118 Artificial Intelligence jobs in Kuala Lumpur

Role Description

We are seeking a Visionary Artificial Intelligence Solution Architect who will serve as an Artificial Intelligence Engineer at CTRL CV. This role combines technical excellence with strategic thinking to design and implement AI-driven solutions from concept to deployment. You will lead efforts in understanding client needs, architecting innovative solutions, and ensuring their seamless integration into real-world applications. If you are passionate about bridging the gap between AI technology and practical business challenges, this is the role for you.

• Solution Design: Architect and design AI-driven solutions that meet specific client needs, defining system requirements and end-to-end workflows.
• AI Model Development: Build and refine advanced algorithms and models, focusing on areas such as pattern recognition, neural networks, natural language processing, and image processing.
• End-to-End Implementation: Lead the deployment and integration of AI systems into existing infrastructures, ensuring scalability and reliability.
• Cross-Functional Collaboration: Work closely with developers, data scientists, and stakeholders to align technical efforts with business goals.
• Client Engagement: Present complex AI concepts in a clear and actionable manner to clients and non-technical stakeholders.
• Innovation and R&D: Stay updated with the latest AI advancements and integrate cutting-edge technologies into solution design.
• System Integration: Oversee API design, cloud deployment, and infrastructure setup to ensure seamless implementation.
• Project Oversight: Manage and prioritize multiple projects, ensuring timely delivery and client satisfaction.

• Solution-Oriented Expertise: Proven ability to design and implement AI systems with a focus on solution architecture and system integration.
• AI Proficiency: Expertise in pattern recognition, neural networks, natural language processing, and image processing concepts and methodologies.
• Technical Skills: Proficiency in frameworks like PyTorch and TensorFlow, and experience with cloud platforms such as AWS, Azure, or GCP.
• Educational Background: Bachelor’s or Master’s degree in Computer Science, AI, or a related field.
• Programming Expertise: Strong programming skills, particularly in Python, with a solid understanding of software development principles.
• Data Insight: Experience in analyzing and interpreting complex data sets to inform model design.
• Communication Skills: Ability to effectively communicate technical concepts to diverse audiences.
• Project Management: Experience managing multiple projects simultaneously with a keen attention to detail.
• Team Collaboration: Ability to thrive in both independent and hybrid team environments.
• Passion for Innovation: A strong drive to explore and implement cutting-edge advancements in AI and solution design.

• At CTRL CV, you’ll have the opportunity to shape groundbreaking projects that empower industries through collaborative innovation. As an Artificial Intelligence Engineer, you will take on the visionary responsibilities of a Solution Architect, designing and delivering impactful AI systems that redefine industry standards. Be part of a team that values creativity, knowledge-sharing, and excellence, and help us set new benchmarks for success.

• Mid-Senior level

• Full-time

• Engineering and Information Technology
• Industries
• Technology, Information and Internet

Referrals increase your chances of interviewing at Ctrl CV by 2x

Get notified about new Artificial Intelligence Engineer jobs in WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia.

Role: AI Engineer

We are seeking a talented and motivated AI Engineer in Malaysia and Indonesia to join our dynamic team. The ideal candidate will have hands-on experience building LLM-powered applications, implementing agentic AI workflows, and integrating AI into production environments.

You will work on projects involving LangChain, LangGraph, LangFlow, LangFuse, vector databases, embeddings, prompt engineering, and multi-agent systems. A strong understanding of both AI model orchestration and application-level deployment is essential. If you are passionate about AI, automation, and delivering production-ready intelligent systems, we would love to meet you.

