446 AI Internship jobs in Malaysia

Thales (Euronext Paris: HO) is a global leader in advanced technologies specialising in three business domains: Defence & Security, Aeronautics & Space and Cybersecurity & Digital identity. It develops products and solutions that help make the world safer, greener and more inclusive. The Group invests close to €4 billion a year in Research & Development, particularly in key innovation areas such as AI, cybersecurity, quantum technologies, cloud technologies and 6G. Thales has close to 81,000 employees in 68 countries. In 2023, the Group generated sales of €18.4 billion. Thales has been present in Singapore since 1973 originally supporting aerospace-related activities in the Asia-Pacific region. Since then, the company has expanded and is today involved in the primary businesses of Aerospace (including Air Traffic Management), Defence & Security and Digital Identity & Security. Thales employs over 2,000 employees across 3 locations in Singapore providing solutions that help customers make critical decisions. As a people-centred company, Thales was honoured to be ranked 50th out of 200 on Straits Times Singapore’s Best Employers 2021 list, a recognition of our investment in nurturing talent. About Us At Thales Research and Technology (TRT), we extend the influence of Thales within the scientific and technical communities, offering a platform for innovation and knowledge sharing, and attracting talented research engineers to further develop our expertise. Together with our academic partners in the universities, we deliver impactful innovations that prepare for future applications. Role Description We are seeking a talented and driven Engineer/Senior Engineer specializing in Data Science & AI, with a strong emphasis on computer vision and machine learning, to join our dynamic team. In this role, you will contribute to our pioneering projects in intelligent systems that transform operational data into actionable information that enable End Users to make trusted decisions. To be successful in this role, you should possess curiosity to explore the State-of-the-Art, willingness to challenge the status quo, being open-minded to new possibilities and be a team player in a dynamic research environment. You should thrive on self-learning and value hands-on experience in upskilling. You should be proactive to propose and champion new ideas towards stakeholders and create new values from the application of Data Science & AI in Thales business domains. Responsibilities: · Develop and implement computer vision algorithms and machine learning models for a range of applications, including object detection, change detection, anomaly detection, multiclass classification, behaviour analysis, and video stitching and scaling. · Contribute to cross-functional teams developing proof-of-concepts and conduct experiments in realistic environments to validate algorithms, optimize performance, and ensure the robustness of models in real-world applications. · Able to generate good quality documentation and capture patentable inventions. · Stay current with the latest advancements in AI, machine learning, and computer vision technologies to continually enhance our capabilities. · Motivated to share knowledge via presentations in internal and external events. · In the case of a Senior Engineer profile, act as the computer vision subject matter expert and provide technical guidance and mentorship in the team. Requirements: · Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field, with specialisation in Data Science and AI. · Hands-on experience in computer vision and machine learning, with a diverse portfolio of projects. · Proficiency in programming languages such as Python, C++, or C, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, OpenCV) and MLOps concepts (e.g. KubeFlow). · Solid understanding of deep learning architectures and algorithms like CNN and vision transformer, particularly in the context of image and video analysis. · Strong analytical skills and the ability to work with large datasets. · Excellent communication skills, with the ability to present complex technical concepts to non-technical stakeholders. · Experience in a collaborative, team-oriented environment. Desired Skills: · Familiarity with cloud computing platforms and big data technologies. · Knowledge of embedded systems and real-time processing. · Experience in specific domains such as aerospace, automotive, defence, or security is a plus.

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Join to apply for the Lecturer (Computer Science, Data Science, AI) role at Monash University Malaysia

Join to apply for the Lecturer (Computer Science, Data Science, AI) role at Monash University Malaysia

Lecturer

Job No.: 492768

School: School of Information Technology

Location: Main campus

Employment Type: Full-time

Duration: Fixed-term

Classification: Level B

• Be inspired, every day
• Take your career in exciting, rewarding directions
• Be a part of an inclusive, collaborative community
  
  

Everyone needs a platform to launch a satisfying career. At Monash, we give you space and support to take your career in all kinds of exciting new directions. You’ll have access to quality research, infrastructure, and learning facilities, opportunities to collaborate internationally, as well as the grants you’ll need to publish your work. We’re a university full of energetic and enthusiastic minds, driven to challenge what’s expected, expand what we know, and learn from other inspiring, empowering thinkers.

