274 AI & Emerging Technologies jobs in Malaysia

Join to apply for the PhD Opportunities in Artificial Intelligence and Precision Oncology for Head and Neck Cancer Research role at PhDFinder

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Join to apply for the PhD Opportunities in Artificial Intelligence and Precision Oncology for Head and Neck Cancer Research role at PhDFinder

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University: University of Hong Kong

Country: Hong Kong

Deadline:

Fields: Biomedical Engineering, Computer Science, Biomedical/Health Informatics, Artificial Intelligence, Computational Biology

The Faculty of Dentistry at the University of Hong Kong invites applications for 1-2 fully funded PhD positions in an interdisciplinary research group focusing on head and neck cancer, commencing Fall 2026. The research group, led by Professor John Adeoye-Onipede and advertised on LinkedIn, aims to advance the integration of artificial intelligence and precision oncology for improved clinical outcomes.

Research Areas Include

– Development of AI models, particularly for computational pathology (CPath)

– Augmented Intelligent Reality applications

– Detection and quantification of biomarkers

– Precision oncology approaches

– Clinical implementation of AI-driven models

Requirements

– A strong academic background in Biomedical Engineering, Computer Science, Biomedical/Health Informatics, Artificial Intelligence, Computational Biology, or a related field

– Demonstrated programming proficiency and relevant research experience

– Motivation to pursue interdisciplinary research in oncology and AI

Outstanding candidates are encouraged to apply for the HKU Presidential PhD Scholar Program or the Hong Kong PhD Fellowship Scheme.

How To Apply

Interested applicants should email a brief introduction and CV to

For further information about Professor John Adeoye-Onipede and his research, please refer to the following links:

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• Seniority level Internship

• Employment type Full-time

• Job function Research, Analyst, and Information Technology
• Industries Education

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Get notified about new PHD jobs in Hong Kong Park, Perak, Malaysia .

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At PayNet, we’re on a mission to accelerate Malaysia’s journey toward a cashless society and greater financial inclusion. As a Data Scientist, you’ll play a pivotal role in uncovering insights that drive strategic decisions, optimize performance, and shape the future of digital payments in the country. Your work will directly influence how individuals and merchants engage with cashless solutions, making a real impact on the nation’s financial ecosystem.

YOUR JOURNEY WITH US

As a Data Scientist at PayNet, you will:

Segment Customers & Merchants with Precision

• Develop advanced segmentation models using demographic, geographic, and behavioral data to uncover trends and drive targeted strategies that promote cashless adoption.

Ensure Data Integrity & Readiness

• Champion data quality by identifying anomalies, validating inconsistencies, and collaborating across teams to ensure our transaction data is robust and analysis-ready.
• Investigate fluctuations in transaction volumes and sizes, uncovering the impact of marketing, pricing, and seasonality. Your insights will guide national strategies for digital

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Other locations: Primary Location Only

Date: 24 Jul 2025

Requisition ID:

EY’s AI & Data team is growing and seeking exceptional talent at multiple levels – from Senior Associate to Senior Managers – to help shape the future of data science and artificial intelligence in business. As part of our dynamic, multidisciplinary team, you'll be instrumental in designing and implementing AI-driven solutions, including Generative AI (GenAI) , for clients across industries. Whether you are a technical expert or a strategic leader, this role offers the opportunity to drive innovation, create real-world impact, and build the future of intelligent enterprises.

We are seeking individuals who are passionate about solving complex business problems using AI/ML, including GenAI, and who are experienced in leading data science engagements from strategy to implementation. This is a full-time basis role and is based in our Kuala Lumpur, Malaysia office

Key Responsibilities:

Lead the delivery of end-to-end data science projects, including data acquisition, feature engineering, modeling, evaluation, and deployment.

Collaborate with stakeholders to understand business problems and translate them into analytical solutions.

Design and develop machine learning models, including generative models such as LLMs (e.g., GPT, Claude, LLaMA) for applications like text summarization, content generation, document intelligence, and chatbots.

Guide clients in the adoption of AI/ML strategies, including the responsible use of GenAI in business processes.

Build and manage reusable ML pipelines and support MLOps practices to operationalize models.

Mentor junior data scientists and contribute to capability building within the team.

Stay current with developments in AI/ML and GenAI technologies, tools, and best practices.

