What Jobs are available for Machine Learning Engineer in Indonesia?

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

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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

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)

Location: Meruya, West Jakarta

Full-time I Hybrid (3WFO + 2WFH)

At

We are looking for a ML Engineer with strong expertise in Data Science and exposure to Generative AI to join our growing team.

Key Responsibilities:

1. Design, develop, and implement machine learning and generative AI models aligned with business objectives.
2. Own end-to-end ML/AI projects: from scoping, data preparation, model development, deployment, monitoring, to continuous improvement.
3. Collaborate with stakeholders to translate business needs into actionable technical solutions.
4. Proactively identify opportunities where AI/ML can deliver business impact.
5. Ensure scalability, reliability, and cost-efficiency in solutions using best practices in MLOps and cloud-native architecture.
6. Continuously optimize ML pipelines and workflows for performance.
7. Stay ahead with the latest AI/ML advancements (esp. Generative AI) and advocate adoption within the team.
8. Take ownership and demonstrate accountability across the project lifecycle.

Qualifications:

• 3–5 years of relevant experience in Data Science / Machine Learning.
• Proficiency in Python (preferred), R, or Julia.
• Proven track record in the end-to-end ML lifecycle (data preprocessing, feature engineering, model building, deployment, monitoring, optimization).
• Hands-on with ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn, Keras).
• Familiarity with Generative AI (LLMs, embeddings, prompt engineering, fine-tuning, vector DBs, RAG).
• Experience with structured databases (MySQL, PostgreSQL, Snowflake) and unstructured data (Elasticsearch, MongoDB).
• Hands-on with cloud platforms (AWS preferred, GCP/Azure a plus).
• Bonus: MLOps expertise (CI/CD for ML, pipeline orchestration, model registry, monitoring).
• Strong foundation in math, statistics, and problem-solving.

Why Join Us?

Opportunity to work on impactful AI/ML projects.

Collaborative and innovative team environment.

Career growth, health insurance, meals provided, etc.

We are looking for a
Senior Machine Learning Engineer (SDE 3)
to play a key role in delivering high-impact projects. This position requires strong technical expertise, ownership, and the ability to work across complex systems that blend data engineering and software development.

Key Responsibilities

• Lead the development and implementation of key strategic projects.
• Provide technical and maintenance support for existing systems.
• Contribute to the continuous improvement of in-house enterprise systems.

Qualifications

• 5+ years of experience as a Software Engineer, with a strong foundation in both Data Engineering and Software Development.
• Proven expertise in big data technologies and cloud platforms (Google Cloud Platform or AWS), especially within distributed pipelines.
• Knowledge of graph databases is a strong plus.
• Solid understanding of machine learning concepts and real-world applications.
• Strong skills in data analysis and log exploration.
• Excellent problem-solving, troubleshooting, and a collaborative, proactive mindset.

Why Join Us?

• Take ownership of mission-critical projects that directly impact business growth.
• Work with cutting-edge technologies across big data, cloud, and ML systems.
• Be part of a dynamic and innovative environment that values initiative and expertise.

At Kredivo we are building the future of financial services that are fast, cheap and widely accessible, wrapped up in a beautiful UX. As we are growing bigger, we are looking for
Machine Learning Engineer
who will closely collaborate with Data Science team in feeding data (across functions such as, credit scoring, fraud, and risk) into financial models defined by data scientists. You will also be responsible to make sure that data science code is maintainable, scalable and debuggable.

Job Responsibility

• Develop and implement ML pipeline infrastructure, including but not limited to: ETL (Extract, Transform and Load) of raw data into model features and building platform to automate ML training, testing and maintenance.
• Partnering with Data Scientists to transform prototypes of predictive models into high performance, well integrated systems.