The Opportunity

Level B Teaching Fellows are expected to make solid contributions to teaching and learning within their school. Teaching Fellows at this level may be appointed in recognition of distinction in their disciplinary area. The position is expected to engage in high-quality education and enhancing the student learning experience of the School. S/he will play a strong leadership role in educational innovation, curriculum design and review. S/he will make an outstanding contribution inside and outside of the University, and in engagement with the community and profession, notably in areas related to teaching and learning.

Position Description

Teaching Fellow

Key Responsibilities

• Lead the development and delivery of innovative and excellent teaching, learning and assessment experiences for undergraduate and postgraduate students
• Contribute to the School in terms of education quality, OBE and accreditation matters
• Contribute to the curriculum development, innovation, enhancement and quality assurance in the undergraduate and postgraduate curriculum, especially during the off-semester periods
• Work closely with the School’s Education Management Office (EMO) for efficient education-related statistics gathering and student progress tracking, especially during the off-semester periods
• Contribute to the management of education and/or administration in the School, including coaching, mentorship, leadership and effective performance management, where relevant
• Contribute to academic service responsibilities, including contributing to outcomes of the discipline and/or school meetings and/or internal committees
• Contribute to the development of strong collaborations with other universities and with government, industry and/or civil society to drive excellence and impact of education and student experience
  
  

Education/Qualifications

Key Selection Criteria:

• A doctoral qualification (PhD) or equivalent
• A strong record of successful and innovative curriculum development
• An outstanding record of teaching which demonstrates a commitment to educational innovation
• Demonstrated skills and experience in collaboration and leadership
• Ability to promote the discipline internally within the university as well as externally, both nationally and internationally
• Eligible to register with the MBOT as a Professional Technologist
• Eligible to apply for a teaching permit with the Ministry of Education
  
  

There’s a certain feeling you get from working at Monash University. It’s the feeling that you’re a part of something special. Something significant. And that’s because you’re not just starting your career, or taking on a bigger challenge. You’re making a real contribution – surrounded by energetic, inspiring people who are driven to make a difference as well. Monash is a place where you’ll be able to develop your career in exciting, sometimes unexpected ways – putting you in the best possible position for a rewarding future.

If you believe you fit this profile, we look forward to receiving your application.

Your application

Your application must address the selection criteria. Please refer toHow to apply for Monash Jobs".

Closing Date

31 December 2025 11.55pm MYT

Monash University Malaysia reserves the right to delay or not to proceed with an appointment for the above-mentioned position.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Higher Education

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Get notified about new Lecturer in Computer Science jobs in Subang Jaya, Selangor, Malaysia .

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Teaching Fellow (Computer Science, Data Science, AI)

Apply now Job no: 492768
Work type: Fixed-term (Full-time)
Location: Main campus - Malaysia
Categories: Academic - Education focused

Teaching Fellow

Job No.: 492768

School: School of Information Technology

Employment Type: Full-time

Duration: Fixed-term

• Be inspired, every day
• Take your career in exciting, rewarding directions
• Be a part of an inclusive, collaborative community

Everyone needs a platform to launch a satisfying career. At Monash, we give you space and support to take your career in all kinds of exciting new directions. You’ll have access to quality research, infrastructure, and learning facilities, opportunities to collaborate internationally, as well as the grants you’ll need to publish your work. We’re a university full of energetic and enthusiastic minds, driven to challenge what’s expected, expand what we know, and learn from other inspiring, empowering thinkers.

The Opportunity

Level B Teaching Fellows are expected to make solid contributions to teaching and learning within their school. Teaching Fellows at this level may be appointed in recognition of distinction in their disciplinary area. The position is expected to engage in high-quality education and enhancing the student learning experience of the School. S/he will play a strong leadership role in educational innovation, curriculum design and review. S/he will make an outstanding contribution inside and outside of the University, and in engagement with the community and profession, notably in areas related to teaching and learning.

