associate professor ai big data

University of Wollongong in Dubai

<div>About UOWD 
Established in 1951 and ranked in the top 1% of universities worldwide*, Australia&rsquo;s University of Wollongong is a global brand with international campuses in Dubai, Hong Kong and Malaysia.
University of Wollongong Dubai (UOWD) offers over 40 internationally recognised bachelor and master degrees spanning 10 in-demand industry sectors. All of our degree courses are accredited by the UAE Ministry of Education&rsquo;s Commission for Academic Accreditation (CAA) and licensed by Dubai&rsquo;s Knowledge and Human Development Authority (KHDA), as well as being recognised by leading professional organisations such as AACSB, ACCA, ACS, CIM, CIPD, CPA, Engineers Australia, PMI, and others.
The first internationally accredited Australian university in the UAE, we are the education gateway of choice for over 3,500 students, representing 100+ nationalities. Our global community of 152,000 alumni are pursuing career goals with respected blue-chip companies and industry giants such as 3M, ADCB, Adidas, Amazon, Deloitte, Emirates, FedEx, GE, IBM, Microsoft and Pepsico. Additionally, research reveals that 83%** of fresh graduates are employed within six months of graduation.
Life at UOWD is rooted in the continued pursuit of excellence through teaching, research and industry engagement, with the student experience at its heart. Our 200,000-square-foot campus at Dubai Knowledge Park features access to cutting-edge technologies and a mix of traditional and innovative learning spaces, all housed in a vibrant modern setting that promises to deliver an enriched learning experience for our students.<ul><li>QS World University Rankings 2023</li></ul>
**Data from the Graduate Destination Survey 2017 to 2020
About the School 
The School of Computer Science, at the University of Wollongong in Dubai, seeks to appoint for the September 2026 semester a dynamic and talented academic with expertise in one or many of the following areas: Big Data Management, Big Data Mining Techniques and Implementation, Foundations of Artificial Intelligence, Modern Artificial Intelligence, Machine learning models, generative AI and general adversarial networks (GANs), Natural language processing, Computer Vision.
The School of Computer Science aims at producing innovative, well-rounded, hands-on professionals that are well versed in technological and computing concepts and skills. The school offers 7 programs under the umbrella of computer science and IT. Those programs are designed to be practical and focused on industry needed skills in popular areas of computer science and IT, including: Software development, Cyber Security, Big data and AI, Gaming and mobile development, Business information systems, IT management, and digital transformation.
Requirements &amp; Responsibilities 
We are seeking an experienced academic in the area of AI and Big Data having a PhD in the related field, from a recognized university. The position is offered at the Associate Professor level, according to experience and qualification. It is a full-time position that requires the holder to contribute to the School's teaching, research and governance activities.
The applicant is expected to have teaching experience in AI and Big Data related topics including: Big Data Management, Big Data Mining Techniques and Implementation, Foundations of Artificial Intelligence, Modern Artificial Intelligence, Machine learning models, generative AI and general adversarial networks (GANs), Natural language processing, Computer Vision, as well as core computer science subjects such as programming, database management, web technologies, and networking at a recognized higher education institution, along with a record of scholarly research and high-quality publications in the relevant field. Industry experience or evidence of industry-academic collaborations would also be beneficial.
The post-holder will also be expected to supervise final year graduation projects, MSc projects and PhD Thesis. He/She will be expected to fully engage in scholarly and research activities within the thriving engineering team to produce high-impact research and deliver research-informed undergraduate and Master's level teaching. The applicant is expected to have an experience of involvement in collaborative research with external organizations and have a strong track record for the dissemination of knowledge through recent publications in high impact international journals and international conferences.
As a Faculty member, you will have an excellent research track record and will be required to demonstrate research leadership from the outset. You will be expected to raise the profile of the Faculty through external networking, and producing high impact, high profile publications. In addition, you will be expected to seek to gain your own research funding to develop/expand your role within the university.
Qualifications &amp; Experience 
To qualify for the above role, candidate must have the following qualifications and experience<ul><li>PhD. in Computer Science/AI and Big Data with thesis in AL and Machine Learning from a recognized international academic institution</li><li>At least 6 years of teaching experience at an internationally recognized institution in area related to Computer Science, AI, Data Analytics.</li><li>Working knowledge of techniques and tools for: Big Data Management, Big Data Mining Techniques and Implementation, Foundations of Artificial Intelligence, Modern Artificial Intelligence, Computer vision and applications, Data Mining, Database performance tuning, GANs, Generative AI, and Natural language processing.</li><li>Industry experience related to Advanced AI, Machine Learning and Smart systems is a plus</li><li>An active researcher in the field (or related field) with publications in recognized international journals and indexed in Scopus and Web of Science</li><li>Fluency in the English language (both spoken and written)</li><li>Excellent communication skills</li></ul>
Preferred Qualifications<ul><li>Documented experience in the application of Artificial Intelligence, Machine Learning, and Big Data Analysis to modern information systems problems</li><li>Ability to teach and conduct research about the latest AI and Big Data Analysis techniques and strategies as well as the project skills to apply this knowledge in the real world</li><li>Ability to teach and conduct research about the latest computer science topics to design, implement and test AI based solutions for solving complex problems.</li><li>Working knowledge of Relational and Cloud databases</li><li>Experience with Hadoop, HBase, Spark and other Big data management technologies</li><li>Experience with AI and Machine learning models, and related libraries and platforms (e.g. TensorFlow, Keras, caffe, PyTorch, Theano, OpenCV, OpenAI, Gemini).</li></ul></div>

