Explore the exciting realm of AI Engineer positions, where innovation meets practical application. These roles involve designing, developing, and implementing artificial intelligence solutions across various industries. AI Engineers work with machine learning models, neural networks, and data analysis techniques to create intelligent systems. They are responsible for optimizing AI performance, ensuring scalability, and integrating AI solutions with existing infrastructure.

The demand for AI Engineers is growing rapidly as businesses seek to leverage AI to improve efficiency, automate processes, and gain a competitive edge. Key skills include proficiency in programming languages like Python, Java, and C++, as well as expertise in machine learning frameworks such as TensorFlow and PyTorch. A strong understanding of data structures, algorithms, and statistical analysis is also crucial for success in this field.

AI Engineers can find opportunities in diverse sectors, including technology, healthcare, finance, and manufacturing. They collaborate with data scientists, software developers, and business stakeholders to deliver impactful AI solutions. The career path for AI Engineers often involves continuous learning and adaptation to new technologies, making it a dynamic and rewarding profession.

What People Ask

A bachelor's or master's degree in computer science, artificial intelligence, or a related field is typically required. Strong programming skills, knowledge of machine learning algorithms, and experience with data analysis tools are beneficial. Certifications in AI and machine learning can enhance your credentials.

AI Engineers design and develop AI models, implement machine learning algorithms, and integrate AI solutions into existing systems. They also optimize AI performance, conduct data analysis, and collaborate with cross-functional teams. Keeping up with the latest advancements in AI is an ongoing responsibility.

The average salary for an AI Engineer in Malaysia ranges from MYR 72,000 to MYR 144,000 per year, depending on experience and location. Senior AI Engineers with specialized skills can earn significantly more. Compensation packages often include benefits such as health insurance and performance bonuses.

Python is the most widely used programming language for AI development, due to its extensive libraries and frameworks. Java and C++ are valuable for performance-critical applications and system integration. Familiarity with languages like R and Scala can be beneficial for specific projects.

Some of the top employers for AI Engineers in Malaysia include Fusionex, Intel, and Microsoft. These companies are actively involved in AI research and development, offering opportunities for career growth. Local startups and tech companies are growing and also offer AI roles.

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918 AI Engineer jobs in Malaysia

AI Engineer

Selangor, Selangor RHB Banking Group

Posted 3 days ago

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Job Description

Responsibilities

Collaborate with product owners and domain experts to understand business requirements and tailor AI solutions accordingly.
Work closely with Data Scientists/Cloud Platform teams to deploy models seamlessly into production environments.
Optimize AI systems and models to ensure high levels of accuracy and reliability.
Engineer system prompts and integrate API calls to generative AI services (Azure OpenAI, AWS Bedrock) to deliver sophisticated AI-driven solutions.
Design and develop advanced GenAI models and algorithms to solve complex business problems within the financial sector.
Train, fine-tune, and validate AI models to ensure high levels of accuracy and reliability.
Optimize machine learning models and ensure they integrate effectively with existing systems.
Develop end-to-end GenAI project lifecycle, including data preprocessing, model training, deployment, and continuous improvement.
Perform hyperparameter tuning, algorithm selection, and feature engineering to optimize model performance. Troubleshoot and resolve issues related to AI models and implementations.
Ensure compliance with financial services industry (FSI) standards, ethical AI practices, and implement AI governance and AI security safeguards.
Create and maintain documentation for AI models and their applications.
Research and stay up-to-date on the latest advancements in AI technologies and methodologies.

Qualifications

Minimum Bachelor's degree in AI, Data Science, Computer Science, or a related field.
Minimum of 2-3 years of hands-on experience in AI and machine learning development.
Strong proficiency in programming languages like Python and experience with AI frameworks.
In-depth understanding of AI models, machine learning, natural language processing (NLP), deep learning architectures, and statistical models.
Solid knowledge of cloud platforms (AWS, Azure) and experience deploying AI models in production environments.
Experience in architecting and implementing large-scale AI solutions aligned with business goals.
Expertise in data preprocessing, feature engineering, model training, and hyperparameter tuning.
Experience in training, testing, and prompt engineering technique.
Experience with containerization and orchestration technologies such as Docker or Kubernetes, particularly for AI model deployment.
Hands-on experience with cloud-based studio tools like Azure Machine Learning, Azure AI Studio, AWS SageMaker.
Strong problem-solving skills, with a focus on optimizing AI model performance and scalability.

