1,049 Machine Learning jobs in Indonesia

• Design, train, and evaluate deep learning models for various applications (e.g., computer vision, natural language processing, recommendation systems).
• Implement and optimize ML algorithms using frameworks such as TensorFlow, PyTorch, or Keras.
• Perform data preprocessing, feature engineering, and data augmentation.
• Develop and maintain robust ML pipelines for model training, evaluation, and deployment.
• Collaborate with data scientists and engineers to integrate ML models into production systems.
• Stay current with the latest research and advancements in deep learning and AI.
• Conduct experiments and analyze results to improve model performance.
• Write clean, efficient, and well-documented code.
• Troubleshoot and debug ML models and systems.
• Present findings and model performance to technical and non-technical stakeholders.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Minimum of 4 years of experience in machine learning, with a strong focus on deep learning.
• Proficiency in Python and ML libraries (e.g., NumPy, Pandas, Scikit-learn).
• Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
• Solid understanding of deep learning architectures (e.g., CNNs, RNNs, Transformers).
• Experience with data manipulation and analysis tools.
• Strong understanding of statistical modeling and evaluation metrics.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and ML services is a plus.
• Excellent problem-solving and analytical skills.
• Effective communication and collaboration abilities.

Jobdesc:

• Develop and implement machine learning models and algorithms to solve business problems, leveraging both structured and unstructured data.
• Design and build scalable and efficient data pipelines for data ingestion, preprocessing, and feature engineering.
• Collaborate with data scientists to understand business requirements and translate them into technical specifications.
• Conduct exploratory data analysis to gain insights and identify patterns or trends.
• Evaluate and select appropriate machine learning techniques, models, and algorithms based on the project requirements.
• Train, optimize, and fine-tune machine learning models using large-scale datasets.
• Validate and test models for accuracy, reliability, and robustness.
• Monitor and maintain deployed models, ensuring their performance and stability.
• Collaborate with Data Engineers to integrate machine learning models into production systems.
• Stay up to date with the latest advancements in machine learning and related fields, and actively contribute to the team's knowledge base.
• Communicate findings, results, and recommendations to both technical and non-technical to internal stakeholders or customers.

Requirements:

• At least 1 year of experience in Machine Learning & Data Science
• Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field. A master's or Ph.D. degree is a plus.
• Proven experience as a Machine Learning Engineer or similar role. A strong track record of developing and deploying machine learning models in real-world applications is essential.
• Experience with Generative AI by leveraging LLM model like Gemini, GPT 4o, Claude, Mistral, etc.
• Solid understanding of RAG technique in LLM model, Fine tuning, Prompt Engineering.
• Proficiency in programming languages such as Python, R, or Scala, with experience in popular machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of machine learning techniques, including supervised and unsupervised learning, deep learning, natural language processing, and/or reinforcement learning.
• Experience with data manipulation, preprocessing, and feature engineering techniques.
• Strong knowledge of statistical analysis, hypothesis testing, and experimental design.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and distributed computing frameworks (e.g., Hadoop, Spark).
• Proficiency in SQL and database management systems.
• Strong problem-solving skills and the ability to work on complex and ambiguous business problems.
• Excellent communication and teamwork skills, including the ability to collaborate effectively with cross-functional teams.

About AME Group:

AME Group is a global professional services and research firm specialising in energy transition, carbon emissions, and renewables across the energy, materials, and infrastructure sectors.

Our team of engineers, economists, scientists, financial experts, and programmers produces world-class, independent research. We focus on the technical intricacies of on-site engineering and market analysis. Governments, NGOs, fund managers, primary producers, and the financial sector use our analysis and research platforms to drive technological change, plan greenfield projects, and develop low-carbon plant expansions.

What We Do:

• Expand research capabilities in renewables, battery metals, transition commodities, and new energy sectors like hydrogen.
• Analyze individual projects such as solar farms, mines, and infrastructure operations to deliver economic and planning insights.
• Build industry and plant engineering models and catalog carbon emission data using technical papers, production data, financial metrics, surveys, and site visits.

Our 2025 Focus:

This year, we are prioritizing South East Asia, particularly Indonesia. We are establishing a Jakarta office as our regional hub and are eager to collaborate with Indonesian professionals.

About the Role

We are seeking an ML Engineer to design, build, and scale our machine learning and AI tools. With a particular focus on ingestion and creation of documents. This role will work at the intersection of machine learning, large language models, and data engineering, enabling structured insight from complex financial and economics documents.

The ideal candidate will have strong software engineering fundamentals, practical experience building AI-driven data tools, and a passion for applying modern NLP/LLM techniques in production systems.

