1,096 AI Architect jobs in Indonesia
Data & AI Architect
Posted today
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About the role
Join PT Mitra Solusi Telematika as a Data & AI Architect, where you will play a crucial role in designing and implementing robust, scalable, and secure database solutions. As a full-time employee, you will be based in South Jakarta, contributing to the company's Information & Communication Technology initiatives.
What we're looking for
- 5+ years of experience as a Data Architect
- 2 or more in data platform project
- Proficiency in SQL and one or more programming languages (Python, Scala, Java).
- Proven experience in designing and implementing data warehouse & big data platforms (e.g., Hadoop, Spark, Kafka).
- Proven experience in delivering AI/ML projects & Generative AI at production level.
- Knowledge of data infrastructure, pipelines, storage, and visualization
- Familiarity with data governance, metadata management, and data cataloging tools.
- Ability to develop detailed technical requirements from business needs
- Excellent communication and strategic thinking abilities
- Comfortable explaining complex architectures and trade-offs
- Experience as a Data Scientist is preferable
- BS or MS in Computer Science, Statistics, or related field
What you'll be doing
- Gather business and technical requirements from stakeholders
- Design and implement end-to-end data architecture solutions for big data platforms.
- Develop technical architecture, including data stack architecture, analytics environment, and AI
- Determine technical feasibility and validate designs against requirements
- Select appropriate technologies considering cost, scalability, and ease of integration
- Collaborate with data engineers, analysts, and business stakeholders to understand data requirements.
- Architect data pipelines, analytics architecture, and machine learning models
- Ensure data quality, governance, and security across all data systems.
- Communicate complex architecture trade-offs to executives and stakeholders
- Stay up-to-date on technologies and trends in mining and natural resources
- Document architecture standards, best practices, and technical specifications.
What we offer
At PT Mitra Solusi Telematika, we are committed to providing a supportive and inclusive work environment that empowers our employees to thrive. We offer competitive compensation and opportunities for career development to support your overall health and happiness.
About us
PT Mitra Solusi Telematika is a leading provider of innovative Information & Communication Technology solutions in Indonesia. With a focus on delivering reliable and scalable data-driven products and services, we are dedicated to empowering our clients to achieve their strategic goals. Join our dynamic team and be a part of our continued growth and success.
Apply now to become our next Data Architect
Senior AI Architect - Generative Models
Posted 8 days ago
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Responsibilities:
- Architect and design scalable, robust, and efficient generative AI systems.
- Lead the evaluation and selection of appropriate AI models, frameworks, and tools for generative tasks.
- Develop technical strategies for implementing LLMs, image generation models, and other synthetic data solutions.
- Design and oversee the implementation of AI infrastructure on cloud platforms (AWS, Azure, GCP).
- Establish best practices for AI development, deployment, and monitoring, focusing on generative models.
- Collaborate with data scientists and engineers to ensure the successful integration of AI solutions into products and services.
- Provide technical leadership and guidance on AI projects, ensuring alignment with business objectives.
- Stay abreast of the latest research and advancements in generative AI and related fields.
- Ensure ethical considerations and responsible AI practices are integrated into AI system design.
- Communicate complex technical concepts to both technical and non-technical stakeholders.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 8+ years of experience in AI/ML research and development, with a strong focus on generative models.
- In-depth knowledge of large language models (LLMs), diffusion models, GANs, and other generative techniques.
- Expert proficiency in Python and deep learning frameworks (TensorFlow, PyTorch).
- Extensive experience with cloud computing platforms and services for AI/ML workloads.
- Proven experience in designing and deploying complex AI architectures in production environments.
- Strong understanding of data engineering, MLOps, and software development best practices.
- Excellent analytical, problem-solving, and strategic thinking skills.
- Exceptional communication and presentation skills, with the ability to influence technical decisions.
- Experience in leading AI projects and mentoring technical teams.
Lead AI Ethicist & Responsible AI Architect
Posted 8 days ago
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Your responsibilities will include conducting rigorous ethical risk assessments for new AI models and applications, identifying potential biases, and designing mitigation strategies. You will create and maintain comprehensive documentation on our responsible AI principles and best practices, ensuring they are accessible and actionable for all technical teams. The Lead AI Ethicist will also collaborate closely with legal, compliance, and public policy teams to navigate the evolving regulatory landscape of AI.