Associate Professor - AI & Big Data

American International University

<div>Full-time Faculty, Graphic Design

This position accepts local candidates only. 
Classification: Faculty (Institutional Support)

Reports To: Dean, School of Architecture and Design

Location: Saad Al Abdullah, Kuwait 
Position Summary: 
The School of Architecture and Design invites applications for a full-time faculty position in Multimedia Design at the rank of Full Professor, Associate Professor, or Assistant Professor, depending on qualifications and experience. The successful candidate will demonstrate excellence in teaching multimedia design, maintain an active research and/or creative practice profile, and engage with contemporary multimedia technologies and methodologies. The appointee will contribute to undergraduate education, curriculum development, student mentorship, and institutional service within a collaborative and multicultural academic environment. 
Key Responsibilities 
Teaching and Curriculum Development:
<ul>
<li>Deliver innovative undergraduate courses in multimedia design, including interactive media, animation, video production, motion graphics, and digital storytelling.</li>
</ul><ul><li>Integrate emerging technologies such as virtual/augmented reality, immersive media, AI-assisted design tools, and interactive platforms into the curriculum.</li>
</ul><ul><li>Develop and update course content to reflect industry standards and accreditation requirements.</li>
</ul><ul><li>Supervise senior projects and guide students in digital portfolio development.</li>
</ul><ul><li>Maintain rigorous assessment standards and structured studio critique methodologies.</li></ul> 


Research, Scholarship, and Creative Activity:
<ul>
<li>Maintain an active research agenda and/or professional creative practice in multimedia, motion design, or digital media.</li>
</ul><ul><li>Publish in peer-reviewed journals and present at national and international conferences.</li>
</ul><ul><li>Participate in exhibitions, screenings, digital showcases, and professional collaborations.</li>
</ul><ul><li>Engage in interdisciplinary projects and pursue external funding where applicable.</li>
</ul><ul><li>Contribute to strengthening the School&rsquo;s academic and professional profile.</li></ul> 


Service and Institutional Engagement:
<ul>
<li>Engage actively in departmental, school, and university committees.</li>
</ul><ul><li>Support program assessment, accreditation documentation, and quality assurance activities.</li>
</ul><ul><li>Participate in student recruitment, outreach initiatives, exhibitions, competitions, and community engagement.</li>
</ul><ul><li>Offer academic advising and mentorship to students.</li>
</ul><ul><li>Foster a culture of diversity, equity, and inclusion within the academic community.</li></ul> 