Present findings and insights in a clear, compelling way to business and technical audiences.

Skills and Attributes for Success:

Strong analytical and problem-solving skills with the ability to think strategically and act tactically.

Proficiency in Python or R, with hands-on experience using libraries such as Scikit-learn, PyTorch, TensorFlow, and Hugging Face Transformers.

Experience building and fine-tuning GenAI models using frameworks like LangChain, LlamaIndex, or integrating APIs from OpenAI, Azure OpenAI, or other foundation model providers.

Solid understanding of NLP, deep learning, and data modeling techniques.

Familiarity with cloud platforms (Azure, AWS, GCP) and containerized deployments (Docker, Kubernetes).

Excellent communication and stakeholder engagement skills.

To qualify for the role, you must have:

A Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field. A PhD is a plus.

For Senior Associate: Minimum 2+ years of hands-on experience in data science or AI projects.

For Manager to Senior Managers: 6+ years of experience, with a proven track record of project leadership, client engagement, and team management.

Demonstrated experience applying both traditional ML and GenAI in real-world business use cases.

Experience working with large language models (LLMs) and/or vector databases is a strong advantage.

Ideally, you’ll also have:

Certifications in AI/ML (e.g., Azure AI Engineer Associate, AWS Machine Learning Specialty).

Experience with responsible AI practices, explainability, and AI ethics.

Previous consulting or client-facing experience, ideally in cross-industry engagements.

What we look for

• Experience in engaging with both technical and non-technical stakeholders
• Strong consulting experience and background, including engaging directly with clients
• Team management on Advanced Analytics, Business Intelligence, Data Warehousing, Big Data projects

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It’s yours to build.

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EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.

NEXLAW.AI is a pioneering legal AI company dedicated to revolutionizing the legal industry through intelligent automation and machine learning. Based in San Francisco, California, with global operations and a focus on providing "Litigation & Dispute Resolution" AI solutions, NEXLAW.AI develops innovative tools such as TrialPrep, NeXa - Legal Assistant and ChronoVault to assist legal professionals and individuals in optimizing legal research, streamlining Trial Preparation.

Role: Machine Learning Engineer

Location: Puchong, Malaysia

Salary Range: MYR 4,000 - 7,000 per month

Position Overview

We are seeking a highly motivated and detail-oriented Machine Learning Engineer to join our fast-paced, high-performing engineering team. The ideal candidate is passionate about artificial intelligence and has a strong academic foundation, particularly in Natural Language Processing (NLP) and Python development. This role plays a key part in building and improving our AI-powered legal technology platform, with a focus on data preparation, model training, and deploying intelligent solutions that support legal professionals worldwide.

Responsibilities

• Model Development and Implementation: Design, develop, and deploy machine learning models and algorithms tailored for legal applications, including Natural Language Processing (NLP) tasks such as text summarization, contract analysis, and legal document generation.
• Data Preparation and Feature Engineering: Collaborate with data scientists and legal experts to preprocess, clean, and analyze large legal datasets, ensuring data quality and relevance for model training.
• Model Optimization and Evaluation: Evaluate the performance of machine learning models, fine-tune hyperparameters, and implement strategies to improve accuracy, efficiency, and scalability.
• Infrastructure and Deployment: Work closely with software engineers to integrate ML models into production systems, managing and maintaining the infrastructure necessary for scalable and reliable AI solutions.
• Research and Innovation: Stay abreast of the latest advancements in machine learning and AI, applying innovative techniques to enhance existing products and develop new functionalities within the legal tech domain.

Qualifications

• Education: Degree in IT, Engineering, Computer Science, or related fields.
• 1-3 years working experience in related fields
• CGPA: Minimum 3.5 CGPA (or provide a recommendation letter if lower).
• Proficiency in Python (including libraries like pandas, numpy, nltk, sklearn, requests, bs4).
• Experience with Natural Language Processing (NLP) (a must).
• Familiarity with Jupyter Notebook or PyCharm IDE.
• Strong teamwork, interpersonal, and communication skills.
• Ability to work in a fast-paced environment.
• Experience in machine learning, NLP, computer vision, or neural networks.
• Practical experience with Python libraries for machine learning tasks.
• Familiarity with data analysis and visualization tools.