Qualifications

• 2-3 years of relevant experience in Data or Software Engineering and minimum 1-2 years hands-on experience in deploying machine learning models and feature pipelines
• Having good knowledge of data structures, data modeling and software architecture related to Machine Learning
• Ability to write robust production-ready code in Python & GoLang
• High degree of proficiency with RDBMS (i.e. MySQL, PostgreSQL) and No-SQL platforms (i.e. S3)
• Proficiency in machine learning libraries such as: Tensorflow/Keras, Pytorch, SparkML or MLeap
• Strong interest in building scalable and reliable Machine Learning Engineering/AI related services
• Past experience working with cloud services platform to build data pipelines, monitoring, scheduler and storage, preferably on AWS environment.
• Familiarity using a distributed computing platform, such as Hadoop or Spark

Thank you for your interest in Kredivo. We're thrilled that you'd like to join our company. Unfortunately, days are short and applicants are many, so we won't have time to meet everyone. If you are among qualified candidates, you will receive a call or email from our Talent Acquisition team.

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 Machine Learning Engineer located in Tangerang (Alam Sutera). As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning models that utilize pattern recognition, neural networks, and advanced 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

BUTUH CEPAT

Dibutuhkan kandidat yang bersedia untuk mulai bekerja selambat-lambatnya pertengahan September

Peluang KarirSebagai Machine Learning Engineer, Anda akan memainkan peran kunci dalam mengembangkan solusi berbasis AI dan machine learning yang membawa dampak besar bagi bisnis kami. Kandidat terbaik akan memiliki pemahaman teknis yang kuat, kemampuan pemecahan masalah yang hebat, dan antusiasme untuk mengembangkan produk canggih yang mengubah masa depan.

Tanggung Jawab Utama

• Identifikasi, analisis, membersihkan, dan kurasi data untuk fine-tuning
• Melakukan LLM fine-tuning dan adaptasi sesuai kebutuhan
• Bereksperimen dengan hyperparameter untuk mencapai performa model optimal
• Merancang, membangun, dan mengoptimalkan model machine learning agar sesuai dengan kebutuhan
• Mengevaluasi dan memvalidasi kinerja model machine learning, mengidentifikasi area perbaikan, dan menerapkan penyempurnaan yang diperlukan
• Berkolaborasi dengan tim produk dan software engineer untuk mengintegrasikan model ke dalam produk dan solusi
• Membantu membangun infrastruktur dan arsitektur machine learning yang kokoh dan dapat diskalakan (GPU, VRAM, tools lainnya)
• Mendokumentasikan proses fine-tuning dari eksperimen, metode, performa, dan pemilihan arsitektural

Keterampilan dan Kualifikasi yang Dibutuhkan

• Gelar sarjana atau master di bidang Ilmu Komputer, Machine Learning, Matematika, Statistika, AI, atau bidang terkait
• Minimal 2 tahun pengalaman sebagai Machine Learning/NLP Engineer atau peran serupa
• 1 tahun pengalaman dalam LLM fine-tuning
• Kemampuan bahasa pemrograman Python dan data manipulation libraries (Pandas, Numpy)
• LLM fine-tuning libraries (transformers, datasets, peft (LoRA/QLoR), dan trl (SFTTrainer)
• Deep learning frameworks (PyTorch/TensorFlow)
• Kemampuan pemecahan masalah yang baik dan kemampuan berpikir analitis
• Komunikasi verbal dan tertulis yang sangat baik
• Antusiasme untuk belajar dan menerapkan teknologi machine learning terbaru

Manfaat Menarik

• Kesempatan untuk terlibat dalam proyek-proyek inovatif
• Lingkungan kerja yang kolaboratif dan mendukung, mendorong pertumbuhan profesional

Tentang PT Bajau EscorindoPT Bajau Escorindo adalah perusahaan teknologi terkemuka di Indonesia yang berkomitmen untuk mengembangkan solusi inovatif berbasis AI dan machine learning yang mendorong kemajuan digital. Dengan pertumbuhan yang pesat dan tim yang penuh semangat, kami mencari talenta terbaik untuk bergabung dengan kami dalam perjalanan transformasi teknologi kami.