Responsibilities

• Design, implement, and maintain AI-powered applications using LLMs (e.g., OpenAI, Anthropic, Mistral, LLaMA, Claude, Gemini).
• Develop agentic AI workflows with LangChain and LangGraph, enabling multi-step reasoning, memory, and dynamic tool usage.
• Create interactive AI applications using LangFlow for visual orchestration and LangFuse for observability, debugging, and analytics.
• Integrate vector databases (Pinecone, Weaviate, Milvus, ChromaDB, etc.) for embedding storage, semantic search, and retrieval-augmented generation (RAG).
• Build robust prompt engineering frameworks and prompt optimization strategies to ensure accuracy, reliability, and consistency in AI responses.
• Implement and optimize retrieval pipelines combining embeddings, search algorithms, and metadata filtering.
• Develop multi-agent AI systems with specialized roles, inter-agent communication, and autonomous task planning.
• Utilize Docker and Kubernetes for containerization, orchestration, and scaling AI workloads across environments.
• Collaborate with backend teams to integrate AI services via RESTful APIs or gRPC.
• Monitor, log, and fine-tune AI models in production using observability tools like LangFuse, Weights & Biases, or OpenTelemetry.
• Apply AI safety best practices, guardrails, and policy-based filtering to ensure responsible deployment.
• Conduct performance tuning of AI pipelines for latency, throughput, and cost optimization.
• Stay up-to-date with emerging AI frameworks, research papers, and model releases.

Requirements

• Proven experience in building LLM applications with frameworks like LangChain, LangGraph, and LangFlow.
• Strong knowledge of agentic AI concepts, including planning, reasoning, tool usage, and long-term memory.
• Hands-on experience with LangFuse or similar AI observability platforms.
• Proficiency in Python (FastAPI, Flask, or Django) for backend integration of AI services.
• Experience with vector databases (Pinecone, Weaviate, Milvus, ChromaDB) and embedding models.
• Understanding of RAG pipelines, semantic search, and knowledge base construction.
• Experience with Docker and Kubernetes for deploying scalable AI applications.
• Familiarity with CI/CD pipelines (GitLab, GitHub Actions) for AI deployment.
• Knowledge of prompt engineering techniques and model fine-tuning workflows.
• Strong debugging skills with tools like LangFuse, Postman, and Python debuggers.
• Ability to work in a remote, fast-paced environment, both independently and collaboratively.

Preferred to Have

• Experience with model fine-tuning (LoRA, PEFT, QLoRA) and custom dataset preparation.
• Exposure to multi-modal AI (text, image, audio) applications.
• Knowledge of agentic orchestration with frameworks like CrewAI, AutoGPT, BabyAGI, or OpenAI Assistants API.
• Familiarity with AI cost optimization strategies (token budgeting, hybrid model routing).
• Hands-on experience with cloud AI services (AWS Bedrock, Azure AI, Google Vertex AI).
• Contributions to open-source AI projects.
• Strong communication skills with the ability to articulate complex AI concepts to both technical and non-technical stakeholders.

Please read the job description, qualification and  minimum  requirements carefully and ensure you meet them before applying

Change the world. Love your job.

Texas Instruments Malaysia's Smart Manufacturing Automation team is looking for an Artificial Intelligence (AI) Engineer to drive the implementation of artificial intelligence and machine learning solutions to enhance semiconductor back-end manufacturing operations.

This role involves close collaboration with manufacturing teams, data scientists, and product and process engineers to identify opportunities and deploy AI-driven solutions that improve operational efficiency, quality, and yield.

Responsibilities include:

• Lead a cross functional team on the execution of releasing new products and ensuring successful return on investment for every development; the team consists of Design, Marketing, Systems& Applications, Validation, Product& Test Engineering, Firmware/Software Engineering, Manufacturing, Field, and Quality
• Collaborate with cross-functional teams and domain experts to identify opportunities for AI integration in workflows.
• Analyze and preprocess large datasets from manufacturing equipment, sensors, and logs to enable effective machine learning applications.
• Lead proof-of-concept projects and pilot programs to demonstrate the value of AI applications in manufacturing settings.
• Develop and deploy AI/ML models for defect detection, yield improvement, process optimization, and predictive maintenance in semiconductor back-end manufacturing processes.
• Provide technical documentation, training, and support to ensure seamless adoption of AI solutions by production teams.
• Monitor AI systems performance and implement enhancement.
• Stay updated with the latest advancements in AI/ML and propose innovative solutions applicable to semiconductor manufacturing.
• Set up and manage AI development and production infrastructure.
• Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.
• Build data ingest and data transformation infrastructure.
• Identify transfer learning opportunities and new training datasets.
• Build AI models from scratch and help product managers and stakeholders understand results.
• Deploy AI models into production.
• Create APIs and help business customers put results of your AI models into operations.
• Keep current of latest AI research relevant to our business domain.
• Collaborate with Data Analytics team to integrate and implement large scale data solution.
• Participate in fast-paced prototyping to identify improvement opportunities in manufacturing systems.