Key Responsibilities

Lead the development and delivery of innovative and excellent teaching, learning and assessment experiences for undergraduate and postgraduate students

Contribute to the School in terms of education quality, OBE and accreditation matters

Contribute to the curriculum development, innovation, enhancement and quality assurance in the undergraduate and postgraduate curriculum, especially during the off-semester periods

Work closely with the School’s Education Management Office (EMO) for efficient education-related statistics gathering and student progress tracking, especially during the off-semester periods

Contribute to the management of education and/or administration in the School, including coaching, mentorship, leadership and effective performance management, where relevant

Contribute to academic service responsibilities, including contributing to outcomes of the discipline and/or school meetings and/or internal committees

Contribute to the development of strong collaborations with other universities and with government, industry and/or civil society to drive excellence and impact of education and student experience

Key Selection Criteria:

Education/Qualifications

A strong record of successful and innovative curriculum development

An outstanding record of teaching which demonstrates a commitment to educational innovation

Demonstrated skills and experience in collaboration and leadership

Ability to promote the discipline internally within the university as well as externally, both nationally and internationally

Eligible to register with the MBOT as a Professional Technologist

• Eligible to apply for a teaching permit with the Ministry of Education

There’s a certain feeling you get from working at Monash University. It’s the feeling that you’re a part of something special. Something significant. And that’s because you’re not just starting your career, or taking on a bigger challenge. You’re making a real contribution – surrounded by energetic, inspiring people who are driven to make a difference as well. Monash is a place where you’ll be able to develop your career in exciting, sometimes unexpected ways – putting you in the best possible position for a rewarding future.

If you believe you fit this profile, we look forward to receiving your application.

Monash University Malaysia reserves the right to delay or not to proceed with an appointment for the above-mentioned position.

Advertised: 20 May 2025 Singapore Standard Time
Applications close: 31 Dec 2025 Singapore Standard Time

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Teaching Fellow (Computer Science, Data Science, AI)

Apply now

Job no:

492768 Work type:

Fixed-term (Full-time) Location:

Main campus - Malaysia Categories:

Academic - Education focused

Teaching Fellow Job No.: 492768 School: School of Information Technology Employment Type:

Full-time Duration: Fixed-term Be inspired, every day Take your career in exciting, rewarding directions Be a part of an inclusive, collaborative community Everyone needs a platform to launch a satisfying career. At Monash, we give you space and support to take your career in all kinds of exciting new directions. You’ll have access to quality research, infrastructure, and learning facilities, opportunities to collaborate internationally, as well as the grants you’ll need to publish your work. We’re a university full of energetic and enthusiastic minds, driven to challenge what’s expected, expand what we know, and learn from other inspiring, empowering thinkers. The Opportunity Level B Teaching Fellows are expected to make solid contributions to teaching and learning within their school. Teaching Fellows at this level may be appointed in recognition of distinction in their disciplinary area. The position is expected to engage in high-quality education and enhancing the student learning experience of the School. S/he will play a strong leadership role in educational innovation, curriculum design and review. S/he will make an outstanding contribution inside and outside of the University, and in engagement with the community and profession, notably in areas related to teaching and learning. Key Responsibilities Lead the development and delivery of innovative and excellent teaching, learning and assessment experiences for undergraduate and postgraduate students Contribute to the School in terms of education quality, OBE and accreditation matters Contribute to the curriculum development, innovation, enhancement and quality assurance in the undergraduate and postgraduate curriculum, especially during the off-semester periods Work closely with the School’s Education Management Office (EMO) for efficient education-related statistics gathering and student progress tracking, especially during the off-semester periods Contribute to the management of education and/or administration in the School, including coaching, mentorship, leadership and effective performance management, where relevant Contribute to academic service responsibilities, including contributing to outcomes of the discipline and/or school meetings and/or internal committees Contribute to the development of strong collaborations with other universities and with government, industry and/or civil society to drive excellence and impact of education and student experience Key Selection Criteria: Education/Qualifications A strong record of successful and innovative curriculum development An outstanding record of teaching which demonstrates a commitment to educational innovation Demonstrated skills and experience in collaboration and leadership Ability to promote the discipline internally within the university as well as externally, both nationally and internationally Eligible to register with the MBOT as a Professional Technologist Eligible to apply for a teaching permit with the Ministry of Education There’s a certain feeling you get from working at Monash University. It’s the feeling that you’re a part of something special. Something significant. And that’s because you’re not just starting your career, or taking on a bigger challenge. You’re making a real contribution – surrounded by energetic, inspiring people who are driven to make a difference as well. Monash is a place where you’ll be able to develop your career in exciting, sometimes unexpected ways – putting you in the best possible position for a rewarding future. If you believe you fit this profile, we look forward to receiving your application. Monash University Malaysia reserves the right to delay or not to proceed with an appointment for the above-mentioned position. Advertised:

20 May 2025 Singapore Standard Time Applications close:

31 Dec 2025 Singapore Standard Time

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We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit , and read about the latest news via our StoryHub .