Other Skills Required

A background of working with development and DevOps/DevSecOps best practices.
Work iteratively in a team (Agile ways of working) with continuous collaboration.
Self-motivated and strong communication.
Ability to lead and influence team members.
Problem management and analytical thinking.

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AI Engineer

Maistorage Group

Posted 4 days ago

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Job Description

Responsibilities:

Develop, maintain, and optimize AI applications using LLMs and RAG technologies.
Design and implement user interfaces with Streamlit to provide seamless and intuitive user experiences.
Build and integrate RESTful APIs for robust and scalable application interactions.
Experience in using Swagger with RESTful APIs interface.
Experience in SQL databases usage and maintenance.
Use Docker to containerize applications for consistency across development, testing, and production environments.
Collaborate with the software design team to implement and adhere to software design and testing workflows.
Utilize Git for version control and collaborative development.
Troubleshoot and resolve technical issues in a timely manner.

Qualifications and Skills:

Bachelor’s degree or equivalent in Computer Science, Data Science, or a related field.

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AI Engineer

Kuala Lumpur, Kuala Lumpur Encora Inc.

Posted 4 days ago

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Job Description

Encora Inc. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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Job Summary

This role supports the implementation and management of AI and analytics platforms, overseeing MLOps processes, including statistical analysis and model evaluation.

Important Information

Location: Kuala Lumpur Malaysia

Experience: 4 years+

Job Mode: Contract

Work Mode: On-Site

Job Summary

This role supports the implementation and management of AI and analytics platforms, overseeing MLOps processes, including statistical analysis and model evaluation.

Involved in the evaluation and integration of third-party AI solutions, ensuring compliance with organizational standards and AI governance frameworks. A key aspect of the role involves developing and/or integrating generative AI solutions, such as chatbots and agents, to enhance automation and user interaction.

Responsibilities & Duties

Support the implementation and enhancement of the AI and analytics platform, including infrastructure-as-code setup and automation using Terraform or AWS CDK. Ensure alignment with existing cloud architecture and data infrastructure.
Manage the full lifecycle of AI/ML models using the established platform—covering pre-trained model importation (if applicable), training, evaluation, deployment, monitoring, inference execution, and integration of outputs into downstream applications and automation workflows.
Involve in the end-to-end vendor evaluation and procurement process (e.g., RFI, RFP, vendor selection, due diligence) to Implement and adapt third-party AI solutions and assets within the GIMB local environment, ensuring alignment with organizational architectural principles, established AI governance frameworks, and relevant technical standards.
Collaborate with data engineers, business analysts, and stakeholders to understand requirements, and integrate AI model outputs into business processes and reporting applications.
Support the implementation of AI governance framework to ensure that AI solutions adhere to ethical standards, data privacy regulations, model explainability, and responsible AI practices.
Lead the development and implementation of ground truth datasets and labeling processes to ensure high-quality data for training, evaluating, and monitoring AI/ML models, including the compilation of performance metrics and statistical analysis to drive model improvement and business insights.

Qualifications & Skills

Bachelor's degree or above in Data Science, Computer Science, Statistics, Mathematics, or a related field
4 years and above in AI/ML engineering, data science or related fields
Proficiency in Python and ML frameworks/algorithms (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow, Langchain)
Proficiency in generative AI and LLM-related techniques (e.g., natural language processing, model fine-tuning) with familiarity in LangChain, LlamaIndex, or other LLM handling frameworks.
Expertise in designing and deploying solutions on AWS or other cloud platforms
Understanding of MLOps concepts (CI/CD and statistical monitoring)
Familiarity with event-driven and serverless architectures (AWS Lambda/Fargate)

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world's leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora's technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Seniority level

Seniority level Mid-Senior level

Employment type

Employment type Contract

Job function

Job function Engineering and Information Technology
Industries IT Services and IT Consulting

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Petaling Jaya, Selangor, Malaysia 3 days ago

Artificial Intelligence (AI) Software Engineer (Gen AI, Python)