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

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Maybank WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maybank WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

To transform Maybank into a AI Led Organization by enabling business & leadership with easier, faster, better exposure to AI powered capabilities with special augmentation of Gen AI technology.

Objective

Develop and optimize AI models and infrastructure to deliver cutting-edge AI applications and chatbots.

Key Responsibilities

• Develop AI models using the latest advancements in LLMs and ensure their seamless integration into application frameworks.
• Optimize existing AI systems and models for improved efficiency and accuracy.
• Collaborate closely with data engineers and architects to implement effective data strategies for model training and evaluation.
• Stay current with AI research by attending conferences and workshops, bringing innovative ideas back to the team.
• Conduct rigorous testing and validation of AI models to ensure they meet quality standards.
• Write clean, manageable code and maintain proper documentation for all implemented AI systems.
• Participate in peer code reviews and contribute to team knowledge by providing expertise on coding standards and best practices.

Requirements & Skills

• Deep technical expertise in AI and machine learning, particularly in building and deploying large language models and transformers.
• Experience with RAG pipelines, vector embedding, and tokenization techniques, crucial for developing sophisticated AI systems.
• Strong knowledge of in-context learning, fine-tuning, zero-shot learning, few-shot learning, and prompting techniques.
• Proficiency in programming languages like Python, and experience with ML frameworks such as TensorFlow, PyTorch, and libraries from Hugging Face.
• Experience with cloud services (AWS, Azure, Google Cloud) and on-premises deployments, focusing on scalability and security of AI deployments.
• Ability to work collaboratively in a fast-paced, team-oriented environment

Educational Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, or related technical fields.
• Master’s degree or advanced studies in fields like Machine Learning, Data Science, or Computational Linguistics is preferred.
• Certifications or demonstrable experience in specific AI technologies, such as TensorFlow or PyTorch, and familiarity with cloud services used for AI deployments.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Banking

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With a global team of 6000+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions . We work beyond global borders and push boundaries across all dimensions of logistics . You can leave your mark shaping the technology backbone of the biggest logistics company of the world. Our offices in Cyberjaya, Prague, and Chennai have earned #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences.

Digitalization. Simply delivered.

At IT Services, we are passionate about technology. Our team is continuously expanding. No matter your level of proficiency, you can always grow within our diverse environment.

#DHL #DHLITServices #GreatPlace

Grow together

We are seeking a talented and motivated Machine Learning Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex business problems. You will collaborate with cross-functional teams to integrate machine learning solutions into our logistics and supply chain processes.

Key Responsibilities:

• Design and implement machine learning models and algorithms for various applications, including predictive analytics, optimization, and automation.
• Collaborate with data scientists, software engineers, and business stakeholders to understand requirements and deliver actionable insights.
• Preprocess and analyze large datasets to identify trends, patterns, and anomalies.
• Optimize machine learning models for performance and scalability.
• Conduct experiments and A/B testing to evaluate model effectiveness and iterate on solutions.
• Stay updated with the latest advancements in machine learning and artificial intelligence technologies.
• Document processes, methodologies, and results to ensure knowledge

Select how often (in days) to receive an alert:

Service Line / Portfolios: Engineering, AI & Data

Location:

Kuala Lumpur, MY

Are you ready to unleash your potential?

At Deloitte, our purpose is to make an impact that matters for our clients, our people, and the communities we serve.

We believe we have a responsibility to be a force for good, and WorldImpact is our portfolio of initiatives focused on making a tangible impact on society’s biggest challenges and creating a better future. We strive to advise clients on how to deliver purpose-led growth and embed more equitable, inclusive as well as sustainable business practices.

Hence, we seek talented individuals driven to excel and innovate, working together to achieve our shared goals.

We are committed to creating positive work experiences that foster a culture of respect and inclusion, where diverse perspectives are celebrated, and everyone is recognised for their contributions.

Ready to unleash your potential with us? Join the winning team now!

Deloitte’s Technology, Media & Telecommunications (TMT) industry group brings together one of the world’s largest pools of deep industry experts – respected for helping shape some of the world’s most recognized TMT brands and helping companies of all shapes and sizes thrive in a digital world.

