
Machine Learning Engineer (azure)
Job Requirements
Skills
Python
RAG
Artificial Intelligence
Job benefits
Team-building events
Build camaraderie and trust within the company
Free food & beverages
Overflowing pantry or meal allowances, offering free food at work helps with company morale
Workstation assistance
Laptop or desktop? We don’t mind! As long as you’re happy with the tool to help you!
Professional Development
Reimburses qualified educational expenses for you who take classes through accredited institutions
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Job description for Machine Learning Engineer (azure) at PT Karsa Omni Teknologi Adicipta
We’re looking for an ML Engineer who thrives at the intersection of Generative AI and cloud innovation. If you’ve worked with Azure and are passionate about pushing the boundaries of AI—whether it’s building GenAI models, fine-tuning pipelines, or scaling solutions—this is your moment to lead transformative projects
.
What You’ll Do:
✅ Build with GenAI : Design and deploy GenAI-powered solutions that solve real-world problems—whether it’s content generation, automation, or personalization.
✅ Leverage Azure : Use Azure Machine Learning, Cognitive Services, and other tools to build scalable, production-grade AI systems.
✅ Optimize & Scale : Fine-tune models for performance, accuracy, and efficiency in cloud environments.
✅ Collaborate Across Teams : Partner with data scientists, engineers, and product managers to deliver impactful AI solutions.
✅ Stay Ahead of the Curve : Experiment with emerging tools, frameworks, and techniques to keep us at the forefront of AI innovation.
Who You Are:
✅ GenAI Expertise : Hands-on experience with Generative AI models, tools, and frameworks (e.g., Hugging Face, TensorFlow, PyTorch).
✅ Azure Power User : Familiarity with Azure Machine Learning, Azure Kubernetes Service (AKS), or related services.
✅ Problem Solver : You don’t just build models—you think about how they integrate into products and solve user needs.
✅ Data-Driven Mindset : Comfortable working with large datasets, pipelines, and cloud platforms.
✅ Curious Innovator : Passionate about staying ahead of AI trends and exploring new possibilities.
Bonus Points For:
✨ RAG Experience : Built Retrieval-Augmented Generation (RAG) solutions or similar hybrid AI systems.
✨ MLOps Mastery : Hands-on experience with CI/CD pipelines, model monitoring, or automated workflows in Azure.
Why Join Us?
Because AI isn’t just about building models—it’s about creating impact
. with us , you’ll:
✨ Gain hands-on experience with cutting-edge AI technologies and Azure’s robust ecosystem.
✨ Work with a team that values innovation, collaboration, and your unique expertise.
✨ Shape solutions that redefine industries and transform user experiences.
If you’re ready to push boundaries, innovate with Azure, and leave your mark on the AI landscape, let’s talk
. Surround yourself with a team that trusts your instincts and celebrates your contributions.

We are KOTA Digivice, founded in 2017, we are software house focusing on developing systems for enterprises and government by collaborating with our team and various partners in this highly dynamic field.
18 Office Park 10th A Floor Jalan TB Simatupang No. 18, Kel. Kebagusan, Kec. Pasar Minggu, Kota Adm. Jakarta Selatan, Prov. DKI Jakarta
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