Qualifications 
Required 
<ul>
<li>
Academic Credentials: 
PhD in Multimedia Design, Digital Media, Visual Communication, or a closely related field; or MFA in Multimedia Design or Digital Media from an accredited institution.</li>
</ul><ul><li>Teaching Experience: 
Minimum of five years of university-level teaching experience (for senior ranks), with demonstrated excellence in studio-based multimedia instruction.</li>
</ul><ul><li>Professional Expertise: 
Strong portfolio evidencing professional and/or research-based work in multimedia, motion design, animation, or interactive media.</li>
</ul><ul><li>Technical Skills: 
Proficiency in industry-standard software and tools such as Adobe Creative Cloud (After Effects, Premiere, Illustrator, Photoshop), 3D software (e.g., Blender, Cinema 4D), motion graphics platforms, and interactive design tools.</li>
</ul><ul><li>Research and Scholarship: 
Evidence of peer-reviewed publications, creative productions, exhibitions, or recognized professional practice.</li>
</ul><ul><li>Communication Skills: 
Strong written and oral communication skills in English.</li>
</ul><ul><li>Cultural Competency: 
Experience working effectively in multicultural academic environments.</li></ul> 


Preferred 
<ul>
<li>
Emerging Technologies: 
Expertise in immersive media, AR/VR, game design, AI-driven media production, or interactive installations.</li>
</ul><ul><li>Accreditation Experience: 
Familiarity with accreditation standards (e.g., NASAD or equivalent).</li>
</ul><ul><li>Industry Engagement: 
Professional industry experience and active engagement with digital media networks.</li>
</ul><ul><li>Capstone Supervision: 
Experience supervising senior thesis or multimedia capstone projects.</li>
</ul><ul><li>Interdisciplinary Collaboration: 
Record of collaborative research or externally funded creative initiatives.</li></ul> 


About American International University 
AIU is a new institution of higher education in Kuwait whose first student cohort was admitted in fall 2019. It is a private, coeducational institution offering undergraduate degrees based on the American model of higher education, including a comprehensive general education curriculum. Through its educational and student services programming, the University serves the intellectual, cultural, and personal growth of all members of its community. AIU offers degree programs in Film and Digital Media, Architecture, and Design, Engineering, and Business Administration where the language of instruction is English. 


For more information about AIU visit: www.aiu.edu.kw 


How to Apply

To apply for this position, please visit the Job Opportunities section of our webpage and submit your resume, cover letter, and reel to: https://aiu.edu.kw/careers/jobs</div>

Full Professor/Associate/Assistant Professor of Multimedia (Relocation to Kuwait is Required)

