AI/ML Engineer

Jakarta
Permanent
Full-time

2 months ago
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An AI/ML Engineer is responsible for designing, developing, and deploying machine learning or artificial intelligence solutions that solve complex problems and enhance business outcomes. This role involves leveraging AI technologies to optimize processes, improve efficiency, and drive strategic business growth. This role will work on developing advanced models, integrating them into systems, and collaborating with cross-functional teams to deliver innovative AIdriven solutions that support the organization's objectives.Key Responsibilities:

Design, develop, and train machine learning and deep learning models
Experiment with different architectures and configurations to optimize model performance
Integrate AI models into existing systems and applications
Deploy models into production environments and ensure their proper functioning
Optimize models for performance, scalability, and cost-effectiveness
Conduct research to explore new methodologies and techniques for LLM optimization
Work closely with data engineers, business intelligence, software engineers, product managers and management
Communicate technical concepts and results to non-technical stakeholders
Collaborate to define project requirements and deliverables
Monitor the performance of the models in production and continuously improve models based on feedback and new data
Document the development process, models, and algorithms
Prepare reports and presentations on project progress and outcomes

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
Proven working experience in machine learning, deep learning, and AI model development
Hands-on experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Keras, v, etc)
Proficiency in Python and one or more programming languages such as Java, Javascript, or GoLang is a plus
Experience with training, fine-tuning, and deploying LLMs (e.g., GPT, LLAMA, mistral)
Understanding of software development principles and practices
Strong problem-solving abilities and analytical thinking
Ability to work collaboratively in a team environment and effectively communicate technical concepts to non-technical stakeholders

Benefits

Supportive teammates
Health insurance benefits
Self development activities that support careers
Hybrid working arrangement

Stockbit