1,834 AI Specialists jobs in Singapore

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

This is an exciting opportunity for an AI Engineer to be at the forefront of AI innovation. You will design, build, and optimize real-time autonomous AI agents for immersive 3D game environments. This role involves a unique blend of cutting-edge research in computer vision, large language models (LLMs), and real-time action systems.

This position is pivotal in bridging state-of-the-art research with practical deployment, directly supporting AISG's mission to advance applied AI through impactful research and scalable product development. You will contribute to strengthening collaborations between AISG's applied research teams and our industry partners.

Duties and Responsibilities

• Architect, implement, and refine modular AI pipelines that support agent perception, planning, and action within real-time 3D environments.
• Develop and optimize real-time perception systems leveraging advanced computer vision models.
• Create and experiment with novel vision-language-action models for autonomous gameplay, drawing inspiration from robotics.
• Conduct research into multi-agent systems and cooperative/competitive behaviors within simulated environments.
• Integrate AI models into leading game engines (e.g., Unity, Unreal Engine) for interactive training, evaluation, and deployment.
• Design innovative reward functions and robust evaluation metrics for reinforcement learning agents.
• Curate and maintain high-quality datasets for supervised and self-supervised learning paradigms.
• Build and scale cloud-ready inference pipelines utilizing containerization (Docker, Kubernetes) and MLOps best practices.
• Perform rigorous latency optimization and benchmarking to ensure real-time system performance.
• Mentor junior team members and foster a collaborative development environment through constructive code reviews.
• Communicate research findings and project progress effectively through demos, internal presentations, and contributions to external academic forums where appropriate.
• Actively participate in cross-functional planning, project retrospectives, and knowledge-sharing initiatives

Qualifications

• A Master's or PhD degree in Computer Science, Artificial Intelligence, Robotics, or a closely related field.
• Strong programming proficiency in Python and C++.
• Demonstrable experience with machine learning frameworks (e.g., PyTorch, TensorFlow).
• Hands-on experience with simulation environments such as Unity ML-Agents, NVIDIA Isaac Sim, Mujoco, or similar.
• Solid expertise in computer vision techniques, transformer architectures, and multi-modal learning.
• Familiarity with reinforcement learning (RL) principles, curriculum learning strategies, and the challenges of real-time systems.
• Working knowledge of distributed systems and container technologies (e.g., Docker, Kubernetes).
• Excellent communication and collaboration skills, with an ability to articulate complex technical concepts to diverse audiences.
• A genuine passion for developing AI agents for 3D environments (e.g., gaming, simulation) and a strong alignment with AISG's mission.

More Information

Location: Kent Ridge Campus

Organization: Office of the Deputy President(Res&Tech)

Department : AI Singapore

Employee Referral Eligible: No

Job requisition ID : 29209

*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 building a team of AI Engineers 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 .

