards and regulatory requirements.
- Proficient in Microsoft Office Suite and others.
At HELP University, we believe that our strength lies in the diversity of our team. We are committed to fostering an inclusive environment where all individuals are treated with respect and are empowered to contribute fully. We welcome applications from people of all backgrounds, regardless of race, ethnicity, gender, sexual orientation, age, disability, or any other characteristic that makes each of us unique.
#J-18808-LjbffrLecture (Data Science/Artificial Intelligence/Cybersecurity/Computer Science)
Posted today
Job Viewed
Job Description
Talentbank’s Employer's Choice for Universities 2024
and proudly received the Diversity Hirer Award in the prestigious
Life at Work Awards by TalentCorp , further cementing its reputation as a forward-thinking and inclusive institution. JOB DESCRIPTION: To lecture/teach the course(s) assigned and cover the syllabi outlined for the assigned course(s) in a logical and readily understood sequence, and in accordance with students' assignment requirements. To assist students in the understanding of the topics covered and generally to prepare them for their final examinations. To guide students in the understanding of assignment requirements. To answer student queries on academic matters relating to the unit promptly. To set and mark assessments (quiz, test, assignments, examinations) for students. To invigilate examinations. To develop and update course materials as required. To attend staff meetings as deemed necessary by the Head of the Department. To give students regular guidance to assist the progress of their academic achievement. To counsel students on appropriate career/academic direction on completion of their course. To counsel at exhibition fairs which HELP participates. To conduct research in areas as per discussion with Head of Department and publish papers and present papers at conference. JOB REQUIREMENTS: A PhD or Masters degree in Data Science, Artificial Intelligence, Cybersecurity, Computer Science, Computing. At least 3 years working experience as an academic. Experience as a programme leader and supervision at Masters and PhD level would be an advantage. Strong communication and interpersonal skills. Strong organizational and time management skills. Knowledge of MQA standards and regulatory requirements. Proficient in Microsoft Office Suite and others. At HELP University, we believe that our strength lies in the diversity of our team. We are committed to fostering an inclusive environment where all individuals are treated with respect and are empowered to contribute fully. We welcome applications from people of all backgrounds, regardless of race, ethnicity, gender, sexual orientation, age, disability, or any other characteristic that makes each of us unique.
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Junior/Senior Data Scientist/ Artificial Intelligence
Posted today
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Job Description
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Researcher at Telekom Research and DevelopmentStrategic Role:
• To execute research & development activities in research division based on the project assignment and role in an integrated, timely, cost effective and high quality manner in accordance with division’s strategic and operating objectives.
Key Responsibilities:
• Deliver research projects under Data Science and Artificial Intelligence domain related to Machine Learning, Deep Learning frameworks, Natural Language Processing NLP techniques, Generative AI models and Computer Vision
• Work independently and provide adequate Data Science and Artficial Intelligence domain support to project team.
• Support IPR initiatives such as scientific paper publication, patent and copyright where applicable.
Job Requirements
- Bachelor’s Degree in Applied Statistics/Computer Science or similar qualification or relevant working experience (5 years of relevant working experience for senior roles).
- Strong mathematical, statistical, or actuarial background.
- Experienced in AI and Data Science, including:
- Machine learning algorithms (supervised and unsupervised)
- Deep learning frameworks (TensorFlow, PyTorch)
- Programming proficiency in Python for AI and data science tasks.
- Experience with big data platforms (Hadoop, Spark, etc.) and data visualization tools (Tableau, PowerBI).
- Excellent communication and interpersonal skills to effectively collaborate with internal and external stakeholders.
- Passion for continuous learning and staying current on emerging trends in AI and data science technologies.
- Excellent inter-personal and communication skills with both internal and external stakeholders and passionate about learning and staying updated in emerging trends and software technologies.
- Passion for continuous learning and staying current on emerging trends in AI and data science technologies.
- Seniority level Executive
- Employment type Contract
- Job function Research
- Industries Software Development
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