This role sits within the Artificial Intelligence & Data team of Deloitte Southeast Asia, which encompasses data, analytics and cognitive automation (CA). As a leader of this group, you will drive the growth of our CA business in the region and be responsible for the creation, sale and delivery of CA solutions: robotic process automation, intelligent character recognition, chatbots/virtual assistants and artificial intelligence

The Artificial Intelligence & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

As a Director you will

• Focus on the delivery of client work and lead a cross-service line team for major deliverables and projects. In addition, Managers should undertake practice development and business management activities to help grow the Artificial Intelligence & Data practice as well as aligning to an industry to exploit depth of knowledge and professional experience.
• Working as a key business partner to high profile clients, you'll have the chance to develop your expertise from strategy to execution, as well as in delivery and implementation. As a Manager in the Artificial Intelligence & Data team (BI, Big Data or Analytics), you'll be able to put your own creative ideas into practice as you take ownership of deliverables and resources on transformation projects, and hone your commercial skills.
• You will be continually encouraged to devise innovative solutions to help our clients maximise the value of their data assets by helping them transform data into insight. You will also assume real ownership of projects and key stakeholders at executive levels as you help them execute their strategy to build an efficient analytics organisation, processes and supporting technology.
• Design and develop tailor-made solutions, strengthen our presence in the market, identify revenue-generating opportunities and get involved in proposal writing, pitch presentations, etc.
• Build global trusted relationships with key clients
• You must have strong implementation experience in one or more of the following competencies and enabling technologies:
• Designing & implementing appropriate data structures to support Big Data, Analytical models and traditional BI/DW reporting solutions using relational and non-relation data management technologies such as IBM DB2/Netezza, Microsoft SQL Server/PDW, Oracle Exadata, SAP HANA, Oracle Exalytics, Teradata, Pivotal, Cloudera, Hortonworks, IBM BigInsights.
• Designing and developing data integration (including batch/real-time, ETL/ELT) processes with a variety of structured and unstructured data with tools such as Informatica, Talend or AWS Glue.
• Partnering with business users to co-design impactful visual, interactive dashboards and reports with technologies such as QlikView, Tableau, Spotfire, PowerBI or AWS QuickSight.
• Applying analytical models to predict business outcomes with tools such as DataRobot or TensorFlow, Keras or pyTorch.
• Application of core complementary information management disciplines including Data Governance, Data Quality, MDM and Metadata management.

Your role as a leader

At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We expect our people to embrace and live our purpose and shared values, challenging themselves everyday to identify issues that are most important to our clients, our people and the communities, and to make an impact that matters. In addition to living our purpose, Managers across our Firm are expected to:

• Lead from the front, acting as an exemplary role model of integrity for leaders at all levels; promote a strong sense of loyalty and followership as well as to energise others to perform at the highest level
• Build a high-performance culture by cultivating individual and team strengths; drive outstanding service, quality and stakeholder value, often through a mix of large cross-business and/or cross-border teams.
• Anticipate market and competitor trends to develop and deliver bold and innovative solutions that differentiates Deloitte from others.
• Build and maintain trust-based relationships with senior stakeholders and influencers, using highly developed influencing skills to drive positive impact in complex situations.
• Set and communicate strategic direction, excite people around the vision and align diverse, cross-business as well as cross-border teams to achieve success.
• Manage the development of a strong pipeline of diverse talent for current/ future success; own and drive a talent experience that differentiates Deloitte from others.
• Actively manages the business to deliver maximum value to Deloitte and to external stakeholders.
• Anticipate market and competitor trends to develop and deliver bold and innovative solutions that differentiates Deloitte.

Requirements

• A good honors Degree, preferably at postgraduate level, in Computer Science, Software Engineering, Statistics, Mathematics or related disciplines with good experience in Gen AI.
• Extensive experience in Big 4 or MNC Consulting firm or industry related role.
• Minimum of 15 years of relevant experience in the consulting industry with solid experience in the sales cycle and in leading project teams
• Strong experience directly interfacing with senior business and IT stakeholders for clients.
• Strong commitment to professional client service excellence.
• Ability to work independently, to work in a fast paced and demanding environment
• Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.
• You have strong understanding of either structured and unstructured data mining, visualisation and analytics or Intelligent Automation
• Drive, tenacity, entrepreneurship, client focused and results oriented. You enjoy working methodically and with a great attention to detail.
• Excellent interpersonal relations and demonstrated ability to work with others effectively in teams.
• Superior verbal and written communication skills including a proven track record in developing and conducting interviews, focus groups and presentations.
• Strong business acumen with the ability to develop and present new ideas and conceptualise new approaches and solutions.