Why TI?

• Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
• We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI
• Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us.

About Texas Instruments

Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at 

Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment.

If you are interested in this position, please apply to this requisition.

Minimum requirements:

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence Engineering or a related AI field
• Minimum cumulative GPA of 3.3/4.0 or higher.
• Strong programming skills in Python, R, or equivalent languages.
• Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience in Data Analytics, AI vision or Gen-AI.
• Experience in deploying machine learning models in production environments, including edge devices or cloud-based systems.
• Excellent analytical and problem-solving skills and ability to work collaboratively in a cross-functional team.
• Strong verbal and written communication skills.
• Work Arrangement: This is a full-time onsite role at the Texas Instruments Malaysia, based in Kuala Lumpur
• Important Note: This opportunity is open ONLY  to fresh graduates or those with up to 2 years of post-graduation experience.

Preferred qualifications:

• Knowledge of advanced computer vision techniques, such as deep learning for image classification, segmentation and object detection.
• Knowledge of LLM, Prompt Engineering, RAG and LLM fine-tuning.
• Experience with AI model explainability, trustworthiness, and validation in industrial contexts.
• Knowledge of semiconductor back-end manufacturing processes, including assembly, packaging, and testing.
• Experience in working with semiconductor manufacturing data, including sensor data, equipment logs, and MES data.
• Familiarity with industry standards and protocols (e.g., SECS/GEM standards for semiconductor equipment).
• Familiarity with data analysis tools and techniques.
• Proven track record of publications, patents, or conference presentations in AI/ML applications for manufacturing

Added Advantage:

• Knowledge of semiconductor manufacturing process or equipment.
• Knowledge in sensors, drivers and encoder will be an added advantage.
• Familiarity with Data Processing Tools (Kafka, Spark, Apache Nifi, Dataiku).
• Familiarity with No-SQL databases (Cassandra, Mongo, HDFS).
• Familiarity with software engineering tools (JIRA, Jenkins, Git, Confluence).
• Excellent knowledge of algorithms and data structures.

 
Join CTRL CV: Empowering Industries Through Collaborative Innovation

At CTRL CV, we are more than just a company; we are a collaborative force driving industry-specific digital transformation. By combining collective expertise with cutting-edge AI technology, we deliver tailored solutions that tackle unique challenges across various sectors. Join us to be part of a culture that prioritizes innovation, continuous improvement, and client success. Together, we redefine possibilities and set new benchmarks for excellence.

Role Description

We are seeking a 
visionary Artificial Intelligence Solution Architect
 who will serve as an 
Artificial Intelligence Engineer
 at CTRL CV. This role combines technical excellence with strategic thinking to design and implement AI-driven solutions from concept to deployment. You will lead efforts in understanding client needs, architecting innovative solutions, and ensuring their seamless integration into real-world applications. If you are passionate about bridging the gap between AI technology and practical business challenges, this is the role for you.