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago

KL Eco City, Federal Territory of Kuala Lumpur, Malaysia 4 days ago

Petaling Jaya, Selangor, Malaysia 3 months ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR6,000.00-MYR8,000.00 1 month ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago

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Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 days ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 4 days ago

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Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 day ago

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WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago

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Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia SGD1.00-SGD1.00 2 months ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 4 days ago

Petaling Jaya, Selangor, Malaysia 12 hours ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR120,000.00-MYR156,000.00 1 week ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia $1,500.00-$3,000.00 1 month ago

AI & Data - Data Scientist (GenAI), Experienced Hire

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago

Petaling Jaya, Selangor, Malaysia 2 months ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago

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AI Engineer

Ipoh, Perak SNS Network (M) Sdn. Bhd.

Posted 11 days ago

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Job Description

AI Engineer

Objectives of this role
• Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy
• Understand company and client challenges and how integrating AI capabilities can help lead to solutions
• Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit
• Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards

Responsibilities:
• Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership
• Collaborate across teams to align AI initiatives with organizational goals, integrate AI into broader system architectures, and ensure the smooth integration and functionality of ML models within our infrastructure
• Keep abreast of the latest developments in AI, machine learning and suggest improvements to existing systems and workflows to maintain our competitive edge.
• Continuously evaluate and iterate on machine learning models to enhance performance based on metrics and feedback from operational teams.
• Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation
• Experience with ML, deep learning, TensorFlow, Python, NLP
• Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
• Experience with cloudenvironments

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AI Engineer

Klang, Selangor RHB Banking Group

Posted 2 days ago

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Job Description

Responsibilities

Collaborate with product owners and domain experts to understand business requirements and tailor AI solutions accordingly. Work closely with Data Scientists/Cloud Platform teams to deploy models seamlessly into production environments. Optimize AI systems and models to ensure high levels of accuracy and reliability. Engineer system prompts and integrate API calls to generative AI services (Azure OpenAI, AWS Bedrock) to deliver sophisticated AI-driven solutions. Design and develop advanced GenAI models and algorithms to solve complex business problems within the financial sector. Train, fine-tune, and validate AI models to ensure high levels of accuracy and reliability. Optimize machine learning models and ensure they integrate effectively with existing systems. Develop end-to-end GenAI project lifecycle, including data preprocessing, model training, deployment, and continuous improvement. Perform hyperparameter tuning, algorithm selection, and feature engineering to optimize model performance. Troubleshoot and resolve issues related to AI models and implementations. Ensure compliance with financial services industry (FSI) standards, ethical AI practices, and implement AI governance and AI security safeguards. Create and maintain documentation for AI models and their applications. Research and stay up-to-date on the latest advancements in AI technologies and methodologies. Qualifications

Minimum Bachelor's degree in AI, Data Science, Computer Science, or a related field. Minimum of 2-3 years of hands-on experience in AI and machine learning development. Strong proficiency in programming languages like Python and experience with AI frameworks. In-depth understanding of AI models, machine learning, natural language processing (NLP), deep learning architectures, and statistical models. Solid knowledge of cloud platforms (AWS, Azure) and experience deploying AI models in production environments. Experience in architecting and implementing large-scale AI solutions aligned with business goals. Expertise in data preprocessing, feature engineering, model training, and hyperparameter tuning. Experience in training, testing, and prompt engineering technique. Experience with containerization and orchestration technologies such as Docker or Kubernetes, particularly for AI model deployment. Hands-on experience with cloud-based studio tools like Azure Machine Learning, Azure AI Studio, AWS SageMaker. Strong problem-solving skills, with a focus on optimizing AI model performance and scalability. Other Skills Required

A background of working with development and DevOps/DevSecOps best practices. Work iteratively in a team (Agile ways of working) with continuous collaboration. Self-motivated and strong communication. Ability to lead and influence team members. Problem management and analytical thinking.

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AI Engineer

Ipoh, Perak SNS Network (M) Sdn. Bhd.