Key Responsibilities:
- Develop and champion the company's AI ethics principles, guidelines, and policies.
- Lead the design and implementation of a global Responsible AI framework.
- Conduct ethical impact assessments and bias audits for AI systems.
- Collaborate with AI/ML engineers, data scientists, and product managers to integrate ethical considerations into the AI development lifecycle.
- Create training materials and deliver workshops on AI ethics and responsible AI practices.
- Monitor AI systems for unintended consequences, ethical breaches, and fairness violations.
- Advise on regulatory compliance related to AI ethics and data privacy.
- Foster a culture of ethical awareness and responsibility within the AI development community.
- Engage with external stakeholders, researchers, and industry bodies on AI ethics topics.
- Contribute to the thought leadership in the field of AI ethics through publications and presentations.
- Advanced degree (Master's or Ph.D.) in Computer Science, Ethics, Philosophy, Law, Social Sciences, or a related field with a strong AI focus.
- Significant experience (7+ years) in AI ethics, responsible AI, or technology policy, with a proven track record of implementing ethical frameworks.
- Deep understanding of AI/ML concepts, algorithms, and their societal implications.
- Expertise in fairness, accountability, transparency, and explainability (FATE) in AI.
- Experience in conducting risk assessments and developing mitigation strategies for complex AI systems.
- Familiarity with global AI regulations and ethical standards.
- Excellent communication, leadership, and stakeholder management skills.
- Ability to translate complex technical and ethical concepts into clear, actionable guidance.
- Proven ability to work effectively in a fully remote, international team environment.
AI Solutions Architect - Machine Learning
Posted 4 days ago
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Responsibilities:
- Design end-to-end AI and Machine Learning solutions, from concept to deployment, considering scalability, performance, and cost-effectiveness.
- Architect robust ML pipelines for data preprocessing, model training, evaluation, and deployment.
- Evaluate and select appropriate ML algorithms, frameworks, and tools based on project requirements.
- Collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into existing systems and new products.
- Translate complex business requirements into technical specifications and AI/ML strategies.
- Develop proofs-of-concept and prototypes to demonstrate the feasibility of AI solutions.
- Provide technical leadership and guidance on ML best practices, model optimization, and MLOps.
- Stay abreast of the latest advancements in AI, Machine Learning, Deep Learning, and related fields.
- Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
- Ensure AI solutions are developed and deployed ethically and responsibly, considering potential biases and societal impact.
- Contribute to the company's intellectual property through innovation and potentially patent filings.
- Mentor junior engineers and foster a culture of continuous learning and knowledge sharing within the AI team.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
- Minimum of 6 years of experience in designing and implementing ML solutions, with a significant portion in a solutions architecture role.
- In-depth knowledge of various ML techniques, including supervised, unsupervised, and reinforcement learning, deep learning, NLP, and computer vision.
- Proficiency in programming languages such as Python, Java, or Scala, and extensive experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Strong understanding of data engineering principles, big data technologies (e.g., Spark, Hadoop), and database systems.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex technical concepts clearly.
- Demonstrated ability to lead technical projects and collaborate effectively in a remote team environment.
- Experience with MLOps practices for model deployment, monitoring, and management.
- Knowledge of containerization technologies (e.g., Docker, Kubernetes) is a plus.
AI Solutions Architect, Machine Learning
Posted 5 days ago
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The AI Solutions Architect will be responsible for understanding client needs and translating them into robust, scalable AI and ML architectures. This includes evaluating and recommending appropriate AI technologies, frameworks, and platforms. You will lead the design process for AI models, ensuring they are optimized for performance, efficiency, and ethical considerations. Key responsibilities involve collaborating closely with data scientists, engineers, and product managers throughout the development lifecycle, from conceptualization to deployment and ongoing maintenance.
You will play a pivotal role in prototyping and proof-of-concept development, demonstrating the value of AI solutions. The role also entails providing technical leadership and guidance to development teams, ensuring best practices in AI development and deployment are followed. Staying abreast of the latest advancements in AI, machine learning, deep learning, and related fields is crucial. You will also be involved in pre-sales activities, helping to articulate technical solutions and value propositions to potential clients.