Key Responsibilities

• Work closely with our current web development team to integrate AI solutions with internal and client facing tools.
• Design and implement pipelines to extract structured data from financial reports, PDFs, and other unstructured text sources.
• Develop and fine-tune workflows combining SLMs (small language models), LLMs, and rule-based methods for accurate and explainable data extraction.
• Build scalable services and APIs for internal and client-facing consumption of extracted financial data.
• Integrate open-source tools and libraries (e.g., Hugging Face, LangChain, pdfplumber, Camelot, Tabula) and commercial LLM APIs where appropriate.
• Implement evaluation frameworks (accuracy, latency, cost) and maintain benchmarks for extraction quality.
• Ensure robust engineering practices: testing, version control, CI/CD pipelines, containerization, and cloud deployment.
• Contribute to research and stay up to date with advances in document AI, new libraries and new techniques.

Qualifications

• Education: BSc (or higher) in Computer Science, Software Engineering, or related field.
• Experience: 3+ years of professional experience as a Machine Learning Engineer, AI Engineer, or NLP Engineer.

Technical Skills (Required):

• Demonstrated experience building tools that leverage LLMs/SLMs for text and document understanding.
• Strong programming skills in Python
• Familiarity with document parsing libraries
• Hands-on use of vector databases (e.g., Chroma, Pinecone, Weaviate) for retrieval-augmented generation.
• Strong background in software engineering best practices (Git, CI/CD, testing)

Nice to Have:

• Knowledge of financial reporting standards and typical financial statement structures.
• Experience deploying AI workloads in Microsoft Azure
• Familiarity with API design for ML deployment

Soft Skills

• Ability to work collaboratively with business stakeholders.
• Excellent communication skills to explain AI model behaviour and limitations to non-technical teams.

What We Offer

• Opportunity to build a greenfield AI product in the mineral economics domain.
• Work with cutting-edge LLM and AI tools.
• Modern, central office near to public transport and key amenities
• Competitive salary

===

Tentang Pekerjaan

Kami mencari Machine Learning (ML) Engineer yang berpengalaman untuk merancang, membangun, dan mengembangkan solusi machine learning serta artificial intelligence (AI), dengan fokus pada pengolahan dan pemrosesan dokumen. Peran ini akan berfokus pada pengintegrasian antara machine learning, large language models (LLM), dan data engineering , dengan tujuan menghasilkan wawasan terstruktur dari dokumen finansial dan ekonomi yang kompleks.

Kandidat ideal memiliki dasar software engineering yang kuat, pengalaman dalam membangun aplikasi berbasis AI, serta ketertarikan untuk menerapkan teknik NLP/LLM terbaru di sistem produksi.

Deskripsi Pekerjaan

• Berkolaborasi dengan tim web development untuk mengintegrasikan solusi AI ke platform internal maupun klien.
• Merancang pipeline untuk mengekstrak data terstruktur dari laporan keuangan, PDF, dan dokumen tidak terstruktur lainnya.
• Mengembangkan dan menyempurnakan workflow yang menggabungkan SLMs, LLMs, dan metode berbasis aturan untuk ekstraksi data yang akurat dan dapat dijelaskan.
• Membangun layanan dan API berskala untuk konsumsi data keuangan yang diekstrak, baik internal maupun klien.
• Mengintegrasikan tools dan pustaka open-source (seperti Hugging Face, LangChain, pdfplumber, Camelot, Tabula) serta API LLM komersial bila sesuai.
• Menyusun evaluasi performa model (akurasi, latensi, biaya) serta menjaga standar kualitas ekstraksi.
• Memastikan praktik rekayasa perangkat lunak yang kuat: pengujian, version control, CI/CD, containerisation, dan deployment di cloud.
• Berkontribusi pada riset serta mengikuti perkembangan terbaru dalam document AI, pustaka baru, dan teknik-teknik terkini

Kualifikasi

• Pendidikan: S1 (atau lebih tinggi) dalam Ilmu Komputer, Rekayasa Perangkat Lunak, Sistem Informasi, atau bidang terkait.
• Pengalaman: Minimal 3 tahun pengalaman profesional sebagai Machine Learning Engineer, AI Engineer, atau NLP Engineer.

Kemampuan Teknis (Wajib):

• Berpengalaman dalam membangun alat yang memanfaatkan LLMs/SLMs untuk pemahaman teks dan dokumen.
• Kemampuan pemrograman Python yang kuat.
• Familiar dengan pustaka parsing dokumen.
• Pengalaman langsung menggunakan basis data vektor (seperti Chroma, Pinecone, Weaviate) untuk retrieval-augmented generation.
• Latar belakang yang kuat dalam praktik rekayasa perangkat lunak (Git, CI/CD, pengujian).