Posted 11 days ago

Tap Again To Close

Job Description

AI Engineer

Objectives of this role • Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy • Understand company and client challenges and how integrating AI capabilities can help lead to solutions • Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit • Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards Responsibilities: • Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership • Collaborate across teams to align AI initiatives with organizational goals, integrate AI into broader system architectures, and ensure the smooth integration and functionality of ML models within our infrastructure • Keep abreast of the latest developments in AI, machine learning and suggest improvements to existing systems and workflows to maintain our competitive edge. • Continuously evaluate and iterate on machine learning models to enhance performance based on metrics and feedback from operational teams. • Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation • Experience with ML, deep learning, TensorFlow, Python, NLP • Experience in REST API development, NoSQL database design, and RDBMS design and optimizations • Experience with cloudenvironments

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AI Engineer

Kelantan, Kelantan Maistorage Group

Posted 20 days ago

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Job Description

Responsibilities:

Develop, maintain, and optimize AI applications using LLMs and RAG technologies. Design and implement user interfaces with Streamlit to provide seamless and intuitive user experiences. Build and integrate RESTful APIs for robust and scalable application interactions. Experience in using Swagger with RESTful APIs interface. Experience in SQL databases usage and maintenance. Use Docker to containerize applications for consistency across development, testing, and production environments. Collaborate with the software design team to implement and adhere to software design and testing workflows. Utilize Git for version control and collaborative development. Troubleshoot and resolve technical issues in a timely manner. Qualifications and Skills: Bachelor’s degree or equivalent in Computer Science, Data Science, or a related field.

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AI Engineer

Kuala Lumpur, Kuala Lumpur Encora Inc.

Posted 20 days ago

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Job Description

Encora Inc. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia Join or sign in to find your next job

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AI Engineer

role at

Encora Inc. Encora Inc. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 day ago Be among the first 25 applicants Join to apply for the

AI Engineer

role at

Encora Inc. Get AI-powered advice on this job and more exclusive features. Job Summary

This role supports the implementation and management of AI and analytics platforms, overseeing MLOps processes, including statistical analysis and model evaluation.

Important Information

Location: Kuala Lumpur Malaysia

Experience: 4 years+

Job Mode: Contract

Work Mode: On-Site

Job Summary

This role supports the implementation and management of AI and analytics platforms, overseeing MLOps processes, including statistical analysis and model evaluation.

Involved in the evaluation and integration of third-party AI solutions, ensuring compliance with organizational standards and AI governance frameworks. A key aspect of the role involves developing and/or integrating generative AI solutions, such as chatbots and agents, to enhance automation and user interaction.

Responsibilities & Duties

Support the implementation and enhancement of the AI and analytics platform, including infrastructure-as-code setup and automation using Terraform or AWS CDK. Ensure alignment with existing cloud architecture and data infrastructure. Manage the full lifecycle of AI/ML models using the established platform—covering pre-trained model importation (if applicable), training, evaluation, deployment, monitoring, inference execution, and integration of outputs into downstream applications and automation workflows. Involve in the end-to-end vendor evaluation and procurement process (e.g., RFI, RFP, vendor selection, due diligence) to Implement and adapt third-party AI solutions and assets within the GIMB local environment, ensuring alignment with organizational architectural principles, established AI governance frameworks, and relevant technical standards. Collaborate with data engineers, business analysts, and stakeholders to understand requirements, and integrate AI model outputs into business processes and reporting applications. Support the implementation of AI governance framework to ensure that AI solutions adhere to ethical standards, data privacy regulations, model explainability, and responsible AI practices. Lead the development and implementation of ground truth datasets and labeling processes to ensure high-quality data for training, evaluating, and monitoring AI/ML models, including the compilation of performance metrics and statistical analysis to drive model improvement and business insights.

Qualifications & Skills

Bachelor's degree or above in Data Science, Computer Science, Statistics, Mathematics, or a related field 4 years and above in AI/ML engineering, data science or related fields Proficiency in Python and ML frameworks/algorithms (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow, Langchain) Proficiency in generative AI and LLM-related techniques (e.g., natural language processing, model fine-tuning) with familiarity in LangChain, LlamaIndex, or other LLM handling frameworks. Expertise in designing and deploying solutions on AWS or other cloud platforms Understanding of MLOps concepts (CI/CD and statistical monitoring) Familiarity with event-driven and serverless architectures (AWS Lambda/Fargate)

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world's leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora's technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Contract Job function

Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Encora Inc. by 2x Sign in to set job alerts for “Artificial Intelligence Engineer” roles.