Key Responsibilities

• Solution Design:
   Architect and design AI-driven solutions that meet specific client needs, defining system requirements and end-to-end workflows.
• AI Model Development:
   Build and refine advanced algorithms and models, focusing on areas such as pattern recognition, neural networks, natural language processing, and image processing.
• End-to-End Implementation:
   Lead the deployment and integration of AI systems into existing infrastructures, ensuring scalability and reliability.
• Cross-Functional Collaboration:
   Work closely with developers, data scientists, and stakeholders to align technical efforts with business goals.
• Client Engagement:
   Present complex AI concepts in a clear and actionable manner to clients and non-technical stakeholders.
• Innovation and R&D:
   Stay updated with the latest AI advancements and integrate cutting-edge technologies into solution design.
• System Integration:
   Oversee API design, cloud deployment, and infrastructure setup to ensure seamless implementation.
• Project Oversight:
   Manage and prioritize multiple projects, ensuring timely delivery and client satisfaction.

Qualifications

• Solution-Oriented Expertise:
   Proven ability to design and implement AI systems with a focus on solution architecture and system integration.
• AI Proficiency:
   Expertise in pattern recognition, neural networks, natural language processing, and image processing concepts and methodologies.
• Technical Skills:
   Proficiency in frameworks like PyTorch and TensorFlow, and experience with cloud platforms such as AWS, Azure, or GCP.
• Educational Background:
   Bachelor's or Master's degree in Computer Science, AI, or a related field.
• Programming Expertise:
   Strong programming skills, particularly in Python, with a solid understanding of software development principles.
• Data Insight:
   Experience in analyzing and interpreting complex data sets to inform model design.
• Communication Skills:
   Ability to effectively communicate technical concepts to diverse audiences.
• Project Management:
   Experience managing multiple projects simultaneously with a keen attention to detail.
• Team Collaboration:
   Ability to thrive in both independent and hybrid team environments.
• Passion for Innovation:
   A strong drive to explore and implement cutting-edge advancements in AI and solution design.

Why Join CTRL CV?

• At CTRL CV, you'll have the opportunity to shape groundbreaking projects that empower industries through collaborative innovation. As an Artificial Intelligence Engineer, you will take on the visionary responsibilities of a Solution Architect, designing and delivering impactful AI systems that redefine industry standards. Be part of a team that values creativity, knowledge-sharing, and excellence, and help us set new benchmarks for success.

Join CTRL CV: Empowering Industries Through Collaborative Innovation

At CTRL CV, we are more than just a company; we are a collaborative force driving industry-specific digital transformation. By combining collective expertise with cutting-edge AI technology, we deliver tailored solutions that tackle unique challenges across various sectors. Join us to be part of a culture that prioritizes innovation, continuous improvement, and client success. Together, we redefine possibilities and set new benchmarks for excellence.

Role Description

We are seeking a visionary Artificial Intelligence Solution Architect who will serve as an Artificial Intelligence Engineer at CTRL CV. This role combines technical excellence with strategic thinking to design and implement AI-driven solutions from concept to deployment. You will lead efforts in understanding client needs, architecting innovative solutions, and ensuring their seamless integration into real-world applications. If you are passionate about bridging the gap between AI technology and practical business challenges, this is the role for you.

Key Responsibilities

• Solution Design: Architect and design AI-driven solutions that meet specific client needs, defining system requirements and end-to-end workflows.
• AI Model Development: Build and refine advanced algorithms and models, focusing on areas such as pattern recognition, neural networks, natural language processing, and image processing.
• End-to-End Implementation: Lead the deployment and integration of AI systems into existing infrastructures, ensuring scalability and reliability.
• Cross-Functional Collaboration: Work closely with developers, data scientists, and stakeholders to align technical efforts with business goals.
• Client Engagement: Present complex AI concepts in a clear and actionable manner to clients and non-technical stakeholders.
• Innovation and R&D: Stay updated with the latest AI advancements and integrate cutting-edge technologies into solution design.
• System Integration: Oversee API design, cloud deployment, and infrastructure setup to ensure seamless implementation.
• Project Oversight: Manage and prioritize multiple projects, ensuring timely delivery and client satisfaction.