Due to volume of applications, we regret that only shortlisted candidates will be notified.

Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.

#LI-CW

Requisition ID:

In Malaysia, the services are provided by Deloitte and other related entities in Malaysia ("Deloitte in Malaysia"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Malaysia, which is within the Deloitte Network, is the entity that is providing this Website.

Unravel Carbon Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Join to apply for the Machine Learning Engineer - Kuala Lumpur role at Unravel Carbon

Unravel Carbon Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Join to apply for the Machine Learning Engineer - Kuala Lumpur role at Unravel Carbon

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About Unravel Carbon

At Unravel Carbon, we're on a mission to accelerate the world's transition to a zero-carbon economy. We're a team of entrepreneurs, engineers, and climate experts who believe that data and AI are the keys to unlocking a sustainable future. Our Sustainability AI agents platform helps companies across the globe to measure, reduce, and report their carbon emissions with unprecedented accuracy and efficiency. We're backed by top-tier investors like Sequoia and Y Combinator, and we're growing fast.

Machine Learning Engineer

at Unravel Carbon

About Unravel Carbon

At Unravel Carbon, we're on a mission to accelerate the world's transition to a zero-carbon economy. We're a team of entrepreneurs, engineers, and climate experts who believe that data and AI are the keys to unlocking a sustainable future. Our Sustainability AI agents platform helps companies across the globe to measure, reduce, and report their carbon emissions with unprecedented accuracy and efficiency. We're backed by top-tier investors like Sequoia and Y Combinator, and we're growing fast.

Our culture is built on a foundation of intellectual honesty, extreme ownership, and a relentless focus on results. We're a fun, collaborative, and purpose-driven team that isn't afraid to tackle the world's biggest challenges. If you're ready to do the best work of your life and make a real impact, we want to hear from you.

About The Role

We are looking for an early-career ML Engineer with a focus on Generative AI to join our early, growing team. It is a great opportunity to join a company that can have a material impact on fighting climate change.

As the Machine Learning team, we strive to design and build AI products and systems that are reliable, scalable, and maintainable. Some of the traits that we promote within the team are ownership, curiosity, transparency, and a strong writing culture. As an early team member, you will be expected to help shape our product direction and to strengthen the team's culture. You will collaborate closely with product managers, software engineers, designers, data engineers, and sustainability experts to ship products that create value and solve problems for our customers.

What You Will Work On

• Build AI agents for sustainability professionals that automate emissions calculations, extract insights from emissions inventory, generate sustainability reports, and streamline other key sustainability workflows.
• Develop LLM-powered systems that process and understand sustainability data from various sources like invoices, utility bills, and supply chain documents.
• Build agentic workflows that combine language models with structured data processing and domain-specific reasoning capabilities.
• Continuously improve our multi-ML model (semantic search and text classification) carbon engine that calculates carbon emissions, using millions of lines of transactional data and our proprietary data set of carbon emission factors.
• Design and build scalable, modular ML services on AWS infrastructure that serve both traditional ML models (transformer-based models like ModernBERT, T5) and LLM-based systems in production.
• Implement evaluation frameworks and quality controls for LLM-based systems to ensure reliable performance in production.
• Lead our efforts to build AI-powered systems that leverage our various data sets to automatically identify and recommend decarbonization solutions for our customers.
  
  
  

• You have 1-3 years of experience in Machine Learning, Generative AI or are an upcoming new graduate with extensive relevant internships.
• You have strong experience in Python, SQL and are comfortable with modern ML frameworks like transformers, LangChain, or similar libraries.
• You are familiar with LLMs, prompt engineering, and have worked with LLM APIs or built RAG systems.
• You have shipped NLP/ML solutions to production and can demonstrate the impact of your work.
• You are able to own the entire lifecycle of a Machine Learning project. You don't need to be an expert on every aspect of it, but you must be a quick learner to pick things up and go deep when needed.
• You have an understanding of system design and can build scalable ML services.
• You like to think through product problems and enjoy working cross-functionally.
• You use solid engineering practices, write maintainable code, and care about code quality.
• You are proficient with AI-based coding tools and use them effectively in your workflow.
• You thrive in a fast-paced environment and can adapt quickly to changing priorities.
• You enjoy mentoring others where you can.
  
