AI Implementation Intern (Jan 2027 Intake)
20 days
2,800+ Aml Jobs - November 2026 - Urgent Hiring - Page 71
Showing 2,823 jobs results for
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- Communicate with stakeholders to understand challenges and designing data-driven and business-centric solutions.
20 days
20 days
Robotics Engineer: Foundation Model Training
- Formulate research hypotheses and design rigorous experiments informed by deployment needs.
20 days
Lead AI Engineer – AI - Data (Banking Industry)
- Drive strategic planning, governance, and stakeholder management by developing and implementing a roadmap for AI and GenAI initiatives, establishing governance frameworks and policies, monitoring compliance, and engaging with business leaders, IT teams, and other stakeholders to promote the benefits of AI technologies.
20 days
Data Annotator | $10-hr Remote
- Review short video and audio clips, scrutinizing both visual and auditory elements for detailed annotation and assessment.
11 days
27 days
Money Changer Teller
- Build practical cash management experience that strengthens your finance foundation and employability.
9 days
Senior AI Harness Engineer
- The Senior AI Harness Engineer joins the organisation’s AI development team to define and build the foundational engineering capabilities supporting AI models and agents at enterprise scale. This role is essential for enabling AI systems to operate securely, reliably, and efficiently across various domains within the organisation.
27 days
Senior AI Engineer
- Design, build and operate production-grade GenAI systems in Python: agents and tool use (MCP, function calling), RAG backends, document parsing pipelines, APIs and containerised services on Azure.
27 days
Artificial Intelligence Engineer
- Collaborating with business users to understand their key priorities and use cases
27 days
- Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
27 days
- Design and build LLM-powered AI agents and multi-agent workflows using tool calling, planning, memory, and other agentic capabilities.
21 days
- Partner with APAC brokers, desk heads and business managers to identify high-value productivity, automation and workflow improvement opportunities.
27 days
- Own the AI-Ready Data & Harness Engineering strategy, technical roadmap and capability architecture for Singtel SG, aligned to the AIDA 2.0 stack and Chief AIDA Officer agenda.
12 days
- Translate moderation policies and business requirements into structured, machine-executable rules and
27 days
AI Implementation Intern (Jan 2027 Intake)
- Assist in evaluating and implementing AI tools and platforms across various business functions.
21 days
AI Implementation Intern (Jan 2027 Intake)
- Assist in evaluating and implementing AI tools and platforms across various business functions.
21 days
13 days
- Design, develop, and deploy AI-enabled applications and automation solutions for network operations and infrastructure management.
21 days
- Build agents and multi-step automations that replace manual work across finance, marketing, business development and web.
28 days
AI Scientist - Generative AI Models for the Creation of RNA-Based Drugs (GIS)
- Project backgroundMessenger RNA (mRNA)-based therapeutics, including vaccines, represent a transformative class of drugs for infectious diseases and cancer immunotherapy. Their programmable nature allows rapid adaptation to evolving pathogens and personalized medicine, but effective design of mRNA molecules remains a key bottleneck. Current development relies on trial-and-error methods, leading to long timelines, high costs, and suboptimal outcomes.This project aims to develop an agent-based generative AI system to design both linear and circular mRNA molecules. By unifying the design process into a data-driven, adaptive pipeline, the system will optimize vaccine stability, minimize unwanted immune responses, and accelerate early-stage research and development from months to hours. The outcome will be a robust, scalable platform for creating effective mRNA vaccines for infectious diseases, cancer, and beyond.
28 days
- Support in building and improving an evaluation algorithm that learns from past human decisions to assess the quality of new AI suggestions and identify when human review is required.
22 days
- Educational Background & Technical Foundations Pursuing a degree in Computer Science, Data Science, Engineering, or a related field Strong fundamentals in programming (preferably Python) and SQL Basic understanding of data structures, algorithms, and software engineering principles 2. Data & AI Knowledge Familiarity with data processing concepts (ETL/ELT, data modeling, data cleaning) Exposure to machine learning fundamentals (e.g., supervised/unsupervised learning, model evaluation) Experience with common data/ML libraries (e.g., Pandas, NumPy, scikit-learn) is a plus 3. Tools & Platform Exposure Exposure to cloud platforms (e.g., AWS, Azure, or GCP) and modern data ecosystems is advantageous Familiarity with databases (SQL/NoSQL) and data warehousing concepts (e.g., Snowflake, BigQuery, Databricks) 4. Problem-Solving & Mindset Strong analytical thinking and problem-solving skills Ability to break down complex problems into structured solutions Eagerness to learn and adapt in a fast-paced, technology-driven environment 5. Communication & Collaboration Good communication skills, with the ability to explain technical concepts clearly Team player with a proactive and ownership-driven attitude Ability to work with cross-functional teams (analytics, business stakeholders)
14 days
28 days
Machine Learning (- IoT) Intern
- Develop, test and evaluate machine learning models using real world datasets
28 days
- For large-model training and evaluation scenarios, participate in formulating and continuously iterating data quality standards, judgment rules, and acceptance criteria.
14 days
- Build and optimize cross-scenario shared Foundation Models to enable unified modeling and efficient inference.
14 days
AI Architect (Group IT)
- Define enterprise AI reference architectures, AI platform standards, reusable solution patterns, and technical roadmaps aligned to FEO’s AI strategy, enterprise architecture, cybersecurity, data governance, and business priorities.
28 days
AI Inference Acceleration Algorithm Expert
- Lead the research and development of AI training and inference acceleration algorithms for Agentic AI and Multimodal domains, specifically optimized for next-generation AI compute architectures to maximize compute efficiency and utilization.
15 days
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