ML Engineer (Deep Learning)

• Deskripsi pekerjaan ML Engineer (Deep Learning) Dot Indonesia
• About DOT Indonesia

DOT Indonesia has been delivering fully customized IT solutions since 2011, guided by our mission to create intelligent, competitive products that drive exceptional outcomes for our clients. Rooted in agile philosophy, we adapt and innovate to meet evolving business needs.

Over the years, we have successfully collaborated with several clients from different business sectors, such as mining & energy, finance, e-commerce, education, human resource, and government.

Our diverse team of strategists, designers, technologists, and creators work together to turn ideas into reality. Whether you're a thinker, explorer, maker, or creator, there’s a place for you at DOT Indonesia. Join us as a DOT Ranger and grow your career with our AHEAD (agile, harmony, excellent, altruistic, and driven) values!

About The Role

As a Machine Learning Engineer specializing in Deep Learning, you will be responsible for developing, deploying, and maintaining Machine Learning and Deep Learning models while supporting the engineering and operational lifecycle of production ML systems.

• Job Responsibilities
• Develop and implement Machine Learning and Deep Learning models.
• Build and deploy Deep Learning solutions using PyTorch, TensorFlow, or related frameworks.
• Develop software components supporting ML applications.
• Support ML operations such as model monitoring, drift detection, and automated retraining.
• Evaluate and improve model performance and reliability.
• Collaborate with engineering and data teams to integrate ML models into applications and production environments.
• Job Requirements
• Minimum Bachelor’s degree (S1) in Computer Science, Data Science, Artificial Intelligence, or related field.
• Minimum 2 years of experience in software development/programming.
• Minimum 1 year of experience developing Machine Learning models or working with MLOps.

Experience with areas such as

• Model monitoring
• Drift detection
• Automated retraining
• Minimum 1 year of experience building or implementing Deep Learning models.
• Proficiency in PyTorch or TensorFlow.
• Able to provide relevant project references.

Benefit

• Competitive salary + daily allowance
• Friendly and dynamic work environment
• BPJS Kesehatan
• BPJS Ketenagakerjaan + Jaminan Pensiun
• *only short-listed candidates will be contacted