Senior Solution Architect - AI Development
Get AI-powered advice on this job and more exclusive features.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
What You’ll Be Doing
Drive the implementation and deployment of NVIDIA Inference Microservice (NIM) solutions
Apply NVIDIA NIM Factory Pipeline to package optimized models (including LLM, VLM, Retriever, CV, OCR, etc.) into containers, providing standardized API access for on-prem or cloud deployment
Refine NIM tools for the community, aiding them in building high-performing NIMs
Build and implement agentic AI tailored to customer business scenarios using NIMs
Deliver technical projects, demos, and client support tasks as directed by the Solution Architecture Leadership
Provide technical support and mentorship to customers, facilitating the adoption and implementation of NVIDIA technologies and products
Collaborate with multi-functional teams to develop and broaden our AI solutions portfolio
Be an internal advocate for NVIDIA software and total solutions within the technical community
Position yourself as an inspiring leader in the industry by incorporating NVIDIA technology, especially inference services, into LHA, business partners, and the broader community and Assist in supporting the NVAIE team and driving NVAIE business in China
What We Need To See
7+ years of experience.
Bachelor's or equivalent experience in Computer Science, Artificial Intelligence, or a relevant field.
Proven experience in deploying and optimizing large language models. Proficiency in at least one inference framework (e.g., TensorRT, ONNX Runtime, PyTorch)
Strong programming skills in Python or C++. Familiarity with mainstream inference engines (e.g., vLLM, SGLang)
Experience with DevOps/MLOps, including Docker, Git, and CI/CD practices
Excellent problem-solving skills and the ability to solve complex technical issues
Proven ability to collaborate effectively across diverse, global teams, adapting communication styles while maintaining clear, constructive professional interactions
Experience in architectural build for field LLM project. Expertise in model optimization techniques, particularly using TensorRT
Knowledge of AI workflow development and implementation, and experience with cluster resource management tools. Familiarity with agile development methodologies
CUDA optimization experience and extensive experience in crafting and deploying large-scale HPC and enterprise computing systems
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The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore
Job Description
AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).
The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.
This is an exciting opportunity for an AI Engineer to be at the forefront of AI innovation. You will design, build, and optimize real-time autonomous AI agents for immersive 3D game environments. This role involves a unique blend of cutting-edge research in computer vision, large language models (LLMs), and real-time action systems.
This position is pivotal in bridging state-of-the-art research with practical deployment, directly supporting AISG's mission to advance applied AI through impactful research and scalable product development. You will contribute to strengthening collaborations between AISG's applied research teams and our industry partners.
Duties and Responsibilities
Architect, implement, and refine modular AI pipelines that support agent perception, planning, and action within real-time 3D environments.
Develop and optimize real-time perception systems leveraging advanced computer vision models.
Create and experiment with novel vision-language-action models for autonomous gameplay, drawing inspiration from robotics.
Conduct research into multi-agent systems and cooperative/competitive behaviors within simulated environments.
Integrate AI models into leading game engines (e.g., Unity, Unreal Engine) for interactive training, evaluation, and deployment.
Design innovative reward functions and robust evaluation metrics for reinforcement learning agents.
Curate and maintain high-quality datasets for supervised and self-supervised learning paradigms.
Build and scale cloud-ready inference pipelines utilizing containerization (Docker, Kubernetes) and MLOps best practices.
Perform rigorous latency optimization and benchmarking to ensure real-time system performance.
Mentor junior team members and foster a collaborative development environment through constructive code reviews.
Communicate research findings and project progress effectively through demos, internal presentations, and contributions to external academic forums where appropriate.
Actively participate in cross-functional planning, project retrospectives, and knowledge-sharing initiatives
Qualifications
A Master's or PhD degree in Computer Science, Artificial Intelligence, Robotics, or a closely related field.
Strong programming proficiency in Python and C++.
Demonstrable experience with machine learning frameworks (e.g., PyTorch, TensorFlow).
Hands-on experience with simulation environments such as Unity ML-Agents, NVIDIA Isaac Sim, Mujoco, or similar.
Solid expertise in computer vision techniques, transformer architectures, and multi-modal learning.
Familiarity with reinforcement learning (RL) principles, curriculum learning strategies, and the challenges of real-time systems.
Working knowledge of distributed systems and container technologies (e.g., Docker, Kubernetes).
Excellent communication and collaboration skills, with an ability to articulate complex technical concepts to diverse audiences.
A genuine passion for developing AI agents for 3D environments (e.g., gaming, simulation) and a strong alignment with AISG's mission.
More Information
Location: Kent Ridge Campus
Organization: Office of the Deputy President(Res&Tech)
Department : AI Singapore
Employee Referral Eligible: No
Job requisition ID : 29209
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The student, as part of the AI Engineering team at Center of Competence Analytics will work to support Digital Customer Engagement project and AI Platform Evaluation including NLP, LLM, RAG and Software Engineering.

Job Description

In your new role you will:

• Work as a intern with knowledge in Traditional AIML, Deep Learning, NLP, LLM RAG, Chatbot, LLM Inference and other AI areas
• Utilizing statistical analysis, machine learning, and data visualization techniques to extract insights from large datasets
• Transforming prototypes into production solutions with best practices for both development and deployment
• Developing and maintaining software applications and systems that incorporate AI and machine learning components
• Focus on AI Solution scalability, efficiency, and real-time processing, while maintaining the integrity of the underlying data science principles

Internship Learning Outcomes :

• Industry work experience, access to different points of view and widened
• Overview of semiconductor industry through orientation of Infineon and self exploration
• Exposure to GenAI, CV, NLP and to actual industry applications
• Gain understanding of Analytics platforms/tools and ability to write production ready analytic scripts

Your Profile

You are best equipped for this task if you have:

• On track to attaining with Bachelors or Masters degree in computer engineering, data science, Artificial Intelligence and Machine Learning or equivalent
• Strong understanding, conceptualizing and hands-on experience in Software development, Deep Learning, Computer Vision and GenAI/RAG
• Experience in software development cycles and excellent programming skill with scripting languages & frameworks e.g. Python, TensorFlow, PyTorch, Sklearn.
  Familiar with micro services e.g. OpenShift and Web Application development - Experience in RDBMS (i.e. Oracle/ SQL) & in NoSQL Databases such as ELK are optional

#WeAreIn for driving decarbonization and digitalization.

As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.

