Resident Technical Officer (M-E)
- Perform all roles and responsibilities required of site supervisors under BCA
26 days
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Resident Technical Officer (M-E)
- Perform all roles and responsibilities required of site supervisors under BCA
26 days
- Perform research to advance agentic AI and its application to large-scale recommender systems
12 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)
20 days
Foundation Model Pre-training Scientist
- Lead Foundation Model / LLM architecture and technology roadmap
12 days
Electrical Engineer - M-E Services @Central
- Execution of Contracts & Installation progress
12 days
- For large-model training and evaluation scenarios, participate in formulating and continuously iterating data quality standards, judgment rules, and acceptance criteria.
20 days
- Handle incoming support tickets and inquiries from customers via email, chat, and ticketing systems
26 days
BIM Modeller (M-E)
- Develop detailed M&E drawings, layouts and BIM models using Revit and AutoCAD in accordance with project requirements and specifications.
26 days
AI Engineer Intern
- Research and develop existing computer vision algorithms and incorporate novel techniques or create new algorithms from ground up to solve desired use cases
26 days
26 days
- Build and optimize cross-scenario shared Foundation Models to enable unified modeling and efficient inference.
20 days
- Build AI-Powered Engineering Platforms: Design and develop internal developer platforms, including AI gateways, agent orchestration frameworks, retrieval systems, and reusable engineering services that enable product teams to safely and effectively leverage AI.
26 days
- Build assistive animation tooling, drawing on motion synthesis, motion matching/blending, retargeting, and physics-based character control, to remove mechanical steps from the animator’s workflow.
26 days
- design, build, and operate cloud infrastructure and backend services that reliably serve ML inference workloads at scale
26 days
- Engage with the business team to understand their use cases and requirements.
26 days
QA-QC Engineer (M-E)
- Develop, implement, and maintain QA/QC procedures, Inspection and Test Plans (ITPs), method statements, and quality checklists for M&E works.
26 days
AI Builder Intern
- Lead the discovery, development, and implementation of innovative AI and digital solutions across the lifecycle of the digital insurance journey.
26 days
AI Implementation Intern (Jan 2027 Intake)
26 days
- Communicate with stakeholders to understand challenges and designing data-driven and business-centric solutions.
26 days
Site Supervisor (M-E)
- Supervise and coordinate all activities that are carried out at the construction site.
26 days
INTERFACING MANAGER
26 days
26 days
Robotics Engineer: Foundation Model Training
- Formulate research hypotheses and design rigorous experiments informed by deployment needs.
26 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.
26 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.
21 days
- At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.
13 days
BIM Modeller (M-E)
- Develop detailed M&E drawings, layouts and BIM models using Revit and AutoCAD in accordance with project requirements and specifications.
27 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)
21 days
Research Scientist, AI
- Drive AI innovation in the area of Urban Solutions and Sustainability, particularly in the Sustainable HVACs domain, focusing on AI-enabled features for enhanced user comfort, wellbeing, and indoor air quality.
14 days