<div>About UOWD 
Established in 1951 and ranked in the top 1% of universities worldwide*, Australia&rsquo;s University of Wollongong is a global brand with international campuses in Dubai, Hong Kong and Malaysia.
University of Wollongong Dubai (UOWD) offers over 40 internationally recognised bachelor and master degrees spanning 10 in-demand industry sectors. All of our degree courses are accredited by the UAE Ministry of Education&rsquo;s Commission for Academic Accreditation (CAA) and licensed by Dubai&rsquo;s Knowledge and Human Development Authority (KHDA), as well as being recognised by leading professional organisations such as AACSB, ACCA, ACS, CIM, CIPD, CPA, Engineers Australia, PMI, and others.
The first internationally accredited Australian university in the UAE, we are the education gateway of choice for over 3,500 students, representing 100+ nationalities. Our global community of 152,000 alumni are pursuing career goals with respected blue-chip companies and industry giants such as 3M, ADCB, Adidas, Amazon, Deloitte, Emirates, FedEx, GE, IBM, Microsoft and Pepsico. Additionally, research reveals that 83%** of fresh graduates are employed within six months of graduation.
Life at UOWD is rooted in the continued pursuit of excellence through teaching, research and industry engagement, with the student experience at its heart. Our 200,000-square-foot campus at Dubai Knowledge Park features access to cutting-edge technologies and a mix of traditional and innovative learning spaces, all housed in a vibrant modern setting that promises to deliver an enriched learning experience for our students.<ul><li>QS World University Rankings 2023</li></ul>
**Data from the Graduate Destination Survey 2017 to 2020
About the School 
The School of Computer Science at UOWD is a vibrant and growing academic unit offering undergraduate and postgraduate programs aligned with contemporary industry and research priorities. The School places strong emphasis on modern computing disciplines, applied research, and high‑quality teaching supported by industry engagement.
Driven by increasing student enrolments in Cybersecurity and Computer Science majors, and the recent launch of the Master of Applied Cybersecurity, the School is expanding its academic capacity to strengthen teaching, research output, and postgraduate supervision in this critical discipline.
Requirements &amp; Responsibilities 
UOWD invites applications for Assistant Professor and Associate Professor roles in Modern Cybersecurity. These are new appointments supporting program growth at both undergraduate and postgraduate levels.
The role is balanced across teaching and research, with a full teaching load and strong expectations for research productivity, postgraduate supervision, and contribution to the academic development of the School.
The successful candidates will play a key role in delivering core and specialist cybersecurity subjects, supervising Master's research, and contributing to UOWD's research profile in modern cybersecurity.
The appointees will teach across a range of undergraduate and postgraduate subjects, which may include:
Postgraduate / Specialisation Subjects<ul><li>
MACS901 - Advanced Network Security &amp; Threat Detection</li><li>
MACS902 - Modern Cryptography</li><li>
MACS903 - Secure Software Development &amp; Penetration Testing</li><li>
MACS904 - Cloud, IoT &amp; Emerging Technologies Security</li><li>
MACS905 - Cybersecurity Governance, Risk &amp; Compliance</li><li>
MACS906 - Cybersecurity Strategy &amp; Leadership</li><li>
MDT917 - Cyber Security Practitioner</li></ul>
Undergraduate / Core Subjects<ul><li>
CSIT302 - Cyber Security</li><li>
CSCI369 - Ethical Hacking</li><li>
CSCI368 - Network Security</li><li>
CSIT110 - Fundamental Programming with Python</li><li>
CSIT114 - System Analysis</li><li>
CSIT115 - Data Management &amp; Security</li><li>
CSIT121 - Object‑Oriented Design &amp; Programming</li><li>
CSCI251 - Advanced Programming</li><li>
CSCI235 - Database Systems</li><li>
CSIT314 - Software Development Methodologies</li></ul>
Teaching responsibilities include:<ul><li>
Undergraduate and postgraduate teaching</li><li>
Supervision of Master's dissertations and research projects</li><li>
Use of modern, interactive, and technology‑enabled teaching approaches</li></ul>
Research Expectations
The successful candidates will demonstrate a strong and sustained research profile, including:<ul><li>
A minimum of ten (10) peer‑reviewed journal publications in the last five years</li><li>
Publications indexed in Scopus and/or Web of Science</li><li>
Evidence of secured research funding and grant activity</li><li>
Engagement in interdisciplinary research collaboration</li><li>
Clear alignment of research agenda with modern cybersecurity themes</li></ul>
Qualifications &amp; Experience 
To qualify for the above role, candidate must have the following qualifications and experience<ul><li>
A PhD in Computer Science, with a doctoral thesis in Cybersecurity</li><li>
A Master's degree and Bachelor's degree in Computer Science</li><li>
At least 4 years of teaching experience at an internationally recognized institution</li><li>
Strong foundational knowledge in Computer Science</li><li>
Demonstrated expertise in modern cybersecurity tools, technologies, and practices</li><li>
Proven ability to teach large undergraduate and postgraduate classes</li><li>
Strong research track record in cybersecurity</li><li>
Fluency in the English language (both spoken and written)</li><li>
Excellent communication skills</li></ul>
Desirable Attributes<ul><li>
Prior teaching experience in the GCC or similar international contexts</li><li>
Industry experience in advanced cybersecurity systems or the IT/technology sector</li><li>
Ability to integrate practical, hands‑on cybersecurity tools into teaching and research</li></ul></div>

Assistant/Associate Prof CS - Cyber Security

Ericsson

<div>
 
 Join our Team
 
 
 
 
 About this opportunity:
 
 
 
 We are excited to announce the opportunity to join Ericsson as an Associate-CIO Office EMEA in Cloud Software and Services.This role is particularly suited for nterns or students who are about to graduate and are looking to transition into a full-time, permanent position. In this role, you will have the chance to further develop Ericsson&rsquo;s unique position by contributing to thought and technology leadership across key overarching themes such as AI, Autonomous Networks, Network programmability, etc. in addition to the contribution of the CSS strategy for EMEA, participating in research, building assets, contributing to value argumentation narratives, customer presentations etc.
 