Are you in?

We are on a journey to create the best Infineon for everyone.

This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels.

Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.

Click here for more information about Diversity & Inclusion at Infineon.

Job ID: 20037

Location:
Elect – 100 Jurong East Street, SG

Description:

The Company - ST Engineering Group Engineering Center

At ST Engineering, we apply our technology and innovation to solve real-world problems and improve lives. Our dedication to excellence and our strong track record have earned us a distinctive reputation for quality and trust as a global technology, defence and engineering group. Our diverse portfolio of businesses spans the aerospace, smart city, digital solutions, defence and public security segments. As the Group Engineering Center, we aim to transform the use of technology across all of ST Engineering businesses and push the boundaries of what is possible in the realm of AI to create transformative solutions that impact industries worldwide.

Job Brief (Full-Time)

We are seeking a passionate and forward-thinking AI Engineer to join our innovation team. In this role, you will work directly with internal stakeholders and customers to understand complex business challenges and rapidly prototype AI-driven solutions using Large Language Models (LLMs) and Generative AI. Your work will influence the development of scalable AI products across diverse industries and use cases.

This role is ideal for someone who thrives in a fast-paced, exploratory environment and enjoys building early-stage solutions from scratch. The ideal candidate will be proficient in leveraging large language models (LLMs), natural language processing (NLP), and be familiar with agentic AI and workflows. You will collaborate with cross-functional teams of engineers, researchers, and product managers to design, develop, and deploy innovative solutions. Your technical expertise will be crucial in experimenting, iterating, and building prototypes of AI systems that demonstrate business value.

Responsibilities

• Collaborate with product managers, business analysts, and domain experts to understand customer problem statements and translate them into AI solution opportunities.
• Rapidly prototype AI applications using LLMs and generative AI technologies (e.g., GPT, Claude, Mistral, or open-source equivalents) with strong hands-on coding abilities.
• Develop and fine-tune prompt workflows, RAG (Retrieval-Augmented Generation) pipelines, and multi-agent setups to solve customer-specific challenges.
• Evaluate and test different LLM-based tools or architectures to identify optimal approaches for varied use cases.
• Document design decisions, experiment results, and prototypes for internal knowledge sharing with production teams.
• Stay up to date with the latest developments in generative AI, LLMs, and open-source frameworks; proactively share insights and recommend improvements

Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
• Strong understanding of Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) such as GPT-4, Llama, Mistral or similar.
• High proficiency in prompt engineering with agentic AI concepts and workflow implementation.
• Experience in prototyping with modern AI/LLM frameworks (e.g., LangChain, LlamaIndex, Hugging Face Transformers, OpenAI APIs).
• Proficiency in Python and familiarity with vector databases (e.g., FAISS, Chroma, Weaviate) and cloud environments.
• Creative problem-solving mindset with an ability to navigate ambiguous requirements.
• Effective communication skills to interact with both technical and non-technical stakeholders.
• Proven track record of successfully delivering complex AI projects from concept to production.

Preferred

• 3+ years of industry experience in AI/ML, with direct involvement in building LLM-based solutions.
• Experience with tools like Streamlit, Gradio, or similar platforms to quickly create AI-powered demos.
• Bonus if experienced with deploying models in production-like environments. E.g. Cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Understanding of microservices architecture and RESTful API design.
• Ability to implement monitoring, logging, and alerting systems to ensure the health and performance of AI services.

Open to candidates with no experience

• Exceptional candidates with strong academic projects, internships, open-source contributions, or demonstrable personal projects in LLMs or generative AI are encouraged to apply.

What we offer

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge generative AI projects that directly impact business innovation.
• Join a young and dynamic team with forward-looking working culture that fosters innovation, collaboration, and personal growth.
• Access to cutting-edge technology resources, opportunities for continuous learning and skill development.

Apply now if you are excited to use Generative AI to bring ideas to life and shape the future of intelligent solutions

