Senior AI Machine Learning Engineer

Dana Indonesia; Daerah Khusus Ibukota Jakarta; On-site; USD 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company as a Senior AI and Machine Learning Engineer, where you'll design and deploy intelligent systems that transform Big Data into impactful products. This role involves leading high-impact AI/ML initiatives, developing scalable machine learning pipelines, and mentoring a team of engineers and data scientists. You'll collaborate with various teams to translate business objectives into innovative solutions, while ensuring adherence to responsible AI practices. If you're passionate about driving innovation and making a significant impact in the tech landscape, this opportunity is perfect for you.

Qualifications

• 5+ years of experience in AI/ML engineering or data science roles.
• Strong proficiency in SQL, Python, and Bash is required.
• Proven track record of deploying models into production environments.

Responsibilities

• Lead the design and development of AI/ML models and pipelines.
• Provide technical leadership and mentorship to junior engineers.
• Collaborate with cross-functional teams to deliver impactful AI/ML solutions.

Skills

AI/ML Engineering

Python

SQL

Bash

Machine Learning Libraries

Cloud Platforms

Analytical Skills

Leadership

Education

Bachelor's or Master's in Mathematics

Bachelor's or Master's in Statistics

Bachelor's or Master's in Computer Science

Bachelor's or Master's in Engineering

Tools

TensorFlow

PyTorch

Scikit-learn

Hugging Face

Docker

Kubernetes

Job description

As Senior AI and Machine Learning Engineer at DANA, you will play a strategic role in designing and deploying intelligent systems that transform Big Data into impactful Data Products powering the DANA mobile app. You will lead high-impact initiatives that integrate advanced AI/ML technologies into real-world applications, driving innovation, automation, and smarter experiences for millions of users.

Key Responsibilities:

• Lead the design and end-to-end development of AI/ML models, from classical machine learning on structured data to cutting-edge Generative AI solutions including Transformers and Generative Adversarial Networks (GANs).
• Architect scalable and production-ready machine learning pipelines, ensuring robustness, efficiency, and maintainability across the full development lifecycle—data ingestion, feature engineering, training, evaluation, and deployment.
• Provide technical leadership and mentorship to junior engineers and data scientists, fostering a culture of learning and innovation within the team.
• Collaborate closely with cross-functional teams (engineering, product, analytics, and business units) to translate business objectives into AI/ML solutions that deliver measurable impact.
• Stay current with advancements in AI/ML research and technology; proactively evaluate and integrate new tools, frameworks, and methodologies to improve model performance and development workflows.
• Ensure adherence to responsible AI practices, including fairness, explainability, and model governance.

Qualifications & Requirements:

• Educational Background: Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related STEM field. Background in quantitative social sciences with strong technical foundation is also considered.
• Experience:
  • Minimum 5+ years of hands-on experience in AI/ML engineering or data science roles, including leading end-to-end AI/ML projects.
  • Proven track record of deploying models into production environments and optimizing for performance at scale.
• Technical Skills:
  • Strong proficiency in SQL, Python, and Bash is required.
  • Experience with ML libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face.
  • Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and containerized environments (e.g., Docker, Kubernetes) is a strong advantage.
• Analytical & Problem-Solving Skills:
  • Advanced critical thinking and structured problem-solving capabilities.
  • Ability to translate complex data problems into impactful solutions.
• Leadership & Communication:
  • Excellent verbal and written communication skills.
  • Strong stakeholder management and ability to bridge technical and business discussions effectively.
  • Experience in mentoring or leading a technical team is highly desirable.