Petaling Jaya, Selangor, Malaysia 3 days ago Artificial Intelligence (AI) Software Engineer (Gen AI, Python)

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago KL Eco City, Federal Territory of Kuala Lumpur, Malaysia 4 days ago Petaling Jaya, Selangor, Malaysia 3 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR6,000.00-MYR8,000.00 1 month ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago KL Eco City, Federal Territory of Kuala Lumpur, Malaysia 4 weeks ago Petaling Jaya, Selangor, Malaysia 1 month ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 5 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 4 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 day ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 day ago WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 day ago Federal Territory of Kuala Lumpur, Malaysia 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia SGD1.00-SGD1.00 2 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 4 days ago Petaling Jaya, Selangor, Malaysia 12 hours ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR120,000.00-MYR156,000.00 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia $1,500.00-$3,000.00 1 month ago AI & Data - Data Scientist (GenAI), Experienced Hire

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Petaling Jaya, Selangor, Malaysia 2 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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AI Engineer

Kuala Lumpur, Kuala Lumpur Link Compliance

Posted 18 days ago

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Job Description

Our client is a medical tech company, specializes in AI-powered echocardiography solutions.

Job Responsibilities:

Al Engineering & Infrastructure
Build and maintain ML infrastructure and tooling to support our data science team's model development
Develop robust data pipelines for training, validation, and continuous model improvement workflows
Create automated testing frameworks for model validation and performance monitoring
Optimize model performance for inference speed, memory usage, and scalability in production
Support data scientists with engineering tools and frameworks that accelerate their research and experimentation
Deployment & Production Systems
Deploy Al models to production with robust monitoring, logging, and performance tracking systems
Collaborate with engineering teams to integrate Al capabilities into broader system architectures
Implement comprehensive MLOps practices for model versioning, testing, automated deployment, and rollback procedures
Build scalable inference systems that can handle high-volume medical imaging workloads with consistent performance
Ensure model reliability and maintain high uptime for critical healthcare applications
Create deployment automation that enables data scientists to easily promote models from development to production
Innovation & Improvement
Stay current with Al trends and evaluate new techniques for potential integration
Suggest improvements to existing systems and workflows based on latest research Participate in research initiatives and potentially contribute to academic publications
Mentor junior engineers and contribute to building our Al team culture
Collaborate with clinical partners to understand domain requirements and validate model performance

Job Requirements:

Degree in Computer Science, Engineering, or related field with focus on machine learning/Al Deep expertise in computer vision with proven experience in image classification and segmentation
Strong Python proficiency for ML development, data processing, and system integration
Experience with Al frameworks such as TensorFlow, Keras, and PyTorch
Problem-solving mindset with ability to debug complex, distributed ML systems

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Generative AI Engineer

Kuala Lumpur, Kuala Lumpur Beyondsoft Malaysia

Posted 2 days ago

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Job Description

Overview

Design and implement core AI-driven backend services with a focus on integrating Generative AI capabilities, Retrieval-Augmented Generation (RAG) frameworks, and intelligent agents to enable reasoning and automation.

Responsibilities

Design graph-enhanced RAG techniques to improve contextual linking and retrieval accuracy.
Develop AI agents capable of orchestrating tasks and enabling autonomous workflows.
Build ingestion pipelines for both structured and unstructured data.
Optimize information retrieval systems for speed, scalability, and relevance.

Required Skills

Strong proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
Familiar with LangChain or similar AI orchestration frameworks.
Experience in GenAI, RAG, graph databases (e.g., Neo4j), and agent-based systems.
Understanding of NLP pipelines, vector search, and system optimization techniques.

Qualifications

Master’s degree or above in Computer Science, Artificial Intelligence, or a related field.
4+ years of hands-on experience in AI/ML development.
Production-level experience in deploying AI systems is a strong plus.
Strong algorithm design and experimental validation skills.

Preferred

Open-source contributions or AI research background.
Familiarity with ethical AI and responsible AI development practices.

Seniority level

Associate

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

IT Services and IT Consulting

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