Qualifications

• Solution-Oriented Expertise: Proven ability to design and implement AI systems with a focus on solution architecture and system integration.
• AI Proficiency: Expertise in pattern recognition, neural networks, natural language processing, and image processing concepts and methodologies.
• Technical Skills: Proficiency in frameworks like PyTorch and TensorFlow, and experience with cloud platforms such as AWS, Azure, or GCP.
• Educational Background: Bachelor's or Master's degree in Computer Science, AI, or a related field.
• Programming Expertise: Strong programming skills, particularly in Python, with a solid understanding of software development principles.
• Data Insight: Experience in analyzing and interpreting complex data sets to inform model design.
• Communication Skills: Ability to effectively communicate technical concepts to diverse audiences.
• Project Management: Experience managing multiple projects simultaneously with a keen attention to detail.
• Team Collaboration: Ability to thrive in both independent and hybrid team environments.
• Passion for Innovation: A strong drive to explore and implement cutting-edge advancements in AI and solution design.

Why Join CTRL CV?

At CTRL CV, you'll have the opportunity to shape groundbreaking projects that empower industries through collaborative innovation. As an Artificial Intelligence Engineer, you will take on the visionary responsibilities of a Solution Architect, designing and delivering impactful AI systems that redefine industry standards. Be part of a team that values creativity, knowledge-sharing, and excellence, and help us set new benchmarks for success.

Job Description
Please read the job description, qualification and minimum requirements carefully and ensure you meet them before applying
Change the world. Love your job.
Texas Instruments Malaysia's
Smart Manufacturing Automation
team is looking for an
Artificial Intelligence (AI) Engineer
to drive the implementation of artificial intelligence and machine learning solutions to enhance semiconductor back-end manufacturing operations.

This role involves close collaboration with manufacturing teams, data scientists, and product and process engineers to identify opportunities and deploy AI-driven solutions that improve operational efficiency, quality, and yield.

Responsibilities Include

• Lead a cross functional team on the execution of releasing new products and ensuring successful return on investment for every development; the team consists of Design, Marketing, Systems& Applications, Validation, Product& Test Engineering, Firmware/Software Engineering, Manufacturing, Field, and Quality
• Collaborate with cross-functional teams and domain experts to identify opportunities for AI integration in workflows.
• Analyze and preprocess large datasets from manufacturing equipment, sensors, and logs to enable effective machine learning applications.
• Lead proof-of-concept projects and pilot programs to demonstrate the value of AI applications in manufacturing settings.
• Develop and deploy AI/ML models for defect detection, yield improvement, process optimization, and predictive maintenance in semiconductor back-end manufacturing processes.
• Provide technical documentation, training, and support to ensure seamless adoption of AI solutions by production teams.
• Monitor AI systems performance and implement enhancement.
• Stay updated with the latest advancements in AI/ML and propose innovative solutions applicable to semiconductor manufacturing.
• Set up and manage AI development and production infrastructure.
• Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.
• Build data ingest and data transformation infrastructure.
• Identify transfer learning opportunities and new training datasets.
• Build AI models from scratch and help product managers and stakeholders understand results.
• Deploy AI models into production.
• Create APIs and help business customers put results of your AI models into operations.
• Keep current of latest AI research relevant to our business domain.
• Collaborate with Data Analytics team to integrate and implement large scale data solution.
• Participate in fast-paced prototyping to identify improvement opportunities in manufacturing systems.

Qualifications
Minimum requirements:

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence Engineering or a related AI field
• Minimum cumulative GPA of 3.3/4.0 or higher.
• Strong programming skills in Python, R, or equivalent languages.
• Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience in Data Analytics, AI vision or Gen-AI.
• Experience in deploying machine learning models in production environments, including edge devices or cloud-based systems.
• Excellent analytical and problem-solving skills and ability to work collaboratively in a cross-functional team.
• Strong verbal and written communication skills.
• Work Arrangement: This is a full-time onsite role at the Texas Instruments Malaysia, based in Kuala Lumpur
• Important Note: This opportunity is open ONLY to fresh graduates or those with up to 2 years of post-graduation experience.