 
 The role will work intensely with Service Lines, Strategy Execution Team under operations, Solution Areas, GF Technology etc.with close collaboration and guidance from senior colleagues, to continuously improve EMEA&rsquo;s capabilities to provide an answer to the most demanding customer challenges.
 
 
 
 What you will do:
 
 
 
 <ul>
 <li>
 Support and contribute to thought leadership themes in the scope of Artificial Intelligence (AI), Network Programmability, Autonomous Networks, Security, etc.
 </li>
 <li>
 Provide research outputs based on facts and data as an input for whitepapers and value argumentation positioning
 </li>
 <li>
 Build assets (presentations, whitepapers, etc.) to support thought leadership activities
 </li>
 <li>
 Create and maintain a knowledge base and repository of assets across thought leadership themes
 </li>
 <li>
 Participate in ephemeral squads driving strategic programs execution
 </li>
 <li>
 Support customer units, CIO, and SLs in customer presentations and workshops
 </li>
 <li>
 Monitors new technologies and emerging trends
 </li>
 <li>
 Support regulatory framework observatory activities across geographies
 
 
 </li>
 </ul>
 
 The skills you bring:
 
 
 
 <ul>
 <li>
 Good understanding of the new technologies ecosystem and landscape
 </li>
 <li>
 Customer-oriented mindset and ability to understand customer needs
 </li>
 <li>
 Strong curiosity, learning mindset and willingness to grow in a technology advisory environment
 </li>
 <li>
 Excellent written communication and presentation skills
 </li>
 <li>
 Proficiency in PowerPoint and Office suite
 </li>
 <li>
 Ericsson Portfolio knowledge would be a big plus
 
 
 </li>
 </ul>
 
 Why join Ericsson?
 
 
 
 At Ericsson, you&acute;ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what&acute;s possible. To build solutions never seen before to some of the world&rsquo;s toughest problems. You&acute;ll be challenged, but you won&rsquo;t be alone. You&acute;ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
 
 
 
 What happens once you apply?
 
 
 
 Click Here to find all you need to know about what our typical hiring process looks like.
 
 
 Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
 
 
 
 Primary country and city:
 
 United Arab Emirates (AE) || Dubai
 
 
 
 Req ID:
 
 777690
</div>

Associate Consultant (Fresh Grad role)

SLICIT

<div>
 Technology
 
 
 Dubai, UAE (Hybrid Work Model)
 
 
 Please note that, due to operational and logistical considerations, we do not currently accommodate relocation packages and foreign visas.
 
 
 Apply Now
 
 
 
 Role Summary
 
 
 
 SLICIT is on the forefront of integrating Web 3.0 technologies into the asset management and fintech sectors.
 
 
 We are seeking a Data Scientist with a pioneering spirit to harness vast datasets and apply analytical rigor in the realms of blockchain, tokenization, NFTs, and other Web 3.0 concepts.
 
 
 Your role will be instrumental in driving innovation through data-driven insights, particularly in optimizing asset management strategies, exploring fintech opportunities, and leveraging real-world assets through digital transformation.
 
 
 This position is tailor-made for someone who not only excels in technical and analytical capacities but also brings a wealth of business experience and industry knowledge in asset management, fintech, and the burgeoning field of digital assets.
 
 
 
 Reporting To
 
 
 
 Chief Technology Officer
 
 
 
 Employment Type
 
 
 
 Full-Time
 
 
 
 Essential Qualifications And Skills
 
 
 