Description and Requirements

We are seeking an experienced and innovative AI Development Architect to lead the development of Lenovo’s AI technology platform. This role is responsible for designing and delivering core AI infrastructure components, including GenAI-based model development platforms, enterprise knowledge & data platform, and intelligent agents. The ideal candidate will combine strong software engineering skills with deep expertise in GenAI technologies to drive scalable, intelligent solutions across Lenovo’s product ecosystem.

Key Responsibilities:
1. Product Development & Technical Leadership:
Lead the design and development of Lenovo’s AI technology platform, including GenAI-powered model training and inference pipelines, RAG-based knowledge systems, and intelligent agents.
Collaborate with product and other teams to integrate AI capabilities into enterprise products and services.
Evaluate and adopt leading GenAI frameworks, tools, and best practices to accelerate innovation.

2. Global Team Collaboration:
Partner with global engineering teams in Malaysia, Singapore, and other locations to drive AI infrastructure development.
Establish standards and reusable components to ensure consistency and reusability across projects.
Mentor engineers and promote cross-functional collaboration in AI solution design.

3. Customer & Business Support:
Work with solution and product teams to define and deliver customer-specific AI solutions.
Participate in technical consulting, POCs, and real-world deployment of AI applications.

Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 8+ years of experience in enterprise software development, with at least 3 years of hands-on experience in AI/ML or GenAI platform architecture.
- Strong programming proficiency in Java and Python, with solid experience in Spring and Spring Cloud frameworks.
- Familiarity with relational databases such as PostgreSQL and MySQL.
- Hands-on experience with Docker, Kubernetes, Git, and modern CI/CD pipelines.
- Solid understanding of DevOps practices and Scrum-based agile development.
- In-depth knowledge of GenAI technologies including transformers, fine-tuning, inference, RAG (Retrieval-Augmented Generation), and agent frameworks.
- Experience with GenAI tools such as LangChain, LangGraph, or similar open-source frameworks.
- Demonstrated success in delivering real-world GenAI applications such as AI assistants, copilots, content generation tools, or knowledge bots.
- Familiarity with LLM serving, vector databases, and open-source model integration is a strong plus.
- Excellent communication and collaboration skills; fluent in English and experienced working in global, cross-functional teams.

If you require an accommodation to complete this application, please

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We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit , and read about the latest news via our StoryHub . Description and Requirements We are seeking an experienced and innovative AI Development Architect to lead the development of Lenovo’s AI technology platform. This role is responsible for designing and delivering core AI infrastructure components, including GenAI-based model development platforms, enterprise knowledge & data platform, and intelligent agents. The ideal candidate will combine strong software engineering skills with deep expertise in GenAI technologies to drive scalable, intelligent solutions across Lenovo’s product ecosystem. Key Responsibilities: 1. Product Development & Technical Leadership: Lead the design and development of Lenovo’s AI technology platform, including GenAI-powered model training and inference pipelines, RAG-based knowledge systems, and intelligent agents. Collaborate with product and other teams to integrate AI capabilities into enterprise products and services. Evaluate and adopt leading GenAI frameworks, tools, and best practices to accelerate innovation. 2. Global Team Collaboration: Partner with global engineering teams in Malaysia, Singapore, and other locations to drive AI infrastructure development. Establish standards and reusable components to ensure consistency and reusability across projects. Mentor engineers and promote cross-functional collaboration in AI solution design. 3. Customer & Business Support: Work with solution and product teams to define and deliver customer-specific AI solutions. Participate in technical consulting, POCs, and real-world deployment of AI applications. Qualifications: - Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field. - 8+ years of experience in enterprise software development, with at least 3 years of hands-on experience in AI/ML or GenAI platform architecture. - Strong programming proficiency in Java and Python, with solid experience in Spring and Spring Cloud frameworks. - Familiarity with relational databases such as PostgreSQL and MySQL. - Hands-on experience with Docker, Kubernetes, Git, and modern CI/CD pipelines. - Solid understanding of DevOps practices and Scrum-based agile development. - In-depth knowledge of GenAI technologies including transformers, fine-tuning, inference, RAG (Retrieval-Augmented Generation), and agent frameworks. - Experience with GenAI tools such as LangChain, LangGraph, or similar open-source frameworks. - Demonstrated success in delivering real-world GenAI applications such as AI assistants, copilots, content generation tools, or knowledge bots. - Familiarity with LLM serving, vector databases, and open-source model integration is a strong plus. - Excellent communication and collaboration skills; fluent in English and experienced working in global, cross-functional teams. If you require an accommodation to complete this application, please

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AI Development Team Lead

Job Summary:
The AI Development Team Lead is responsible for managing and mentoring a team of AI engineers, ML developers, and data scientists. This role bridges strategic objectives from the Head of Department (HOD) with execution by the technical team. The ideal candidate combines technical AI/ML expertise with project management and people leadership to ensure the successful delivery of AI initiatives that align with business goals.