Position Overview
FirstCom Academy is seeking Adjunct Trainers with practical experience in AI-powered content creation to teach our Prompt Engineering and AI Visual Generation courses. We are looking for two types of trainers:
Prompt Engineering Specialist
– with deep expertise in crafting prompts for tools like ChatGPT, DALL·E, Midjourney, and other generative AI systems.
AI Visual Trainer with Photography Background
– who can combine AI tools proficiency with photographic principles (e.g. lighting, angles, composition) to guide learners in creating visually compelling outputs using AI image generation platforms.
Key Responsibilities
Training Delivery
Conduct hands-on training sessions on topics such as:
Prompt structuring for text and image generation
AI image creation using tools like Midjourney, DALL·E, Leonardo AI, and others
Prompt refinement techniques for tone, accuracy, style, and visual control
AI ethics, copyright, and responsible content creation
For photography-focused trainers: teaching composition, lighting, framing, and how these principles apply to AI-generated visuals
Facilitate real-world exercises that encourage creative experimentation and precision.
Explain both the
technical
and
creative
considerations behind effective content generation.
Support learners in applying prompts to business, marketing, and storytelling use cases.
Assessment Integrity
Uphold high standards of assessment quality and fairness.
Ensure all assessment responses are complete and evaluated accurately.
Conduct oral recovery sessions professionally and document them clearly.
Administrative Responsibilities
Complete Assessment Summary Records (ASRs) and required documentation promptly.
Maintain attendance, assessment, and learner performance records accurately.
Provide feedback to help keep course materials up to date and relevant.
Learner Support and Engagement
Provide clear, constructive feedback on learner progress.
Create a safe, inclusive classroom environment that promotes proactive security thinking.
Support learners in developing confidence in digital incident handling.
Compliance and Reporting
Comply with all WSQ and FirstCom Academy standards and regulations.
Report any issues related to assessment integrity or compliance.
Stay updated with evolving cybersecurity trends, tools, and incident response frameworks.
Collaboration and Teamwork
Collaborate with curriculum team to continuously enhance the course.
Share feedback and best practices with peers and operational teams.
Requirements
Mandatory
ACTA or ACLP certification
Experience with AI content tools like ChatGPT, Midjourney, DALL·E, or similar
Strong understanding of how to structure and optimize prompts for different output goals
Ability to translate complex AI concepts into simple, actionable techniques
1. Prompt Engineering Specialist
Ideal for those with deep technical knowledge of LLMs, generative AI, and productivity workflows
Additional Requirements:
Strong grasp of prompt templates, modifiers, and context tuning
Familiar with generative AI use cases in marketing, writing, design, and automation
Able to explain differences across platforms (e.g. GPT-4 vs Claude vs Gemini)
Bonus: Experience with API-based prompt deployment or LangChain / AI workflow automation tools
2. AI Visual Trainer with Photography Background
Ideal for photographers or creatives who now use AI tools to produce commercial-grade images
Additional Requirements:
Background in photography, visual design, or film
Strong understanding of lighting, angles, color theory, and composition
Able to explain how visual principles influence AI-generated results
Experience using image-generation platforms (e.g., Midjourney, DALL·E, Leonardo AI)
Bonus: Familiarity with CapCut, Canva, or Adobe tools for post-processing
Personal Attributes
Passionate about the intersection of AI, creativity, and education
Adaptable, forward-thinking, and enthusiastic about emerging technology
Patient and supportive educator who thrives on helping others master new tools
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Overview
Title:
AI Engineer, Artificial Intelligence, GEC
Job ID:
20037
Location:
Elect – 100 Jurong East Street, SG
The Company - ST Engineering Group Engineering Center
At ST Engineering, we apply our technology and innovation to solve real-world problems and improve lives. Our dedication to excellence and our strong track record have earned us a distinctive reputation for quality and trust as a global technology, defence and engineering group. Our diverse portfolio of businesses spans the aerospace, smart city, digital solutions, defence and public security segments. As the Group Engineering Center, we aim to transform the use of technology across all of ST Engineering businesses and push the boundaries of what is possible in the realm of AI to create transformative solutions that impact industries worldwide.
Job Brief (Full-Time)
We are seeking a passionate and forward-thinking
AI Engineer
to join our innovation team. In this role, you will work directly with internal stakeholders and customers to understand complex business challenges and rapidly prototype AI-driven solutions using
Large Language Models (LLMs)
and
Generative AI . Your work will influence the development of scalable AI products across diverse industries and use cases.
This role is ideal for someone who thrives in a fast-paced, exploratory environment and enjoys building early-stage solutions from scratch. The ideal candidate will be proficient in leveraging large language models (LLMs), natural language processing (NLP), and be familiar with agentic AI and workflows. You will collaborate with cross-functional teams of engineers, researchers, and product managers to design, develop, and deploy innovative solutions. Your technical expertise will be crucial in experimenting, iterating, and building prototypes of AI systems that demonstrate business value.
Responsibilities
Collaborate with product managers, business analysts, and domain experts to understand customer problem statements and translate them into AI solution opportunities.
Rapidly prototype AI applications using LLMs and generative AI technologies (e.g., GPT, Claude, Mistral, or open-source equivalents) with strong hands-on coding abilities.
Develop and fine-tune prompt workflows, RAG (Retrieval-Augmented Generation) pipelines, and multi-agent setups to solve customer-specific challenges.
Evaluate and test different LLM-based tools or architectures to identify optimal approaches for varied use cases.
Document design decisions, experiment results, and prototypes for internal knowledge sharing with production teams.
Stay up to date with the latest developments in generative AI, LLMs, and open-source frameworks; proactively share insights and recommend improvements
Requirements
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
Strong understanding of Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) such as GPT-4, Llama, Mistral or similar.
High proficiency in prompt engineering with agentic AI concepts and workflow implementation.
Experience in prototyping with modern AI/LLM frameworks (e.g., LangChain, LlamaIndex, Hugging Face Transformers, OpenAI APIs).
Proficiency in Python and familiarity with vector databases (e.g., FAISS, Chroma, Weaviate) and cloud environments.
Creative problem-solving mindset with an ability to navigate ambiguous requirements.
Effective communication skills to interact with both technical and non-technical stakeholders.
Proven track record of successfully delivering complex AI projects from concept to production.
Preferred
3+ years of industry experience in AI/ML, with direct involvement in building LLM-based solutions.
Experience with tools like Streamlit, Gradio, or similar platforms to quickly create AI-powered demos.
Bonus if experienced with deploying models in production-like environments. E.g. Cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
Understanding of microservices architecture and RESTful API design.
Ability to implement monitoring, logging, and alerting systems to ensure the health and performance of AI services.
Open to candidates with no experience
Exceptional candidateswith strong academic projects, internships, open-source contributions, or demonstrable personal projects in LLMs or generative AI are encouraged to apply.
What we offer
Competitive salary and benefits package.
Opportunity to work on cutting-edge generative AI projects that directly impact business innovation.
Join a young and dynamic team with forward-looking working culture that fosters innovation, collaboration, and personal growth.
Access to cutting-edge technology resources, opportunities for continuous learning and skill development.
Apply now
if you are excited to use Generative AI to bring ideas to life and shape the future of intelligent solutions
#J-18808-Ljbffr