 <ul>
 <li>
 Machine Learning and AI Expertise: The ideal candidate will possess a robust foundation in both theoretical and practical aspects of machine learning (ML) and artificial intelligence (AI), with a particular emphasis on applications within the financial sector. You should have hands-on experience designing, implementing, and validating a wide range of ML models, from traditional algorithms like Linear Regression, Decision Trees, and Clustering, to more advanced techniques including Neural Networks, Natural Language Processing (NLP), and Reinforcement Learning.
 </li>
 <li>
 Knowledge of Tools and Frameworks:
 </li>
 <li>
 Proficiency in using Python libraries such as Scikit-learn for machine learning model development and TensorFlow or PyTorch for deep learning applications.
 </li>
 <li>
 Experience with NLP tools like NLTK or spaCy to derive insights from textual data, which is particularly relevant in analyzing market sentiment or financial news.
 </li>
 <li>
 Familiarity with reinforcement learning frameworks such as OpenAI Gym, which can be applied to develop sophisticated trading algorithms that adapt and learn from the market&rsquo;s dynamics.
 </li>
 <li>
 A track record of employing AI-driven analytics to forecast market trends, optimize investment portfolios, or enhance customer personalization and engagement in fintech solutions.
 </li>
 <li>
 Demonstrated Impact: Evidence of past projects where your ML and AI expertise directly contributed to significant business outcomes, such as improved investment returns, risk reduction, operational efficiencies, or customer satisfaction enhancements. The ability to quantify the impact of your work (e.g., percentage increase in investment performance, reduction in risk exposure) will be highly valued.
 </li>
 <li>
 Programming and Data Manipulation Proficiency: Adeptness in programming and data manipulation, critical for analysing complex datasets and developing scalable solutions.
 </li>
 <li>
 Core Programming Languages: Proficiency in Python is essential, given its widespread use in data science for everything from data manipulation with Pandas to complex machine learning with libraries like TensorFlow and scikit-learn. Expertise in R is also valuable, particularly for statistical analysis and visualization. Knowledge of SQL is crucial for querying databases and manipulating data stored in SQL databases.
 </li>
 <li>
 Data Manipulation Tools and Techniques: Candidates should demonstrate expertise in handling large datasets, employing techniques and tools for data cleaning, transformation, and aggregation. Experience with Python libraries such as NumPy and Pandas, or R packages like dplyr and tidyr, is expected.
 </li>
 <li>
 Version Control and Collaboration: Familiarity with version control systems, notably Git, is necessary for efficient collaboration within a team. This includes managing code repositories, branching, merging, and handling pull requests in platforms like GitHub or GitLab.
 </li>
 <li>
 Advanced Analytical and Statistical Skills: Expertise in statistical analysis, predictive modeling, and data mining, with a proven track record of leveraging these skills to drive business decisions.
 </li>
 <li>
 Education: A Master&rsquo;s or PhD in Data Science, Computer Science, Mathematics, Statistics, or related field, with ideally coursework or projects focused on finance, blockchain, or digital assets.
 
 
 </li>
 </ul>
 
 Nice-to-Have Skills
 
 
 
 <ul>
 <li>
 Programming and Data Manipulation Proficiency in Scala or Java would be a plus, tailored towards data science applications in finance and asset management.
 </li>
 <li>
 Big Data Technologies: Familiarity with big data frameworks and cloud computing environments, enhancing data processing and analysis capabilities.
 </li>
 <li>
 Deep Learning Proficiency: Knowledge of deep learning applications in finance, such as predictive analytics for market trends or customer behaviour analysis.
 </li>
 <li>
 Data Visualisation Skills: Competence in using tools like Tableau or Power BI for creating intuitive data visualisations that convey complex information to stakeholders.
 </li>
 <li>
 Business Experience and Industry Knowledge: Some experience in asset management, fintech, or related sectors, with a keen understanding of market dynamics, regulatory environments, and the potential of digital transformation through Web 3.0 technologies.
 </li>
 <li>
 Blockchain and Web 3.0 Technologies: Deep understanding of blockchain fundamentals, smart contracts, tokenization of assets, NFTs, and their implications for asset management and fintech is a big advantage. Experience with platforms such as Ethereum, Hedera Hashgraph, and Polygon. In particular:
 </li>
 <li>
 Fundamental Blockchain Concepts: Candidates should have a solid grasp of key blockchain principles, including decentralized ledgers, consensus mechanisms, smart contracts, and cryptographic protocols. This knowledge is vital for analysing blockchain data and understanding the underlying technology of digital assets and transactions.
 </li>
 <li>
 Blockchain Platforms and Tools: Experience with major blockchain platforms such as Ethereum, for smart contract development, and ideally familiarity with newer platforms like Hedera Hashgraph, Polygon or Polymesh.
 </li>
 <li>
 Smart Contracts and DApps Development: While primarily a data-focused role, understanding the development and deployment of smart contracts and decentralized applications (DApps) can provide valuable insights into data sources and potential applications of blockchain in asset management and fintech. Knowledge of Solidity (for Ethereum) or other smart contract languages is a plus.
 </li>
 <li>
 Blockchain in Finance: Specific experience in applying blockchain technology to solve problems in finance, such as through tokenization of assets, implementation of NFTs for unique asset representation, or enhancing the security and efficiency of transactions.
 </li>
 <li>
 Industry Certifications: Certifications related to blockchain technology, data science, or finance, showcasing a commitment to ongoing professional development.
 