Nilai Tambah:

• Pengetahuan tentang standar pelaporan keuangan dan struktur laporan keuangan umum.
• Pengalaman dalam deployment AI di Microsoft Azure.
• Familiar dengan desain API untuk deployment ML.

Soft Skills

• Kemampuan bekerja sama dengan tim dan pemangku kepentingan bisnis.
• Keterampilan komunikasi yang baik untuk menjelaskan perilaku dan keterbatasan model AI kepada tim non-teknis.

Apa yang Kami Tawarkan

• Kesempatan untuk membangun produk AI baru di bidang ekonomi mineral.
• Bekerja dengan LLM dan AI terbaru.
• Kantor modern dan strategis dekat transportasi umum dan fasilitas utama.
• Gaji yang kompetitif.

Company Description
PT Appfuxion Consulting Indonesia is a leading provider of digital solutions and software testing services to various industries in the Asia-Pacific Region, including Banking, Insurance, Retail, Telecommunication, and Hospitality. With a focus on delivering high-quality and innovative digital solutions, we have built a team of 500 skilled professionals who are experienced in software blueprint, architecture, process automation, quality assurance, and project management. Our customer-centric approach ensures that we are a natural extension of our clients' teams, delivering the right digital solutions on time and reducing project complexity.

Role Description
This is a full-time on-site role for a Senior Machine Learning Engineer located in Tangerang. As a Senior Machine Learning Engineer, you will be responsible for developing and implementing machine learning models, utilizing pattern recognition, neural networks, and algorithms. You will work closely with the team to analyze data, develop statistical models, and improve existing machine learning algorithms. In this role, you will also be responsible for evaluating and integrating new technologies, as well as collaborating with cross-functional teams to ensure the successful deployment of machine learning solutions.

Qualifications

• Strong knowledge and experience in Pattern Recognition, Computer Science, NLP, Generative AI, and Neural Networks
• Hands-on experience in Fine-Tuning LLM LLama Model
• Hands-on in Prompt Engineering
• Proficiency in Statistics, Algorithms, and data analysis
• Experience in developing and implementing machine learning models
• Ability to evaluate and integrate new technologies
• Excellent problem-solving and analytical skills
• Strong programming skills, preferably in Python or R
• Experience with machine learning frameworks and libraries, such as TensorFlow or PyTorch
• Knowledge of natural language processing and deep learning is a plus
• Bachelor's or Master's degree in Computer Science, Statistics, or a related field

Company Description

We suggest you enter details here.

Role Description

This is a full-time on-site role located in Surabaya for a Machine Learning Specialist. The Machine Learning Specialist will be responsible for designing and implementing machine learning models, conducting data analysis, building algorithms, and working with deep learning frameworks. The role includes performing research, developing data-driven insights, and collaborating with cross-functional teams to integrate machine learning solutions into various applications.

Qualifications

• Proficiency in Computer Science fundamentals
• Deep Learning and Machine Learning expertise
• Strong understanding of Statistics and Algorithms
• Experience with programming languages such as Python or R
• Strong analytical and problem-solving abilities
• Excellent written and verbal communication skills
• Ability to work independently and as part of a team
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field

Role Description

We are looking for a passionate and skilled Machine Learning Engineer to join our team. You will design, implement, and deploy scalable ML solutions (object detection) that integrate seamlessly with existing platforms and business workflows. This role requires hands-on expertise in building ML pipelines, strong programming skills, and the ability to collaborate with both technical and non-technical stakeholders.

Key Responsibilities

•    Design and implement machine learning solutions and integrate them into various platforms and system architectures.

•    Build, maintain, and optimize scalable ML pipelines that are production-ready.

•    Collaborate with domain experts (e.g., marketing, sales) and developers to deliver impactful ML-driven solutions.

•    Monitor, troubleshoot, and improve ML models, including retraining, revalidating, and tuning for performance.

•    Develop and maintain CI/CD pipelines tailored for machine learning workflows.

•    Research, experiment, and apply new ML methods, frameworks, and best practices to improve models and processes.

Requirements

•    Minimum 2 years of experience in developing and deploying ML models into real-world applications or business research.

•    Strong understanding of ML frameworks such as TensorFlow, PyTorch, Jupyter Notebook, or Anaconda.

•    Hands-on experience with ML services on cloud platforms (AWS, GCP) for ML pipelines, including GPU training (CUDA), model evaluation (TensorBoard), and deployment (SageMaker, Docker).

•    Proficiency in programming languages for ML, especially Python with relevant libraries.