AI Engineer
About Company
Cyber Infrastructure is #1 Technology solution provider, committed to delivering outstanding client experiences and optimal career growth for its team members. Established on November 7, 2003, Cyber Infrastructure (CIS) is a CMMI Level 5 accredited organization. We have emerged as the Largest Technology services Provider company in Central India. Valuing over $50 million, with a presence in 5 countries and a highly Competent and Professional Team of 1000+ Professionals, who are consistently engaged in pioneering Application Development Projects and driving success for our clients.
Position
AI Engineer
Department
AI Engineer
Skills Required
Artificial Intelligence
Educational Qualification(s) Required
BE / ME / B.Tech / M.Tech (CS / IT) / MCA or equivalent
Overview of Job
Artificial intelligence engineers create and build methods and systems for artificial intelligence. AI engineers develop models with the ability to evaluate information, forecast outcomes, and carry out tasks automatically. AI Engineers advance software capabilities and contribute to creative solutions for a range of applications by developing machine learning technology.
Duties & Responsibilities
Design, develop, and implement AI/ML algorithms and models to solve business challenges.
Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications.
Research and stay up-to-date with the latest advancements in AI, machine learning, and deep learning technologies.
Develop data pipelines and preprocessing methods for model training and deployment.
Monitor, evaluate, and improve the performance of AI models and systems.
Conduct experiments to validate hypotheses and enhance AI system capabilities.
Collaborate with data scientists, software engineers, and product managers to deploy AI solutions in production environments.
Create technical documentation for AI models and workflows.
Required Skills & Qualifications
Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
Proficiency in programming languages like Python, R, or Java.
Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning.
Strong understanding of data structures, algorithms, and statistics.
Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models.
Knowledge of MLOps tools and practices for model deployment and monitoring.
Ability to work with large datasets and build scalable AI solutions.
Strong problem-solving and critical-thinking skills.
Excellent communication and collaboration skills.
Experience in AI-driven products or solutions in industries like healthcare, finance, retail, etc.
Exposure to big data technologies (e.g., Hadoop, Spark).
Knowledge of model interpretability and explainability methods.
Onsite Work Location
Singapore
Working Model
Work from Office. You should be willing to work on-site at our locations in India and globally, including the USA, UK, Australia, and the Middle East.
On-site benefits apply.
Apply from Locations
Indore / Nagpur / Bhopal / Jabalpur / Nasik / Ujjain / Gwalior / Chhindwara / Kanpur / Patna / Bangalore / Chennai / Mumbai / Pune / Hyderabad / NCR / Ahmedabad
How to Apply Directly?
Visit URL and Apply directly online by filling our form.
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