 
 </li>
 </ul>
 
 Remuneration Benefits
 
 
 
 <ul>
 <li>
 Competitive Salary: Reflective of the expertise and strategic importance you bring to the team.
 </li>
 <li>
 Comprehensive Benefits Package: Premium health insurance, retirement planning options, and generous vacation policies.
 </li>
 <li>
 Professional Development: Commitment to your growth through conferences, workshops, and certifications in emerging technologies and financial analysis.
 </li>
 <li>
 Innovative Work Culture: Be part of a dynamic team pushing the boundaries of technology in asset management and fintech.
 
 
 </li>
 </ul>
 
 How To Apply
 
 
 
 Are you excited by the challenge of transforming the asset management and fintech landscapes through Web 3.0 technologies? If you have a solid foundation in data science, your next career milestone awaits with us.
 
 
 Interested candidates should submit their resume, a comprehensive cover letter detailing your relevant experience, along with any notable projects, , and why you&rsquo;re a fit for SLICIT, to careers@slicit.com with the subject line &ldquo;Data Scientist Application&rdquo;.
 
 
 Apply Now
</div>

Data Scientist

CRYPTO.com

<div><div>Our Product Management team drives product initiatives from inception through execution, makes impacts and launches products/features across our global footprint. We collaborate closely with engineers, designers, analysts, marketers, and other cross-functional team members to ship remarkable features and products.</div>
<h3 class="jobSectionHeader">What You Will Own:</h3><ul><li>Ship AI-powered features to production: conversational AI (chatbots, copilots), intelligent onboarding, smart trading assistants, automated compliance workflows</li><li>Lead cross-functional squads of ML engineers, data scientists, designers, and backend engineers to deliver AI products end-to-end</li><li>Evaluate and integrate LLM/GenAI capabilities (GPT, Claude, open-source models) into product experiences &mdash; balancing innovation speed with safety and compliance</li><li>Build the internal AI enablement playbook: drive adoption of AI tools across product, engineering, and operations teams</li><li>Define success metrics for AI features (engagement lift, cost reduction, resolution rate, NPS) and run rigorous A/B tests</li><li>Manage vendor relationships for AI/ML infrastructure, annotation, and model providers</li><li>Report to senior leadership on AI transformation progress, ROI, and strategic direction</li></ul><h3 class="jobSectionHeader">
What We Are Looking For:</h3><ul><li>10+ years in product management, with 3+ years leading AI/ML product initiatives in production</li><li>Proven track record of shipping AI products at scale &mdash; chatbots, recommendation systems, NLP features, intelligent automation, or AI agents that served real users</li><li>Deep understanding of LLMs, prompt engineering, RAG architectures, fine-tuning, and evaluation frameworks &mdash; you can hold your own in technical discussions with ML engineers</li><li>Experience with conversational AI platforms (e.g. Dialogflow, Rasa, custom LLM-based agents) and measuring their effectiveness</li><li>Demonstrated ability to translate ambiguous AI opportunities into concrete product specs, build-vs-buy decisions, and phased rollout plans</li><li>Strong data intuition &mdash; comfortable with SQL, analytics dashboards, and experiment design</li><li>Experience in fintech, crypto, or high-compliance environments is a strong plus</li><li>Ability to influence and align senior stakeholders (C-suite, engineering leads, compliance) on AI adoption strategy</li><li>Bachelor's degree in CS, Engineering, or related field; advanced degree in AI/ML is a plus but not required &mdash; shipped products matter more than credentials</li></ul><div>
Life @ Crypto.com</div><div>
</div><div>
Empowered to think big. Try new opportunities while working with a talented, ambitious and supportive team.</div><div>
Transformational and proactive working environment. Elevate employees to find thoughtful and innovative solutions.</div><div>
Growth from within. We help to develop new skill-sets that would impact the shaping of your personal and professional growth.</div><div>
Work Culture. Our colleagues are some of the best in the industry; we are all here to help and support one another.</div><div>
One cohesive team. Engage stakeholders to achieve our ultimate goal - Cryptocurrency in every wallet.</div><div></div><div> 
</div><div>
Are you ready to kickstart your future with us?</div><div>
</div><div>
Benefits</div><div>
</div><div>
Competitive salary</div><div>
Medical insurance package with extended coverage to dependents</div><div>
Attractive annual leave entitlement including: birthday, work anniversary</div><div>
Work Flexibility Adoption. Flexi-work hour and hybrid or remote set-up</div><div>
Aspire career alternatives through us. Our internal mobility program can offer employees a diverse scope.
</div><div>Work Perks: crypto.com visa card provided upon joining</div><div>
</div><div>
Our Crypto.com benefits packages vary depending on region requirements, you can learn more from our talent acquisition team.</div><div>
</div><div>
About Crypto.com:</div><div>
</div><div>
Founded in 2016, Crypto.com serves more than 80 million customers and is the world's fastest growing global cryptocurrency platform. Our vision is simple: Cryptocurrency in Every Wallet&trade;. Built on a foundation of security, privacy, and compliance, Crypto.com is committed to accelerating the adoption of cryptocurrency through innovation and empowering the next generation of builders, creators, and entrepreneurs to develop a fairer and more equitable digital ecosystem.</div><div>
</div><div>
Learn more at https://crypto.com.</div><div>
</div><div>
Crypto.com is an equal opportunities employer and we are committed to creating an environment where opportunities are presented to everyone in a fair and transparent way. Crypto.com values diversity and inclusion, seeking candidates with a variety of backgrounds, perspectives, and skills that complement and strengthen our team.</div><div>
</div><div>
Personal data provided by applicants will be used for recruitment purposes only.</div><div>
</div><div>
Please note that only shortlisted candidates will be contacted.</div>