  
  

• You have experience with LLM evaluation, guardrails, or agent frameworks.
• You have worked with vector databases and embedding systems.
• You have domain knowledge in sustainability, carbon accounting, or climate tech.
• You have a Master or PhD degree in Computer Science, Applied Computing, Computational Linguistics, Machine Learning or a related field.
  
  
  

• Opportunity to shape product direction and team culture at a fast-growing climate tech startup backed by top-tier investors.
• Work directly with founders and senior leadership on products that have material impact on fighting climate change.
• Gain deep expertise in applying cutting-edge AI techniques to solve critical sustainability challenges.
• Experience building production AI systems at scale while contributing to the world's transition to a zero-carbon economy.
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Climate Data and Analytics

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At CARSOME, we are at the forefront of the data revolution. We build intelligent, scalable products that empower our stakeholders to make smarter decisions and unlock new opportunities. Our teams of world-class engineers, data scientists, and researchers work together to tackle complex challenges, transforming raw data into actionable insights. As we continue to expand our suite of AI-driven products, we are looking for a visionary product leader to guide our strategy and execution.

This is not just another product manager role. We are seeking a strategic and technically-savvy Senior AI Product Manager to own the vision, roadmap, and success of our entire portfolio of AI products. While this includes established products like our internal intelligence platforms, your primary focus will be on the overarching strategy that connects all our data assets and leveraging latest AI capabilities.

You will be the central point of contact for all things related to our AI products, working at the intersection of business, technology, and user experience. You will collaborate closely with Data Science, Engineering, Commercial and Research teams to define what's next and drive the development of innovative solutions that deliver immense value to our stakeholders and the market.

• Product Strategy & Vision:
  • Define and articulate a clear, compelling product vision and strategy for the entire AI product portfolio.
  • Develop and maintain a prioritized product roadmap that aligns with company goals, market opportunities, and technical feasibility.
  • Conduct continuous market research, competitive analysis, and customer discovery to identify new opportunities and ensure product-market fit.
• Execution & Delivery:
  • Translate product strategy into detailed requirements, user stories, and product specifications (PRDs).
  • Work hand-in-hand with Agile development teams, including data scientists and ML engineers, to ensure timely and high-quality delivery.
  • Define, monitor, and analyze key product metrics to measure success, and use this data to inform your roadmap and backlog prioritization.
  • Manage the entire product lifecycle from concept and ideation through to launch, iteration, and end-of-life.
• Collaboration & Stakeholder Management:
  • Act as the primary liaison between technical teams (Data Science, Engineering, Research) and business stakeholders (Sales, Marketing, Leadership).
  • Communicate complex technical concepts and product decisions clearly and persuasively to a wide range of audiences.
  • Champion a culture of data-driven decision-making and collaboration across the organization.
• Data & AI Expertise:
  • Partner with the Data Science and Business Intelligence teams to define data requirements, validation processes, and success criteria for machine learning models.
  • Develop a deep understanding of our data architecture, model lifecycle, and AI capabilities to guide product decisions.
  • Ensure robust data quality, governance, and ethics are embedded into our product development processes.

• 5+ years of product management experience, with at least 3 years focused specifically on data, AI/ML, or platform products.
• Proven track record of managing a portfolio of products and delivering successful outcomes in a fast-paced, tech-driven environment.
• Strong technical acumen and a deep understanding of data science concepts, machine learning model lifecycles, APIs, and data architecture. You should be comfortable discussing these topics in depth with engineers and data scientists.
• Demonstrated experience in the full product development lifecycle, from discovery and validation to launch and go-to-market.
• Excellent analytical and problem-solving skills, with a talent for making data-informed decisions.
• Exceptional communication and interpersonal skills, with the ability to influence and align cross-functional teams and senior leadership.
• Bachelor's degree in Computer Science, Engineering, Business, or a related field.
• Experience working in a B2B SaaS environment is an advantage.
• Proficiency with SQL for data analysis and familiarity with data visualization tools (e.g., Tableau, Looker) is an advantage.