Qualifications include a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A strong portfolio of successfully deployed AI/ML solutions is essential. Extensive experience (7+ years) in designing and implementing complex AI and ML systems, with a deep understanding of various ML algorithms, statistical modeling, and data processing techniques is required. Proficiency in programming languages such as Python, R, and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) is mandatory. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. Excellent communication and presentation skills are critical for conveying technical concepts to both technical and non-technical audiences. This role is based in Tangerang, Banten, ID .
AI Solutions Architect - Machine Learning
Posted 6 days ago
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- Collaborate with stakeholders to define AI/ML project requirements and objectives.
- Design end-to-end AI/ML architectures, including data pipelines, model training, deployment, and monitoring.
- Select appropriate AI/ML algorithms, tools, and technologies for specific use cases.
- Provide technical leadership and guidance to development teams throughout the project lifecycle.
- Develop proof-of-concepts (POCs) and prototypes to demonstrate the feasibility of proposed solutions.
- Ensure the scalability, reliability, and security of deployed AI/ML systems.
- Stay abreast of the latest advancements in AI/ML and cloud technologies.
- Develop and maintain documentation for AI/ML solutions.
- Evaluate and integrate third-party AI/ML services and platforms.
- Present technical solutions and strategies to both technical and non-technical audiences.
AI Solutions Architect - Machine Learning
Posted 8 days ago
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Job Description
Responsibilities:
- Design and architect end-to-end machine learning solutions for various business use cases.
- Collaborate with data scientists and engineers to develop, deploy, and monitor ML models.
- Evaluate and select appropriate AI/ML algorithms, tools, and technologies.
- Ensure the scalability, reliability, and performance of AI systems.
- Define and implement MLOps pipelines and best practices.
- Provide technical leadership and guidance on AI initiatives.
- Translate business requirements into technical specifications for AI solutions.
- Stay abreast of the latest advancements in AI, ML, and deep learning research.
- Communicate technical concepts and strategies to stakeholders at all levels.
- Contribute to the development of AI strategy and roadmap.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of experience in designing and implementing AI/ML solutions in production environments.
- Deep understanding of machine learning algorithms, statistical modeling, and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proven experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Expertise in MLOps, including CI/CD for ML, model monitoring, and version control.
- Strong programming skills in Python and experience with relevant libraries (e.g., scikit-learn, pandas, NumPy).
- Excellent understanding of data engineering principles and big data technologies.
- Exceptional problem-solving, analytical, and critical thinking skills.
- Outstanding communication and interpersonal skills, with the ability to explain complex technical concepts clearly.
- Experience working in a remote, collaborative team environment.
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AI Solutions Architect
Posted today
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AI Solutions Architect
Posted today
Job Viewed
Job Description
Responsibilities:
- Design and architect end-to-end AI and Machine Learning solutions for clients.
- Evaluate and recommend appropriate AI technologies, frameworks, and platforms.
- Develop scalable, robust, and efficient AI/ML models and algorithms.
- Guide the development and deployment of AI solutions across various industries.
- Collaborate with data scientists, engineers, and business stakeholders to define requirements.
- Create prototypes and proof-of-concepts for AI applications.
- Conduct feasibility studies and technical assessments for AI initiatives.
- Ensure the ethical and responsible application of AI technologies.
- Develop and document AI solution architectures and implementation plans.
- Provide technical leadership and mentorship to AI/ML development teams.
- Stay abreast of the latest advancements and trends in AI and emerging technologies.
- Troubleshoot and optimize deployed AI systems.
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 7 years of experience in AI/ML development and solution architecture.
- Proven expertise in designing and implementing complex AI/ML systems.
- Deep understanding of machine learning algorithms, deep learning frameworks, and AI concepts.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services.
- Proficiency in programming languages such as Python, R, or Java.
- Familiarity with big data technologies (e.g., Spark, Hadoop).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts.
- Ability to work independently and lead technical initiatives in a remote environment.
- Experience with MLOps and deployment strategies is a plus.
AI Solutions Architect
Posted today
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