Key Responsibilities:
Strategic Planning & Execution
• Collaborate with HOD to define AI vision, goals, and KPIs aligned with business needs.
• Translate high-level strategy into actionable technical tasks and sprint plans.
• Evaluate and recommend AI technologies, platforms, tools, and best practices.
Team Leadership & Management
• Lead, mentor, and manage a multidisciplinary team (AI engineers, ML specialists, data scientists).
• Conduct regular one-on-ones, performance reviews, and skill gap assessments.
• Promote a collaborative, transparent, and accountable team environment.
Technical Oversight
• Oversee design, development, testing, deployment, and maintenance of AI/ML models.
• Perform code reviews, model validation, and ensure adherence to engineering standards.
• Identify and resolve technical bottlenecks, support experimentation and innovation.
Project Management
• Manage project timelines, resource allocation, risk assessments, and reporting.
• Facilitate Agile ceremonies (sprint planning, stand-ups, retrospectives).
• Monitor and report on progress, blockers, and deliverables to HOD and stakeholders.
Cross-Functional Collaboration
• Work closely with product managers, data engineers, software teams, and business stakeholders.
• Ensure AI models and systems integrate well with broader platforms or customer touchpoints.
• Translate business questions into data science problems and actionable models.
Governance, Ethics & Compliance
• Ensure all AI/ML developments comply with data privacy laws and AI ethics standards.
• Define policies for model retraining, versioning, and explainability.

Qualifications & Skills:
Education:
• Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Data Science, or related fields.
• Certifications in AI/ML (e.g., Google AI, AWS ML, Microsoft AI Engineer) are a plus.
Experience:
• 5–8 years total in AI/ML, with 2–3 years in a leadership or technical management role.
• Proven experience in deploying ML models into production (real-time or batch).
• Familiarity with Agile/Scrum practices and tools like Jira, Confluence, Git, etc.
Technical Proficiency:
• Proficient in Python and ML libraries: TensorFlow, PyTorch, scikit-learn, etc.
• Experience with model lifecycle: training, tuning, deployment, and monitoring.
• Strong understanding of supervised/unsupervised learning, NLP, computer vision, or generative AI.
• Familiarity with MLOps: Docker, Kubernetes, MLFlow, CI/CD for AI pipelines.
• Experience working with cloud platforms: AWS, GCP, Azure.
Soft Skills:
• Excellent communication and stakeholder management skills.
• Strong leadership, team-building, and conflict resolution skills.
• Analytical mindset with attention to both big-picture strategy and technicaldetail.

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AI Development Team Lead

Job Summary:
The AI Development Team Lead is responsible for managing and mentoring a team of AI engineers, ML developers, and data scientists. This role bridges strategic objectives from the Head of Department (HOD) with execution by the technical team. The ideal candidate combines technical AI/ML expertise with project management and people leadership to ensure the successful delivery of AI initiatives that align with business goals.

Key Responsibilities:
Strategic Planning & Execution
• Collaborate with HOD to define AI vision, goals, and KPIs aligned with business needs.
• Translate high-level strategy into actionable technical tasks and sprint plans.
• Evaluate and recommend AI technologies, platforms, tools, and best practices.
Team Leadership & Management
• Lead, mentor, and manage a multidisciplinary team (AI engineers, ML specialists, data scientists).
• Conduct regular one-on-ones, performance reviews, and skill gap assessments.
• Promote a collaborative, transparent, and accountable team environment.
Technical Oversight
• Oversee design, development, testing, deployment, and maintenance of AI/ML models.
• Perform code reviews, model validation, and ensure adherence to engineering standards.
• Identify and resolve technical bottlenecks, support experimentation and innovation.
Project Management
• Manage project timelines, resource allocation, risk assessments, and reporting.
• Facilitate Agile ceremonies (sprint planning, stand-ups, retrospectives).
• Monitor and report on progress, blockers, and deliverables to HOD and stakeholders.
Cross-Functional Collaboration
• Work closely with product managers, data engineers, software teams, and business stakeholders.
• Ensure AI models and systems integrate well with broader platforms or customer touchpoints.
• Translate business questions into data science problems and actionable models.
Governance, Ethics & Compliance
• Ensure all AI/ML developments comply with data privacy laws and AI ethics standards.
• Define policies for model retraining, versioning, and explainability.