Preferred Qualifications

• Knowledge of advanced computer vision techniques, such as deep learning for image classification, segmentation and object detection.
• Knowledge of LLM, Prompt Engineering, RAG and LLM fine-tuning.
• Experience with AI model explainability, trustworthiness, and validation in industrial contexts.
• Knowledge of semiconductor back-end manufacturing processes, including assembly, packaging, and testing.
• Experience in working with semiconductor manufacturing data, including sensor data, equipment logs, and MES data.
• Familiarity with industry standards and protocols (e.g., SECS/GEM standards for semiconductor equipment).
• Familiarity with data analysis tools and techniques.
• Proven track record of publications, patents, or conference presentations in AI/ML applications for manufacturing

Added Advantage

• Knowledge of semiconductor manufacturing process or equipment.
• Knowledge in sensors, drivers and encoder will be an added advantage.
• Familiarity with Data Processing Tools (Kafka, Spark, Apache Nifi, Dataiku).
• Familiarity with No-SQL databases (Cassandra, Mongo, HDFS).
• Familiarity with software engineering tools (JIRA, Jenkins, Git, Confluence).
• Excellent knowledge of algorithms and data structures.

About Us
Why TI?

• Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
• We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI
• Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us.

About Texas Instruments
Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at .

Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment.

If you are interested in this position, please apply to this requisition.

About The Team
TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.

Job Summary

We are offering a
6-month internship for an AI Engineer Intern
to gain hands-on experience in AI development along with exposure to business, project management, and delivery processes. This role provides the opportunity to work closely with cross-functional teams and contribute to real AI projects, preparing you for future career growth in AI and technology. There is a possibility of conversion to a full-time permanent role based on performance and business needs.

What You Will Do

Business Analysis

• Support discovery: run interviews/workshops, take notes, capture goals and pain points.
• Draft user stories, acceptance criteria, and simple process maps (current vs. future state).
• Define success metrics/KPIs and assist in test plans and UAT.

AI Engineering & Prototyping

• Clean and prepare data; write reusable data loaders and feature transforms.
• Build quick prototypes (notebooks/APIs) using Python and libraries like scikit-learn, PyTorch or TensorFlow (guided).
• Experiment with NLP/CV/LLM components (prompting, RAG, embeddings) and document findings.
• Package proofs-of-concept as simple services (e.g., FastAPI/Flask) for internal demos.
• Create evaluation scripts, run A/B or offline metrics, and log results reproducibly.
• Implement basic MLOps hygiene: Git, virtual envs, , simple CI checks.
• Integrate with common data sources (SQL/CSV/Object storage) and call third-party/internal APIs.

Project Coordination & Reporting

• Maintain trackers, RAID logs, and stakeholder comms.
• Prepare concise readouts: problem framing, approach, prototype results, next steps.

Governance & Responsible AI

• Follow internal standards for data privacy, PDPA compliance, model risk documentation, and secure handling of credentials/tokens.

What You Should Have

Education

• Pursuing a Bachelor's in Computer Science, Data/AI, Engineering, Information Systems, or related field (penultimate/final year preferred).
• Python fundamentals; ability to write clean, readable code.
• Basics of pandas/NumPy; exposure to scikit-learn and at least one deep-learning framework (PyTorch/TensorFlow) is a plus.
• Familiarity with LLM tooling (e.g., LangChain/LlamaIndex), embeddings/vector DBs (FAISS/Milvus/pgvector) is advantageous.
• Simple API development (FastAPI/Flask) and JSON/REST.
• Version control with Git; basic unit testing and documentation.
• SQL basics; familiarity with Power BI/Tableau is a bonus.
• Comfort using notebooks (Jupyter) and working with CSV/Parquet.
• Nice to have: Docker basics, GPU awareness (CUDA concepts), prompt engineering/RAG patterns.

Internship Details

• Duration:
  6 months (alienable with academic schedule)
• Engagement:
  Full-time preferred; part-time considered during semesters
• Location:
  Hybrid/On-site (to be confirmed)
• Start Date:
  ASAP
• Allowance/Benefits:
  Competitive internship stipend; tools and access provided where applicable