Senior AI Engineer

6 days ago

WFO Jakarta Selatan, Indonesia Pt. Geek Hunter International Full time 15,000,000 - 20,000,000 per year

Job Description

About the company

Geekhunter is currently hiring on behalf of a client that focuses on developing software applications and services in areas such as mobile applications, artificial intelligence, the Internet of Things, cloud computing, and data management.

Job Responsibilities

  • A high-impact research and development initiative is seeking an experienced Senior AI Engineer with deep expertise in machine learning and recommendation systems. The selected candidate will play a key role in building and optimizing deep learning models tailored to specific domains such as gaming and media, with deployment at scale via cloud-based MLOps infrastructure.
  • Design and optimize cutting-edge deep learning recommendation systems for real-world applications.
  • Implement scalable machine learning solutions using cloud environments (e.g., Azure) and platforms like Databricks.
  • Develop domain-specific recommendation models, particularly for gaming and media-related use cases.
  • Stay abreast of advancements in machine learning, recommendation algorithms, and AI development tools.
  • Contribute to end-to-end workflows including feature engineering, model training, evaluation, deployment, and maintenance.

Job Requirements

  • Candidates who have completed or are in the final year of a Ph.D. in Machine Learning, Computer Science, or a closely related discipline are strongly preferred.
  • 5+ years of hands-on experience in machine learning, AI engineering, or NLP, with exposure to large language models (LLMs).
  • Strong coding proficiency in Python, and experience with frameworks like TensorFlow or PyTorch.
  • Background in data analysis, business reporting, and insight generation.
  • Experience with on-device model deployment is highly valued.
  • Solid grasp of MLOps tools and practices, including model lifecycle management in Databricks.
  • Demonstrated success in developing and deploying deep learning recommendation systems.
  • Ability to tailor machine learning models for specialized use in gaming and media sectors.
  • Strong communication and collaboration skills in cross-functional environments.

Benefits

  • Opportunity to work with a dynamic and innovative team.
  • Professional development and career growth opportunities.
  • THR, BPJS-K, BPJS-TK, Bonus, Private Insurance
  • Working Tools Provided 

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