Qualifications & Skills:
Education:
• Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Data Science, or related fields.
• Certifications in AI/ML (e.g., Google AI, AWS ML, Microsoft AI Engineer) are a plus.
Experience:
• 5–8 years total in AI/ML, with 2–3 years in a leadership or technical management role.
• Proven experience in deploying ML models into production (real-time or batch).
• Familiarity with Agile/Scrum practices and tools like Jira, Confluence, Git, etc.
Technical Proficiency:
• Proficient in Python and ML libraries: TensorFlow, PyTorch, scikit-learn, etc.
• Experience with model lifecycle: training, tuning, deployment, and monitoring.
• Strong understanding of supervised/unsupervised learning, NLP, computer vision, or generative AI.
• Familiarity with MLOps: Docker, Kubernetes, MLFlow, CI/CD for AI pipelines.
• Experience working with cloud platforms: AWS, GCP, Azure.
Soft Skills:
• Excellent communication and stakeholder management skills.
• Strong leadership, team-building, and conflict resolution skills.
• Analytical mindset with attention to both big-picture strategy and technicaldetail.

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AI Development Team Lead

Job Summary: The AI Development Team Lead is responsible for managing and mentoring a team of AI engineers, ML developers, and data scientists. This role bridges strategic objectives from the Head of Department (HOD) with execution by the technical team. The ideal candidate combines technical AI/ML expertise with project management and people leadership to ensure the successful delivery of AI initiatives that align with business goals. Key Responsibilities: Strategic Planning & Execution • Collaborate with HOD to define AI vision, goals, and KPIs aligned with business needs. • Translate high-level strategy into actionable technical tasks and sprint plans. • Evaluate and recommend AI technologies, platforms, tools, and best practices. Team Leadership & Management • Lead, mentor, and manage a multidisciplinary team (AI engineers, ML specialists, data scientists). • Conduct regular one-on-ones, performance reviews, and skill gap assessments. • Promote a collaborative, transparent, and accountable team environment. Technical Oversight • Oversee design, development, testing, deployment, and maintenance of AI/ML models. • Perform code reviews, model validation, and ensure adherence to engineering standards. • Identify and resolve technical bottlenecks, support experimentation and innovation. Project Management • Manage project timelines, resource allocation, risk assessments, and reporting. • Facilitate Agile ceremonies (sprint planning, stand-ups, retrospectives). • Monitor and report on progress, blockers, and deliverables to HOD and stakeholders. Cross-Functional Collaboration • Work closely with product managers, data engineers, software teams, and business stakeholders. • Ensure AI models and systems integrate well with broader platforms or customer touchpoints. • Translate business questions into data science problems and actionable models. Governance, Ethics & Compliance • Ensure all AI/ML developments comply with data privacy laws and AI ethics standards. • Define policies for model retraining, versioning, and explainability. Qualifications & Skills: Education: • Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Data Science, or related fields. • Certifications in AI/ML (e.g., Google AI, AWS ML, Microsoft AI Engineer) are a plus. Experience: • 5–8 years total in AI/ML, with 2–3 years in a leadership or technical management role. • Proven experience in deploying ML models into production (real-time or batch). • Familiarity with Agile/Scrum practices and tools like Jira, Confluence, Git, etc. Technical Proficiency: • Proficient in Python and ML libraries: TensorFlow, PyTorch, scikit-learn, etc. • Experience with model lifecycle: training, tuning, deployment, and monitoring. • Strong understanding of supervised/unsupervised learning, NLP, computer vision, or generative AI. • Familiarity with MLOps: Docker, Kubernetes, MLFlow, CI/CD for AI pipelines. • Experience working with cloud platforms: AWS, GCP, Azure. Soft Skills: • Excellent communication and stakeholder management skills. • Strong leadership, team-building, and conflict resolution skills. • Analytical mindset with attention to both big-picture strategy and technicaldetail.

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