We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us.</div>

Senior Product Manager, AI Transformation

Verition Group LLC

<div><div>Verition Fund Management LLC (&ldquo;Verition&rdquo;) is a multi-strategy, multi-manager hedge fund founded in 2008 with 14B+ in AUM. This role would be specifically in the Quant Strategies Group.

As a quant researcher on one of our world class quant trading teams, you&rsquo;d responsible for developing and implementing complex models and algorithms that inform on investment strategies, risk management, and financial decision-making. This role requires a blend of statistical analysis, algorithm development, and deep understanding of financial markets.

Responsibilities:
<ul>
<li>Develop and implement models and strategies focused on alpha generation across various asset classes. Use statistical and machine learning techniques to identify market inefficiencies.</li>
<li>Perform complex data analysis to uncover patterns and predictive signals in market data. Create robust financial models for forecasting and risk assessment.</li>
<li>Quantitative Research: Conduct research to understand market dynamics and investor behavior. Apply quantitative methods to develop strategies that capitalize on market anomalies and trends.</li>
<li>Design algorithms for efficient trade execution and portfolio optimization, ensuring they align with alpha-generation goals.</li>
<li>Work closely with portfolio managers and traders, providing them with actionable insights and recommendations for alpha-generating strategies.</li>
<li>Continuously monitor and analyze the performance of deployed strategies. Refine and adjust approaches based on market feedback and performance data.</li>
<li>Effectively communicate complex quantitative strategies and findings to stakeholders, including non-technical audiences, to inform decision-making processes.</li>
</ul>
Qualifications:
<ul>
<li>Degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.</li>
<li>Solid experience in quantitative analysis with a proven track record in alpha generation.</li>
<li>Strong skills in Python, R, MATLAB, or similar tools for complex data analysis and model development.</li>
<li>Exceptional skills in statistical analysis and modeling, with a focus on predictive analytics and pattern recognition.</li>
<li>Ability to think creatively to identify new opportunities for alpha generation.</li>
<li>Excellent verbal and written communication skills for effective collaboration and presentation of findings.</li>
<li>Experience with machine learning, AI, and big data analytics in finance is a plus</li>
</ul></div><div><div>
Salary Range
$100,000 - $200,000 USD</div></div></div>

Quantitative Research Analyst

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