•    Solid knowledge of ML algorithms: classification, detection, regression, clustering, hyperparameter tuning, etc.

•    Experience with image processing/computer vision techniques (e.g., OpenCV).

•    Familiarity with CI/CD processes and tools for ML deployment.

It Is a Plus If You Have

•    Experience with ML experiment tracking tools such as MLflow.

•    Hands-on knowledge of data labeling tools such as Label Studio.

•    Experience running ML workloads on Google Kubernetes Engine (GKE) or other Kubernetes platforms.

Jobdesc:

• Develop and implement machine learning models and algorithms to solve business problems, leveraging both structured and unstructured data.
• Design and build scalable and efficient data pipelines for data ingestion, preprocessing, and feature engineering.
• Collaborate with data scientists to understand business requirements and translate them into technical specifications.
• Conduct exploratory data analysis to gain insights and identify patterns or trends.
• Evaluate and select appropriate machine learning techniques, models, and algorithms based on the project requirements.
• Train, optimize, and fine-tune machine learning models using large-scale datasets.
• Validate and test models for accuracy, reliability, and robustness.
• Monitor and maintain deployed models, ensuring their performance and stability.
• Collaborate with Data Engineers to integrate machine learning models into production systems.
• Stay up to date with the latest advancements in machine learning and related fields, and actively contribute to the team's knowledge base.
• Communicate findings, results, and recommendations to both technical and non-technical to internal stakeholders or customers.

Requirements:

• At least 1 year of experience in Machine Learning & Data Science
• Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field. A master's or Ph.D. degree is a plus.
• Proven experience as a Machine Learning Engineer or similar role. A strong track record of developing and deploying machine learning models in real-world applications is essential.
• Experience with Generative AI by leveraging LLM model like Gemini, GPT 4o, Claude, Mistral, etc.
• Solid understanding of RAG technique in LLM model, Fine tuning, Prompt Engineering.
• Proficiency in programming languages such as Python, R, or Scala, with experience in popular machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of machine learning techniques, including supervised and unsupervised learning, deep learning, natural language processing, and/or reinforcement learning.
• Experience with data manipulation, preprocessing, and feature engineering techniques.
• Strong knowledge of statistical analysis, hypothesis testing, and experimental design.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and distributed computing frameworks (e.g., Hadoop, Spark).
• Proficiency in SQL and database management systems.
• Strong problem-solving skills and the ability to work on complex and ambiguous business problems.
• Excellent communication and teamwork skills, including the ability to collaborate effectively with cross-functional teams.

Requirement :

1. Memahami AI & NLP
2. Mengerti cara kerja (LLM) seperti GPT, Gemini, atau LLaMA dan familiar dengan konsep machine learning, tokenization, fine-tuning, dan embedding.
3. Mempunyai kemampuan merancang prompt yang jelas, efektif, dan bisa menghasilkan output sesuai kebutuhan.
4. Mempunyai kemampuan Data Analysis & Programming python.
5. Pengalaman menggunakan platform AI (LangChain, RAG pipeline).
6. Familiar dengan vector database (Pinecone, Weaviate,postgresql).

Description:

A Machine Learning Engineer train machine learning (ML) and deep learning (DL) models or implement pretrained models to perform visual recognition tasks, text generation, classification, etc.

• Design & implement ML/DL solutions and integrate them with various Big Data platforms and architectures.
• Creating and maintaining ML pipelines that are scalable, robust, and ready for production.
• Collaborate with domain experts, software developers, and product owners.
• Troubleshoot ML/DL model issues, including recommendations for retrain, revalidate, and improvements/optimization.
• Realize Continuous Integration (CI) and Continuous Deployment (CD) pipelines within ML/DL platforms.

Requirements

• :3 years of hands-on experience in building ML models deployed into real-world business applications or research
• .Good understanding of ML/DL framework such as Jupyter Notebook, Anaconda, Tensorflow, Keras, Scikit-Learn, PyTorch, MXNet, etc
• .Experience working with cloud services platform (AWS or Azure) to build ML/DL pipelines; training (GPU CUDA), evaluating, deploying (SageMaker, Docker container)
• .Proficiency with Python and basic libraries for ML such as scikit-learn and panda
• sStrong working knowledge of ML/DL algorithms (classification, regression, clustering, hyperparameter tuning, etc)
• .Experience in working with LLM for text and image generatio

**n

Preference**

• s:Having a working knowledge of AI agents is nice to ha
• veExperience with Image Processing/Computer Vision is nice to ha
• veExperience with Continuous Integration and Continuous Delivery(CI/CD) is nice to ha
• veWe will also factor in relevant certifications (e.g., AWS, Azure, Courser

a)