Machine Learning Engineer | Tribun Network | SuperApps

Job Description :

Research, implement, and validate state-of-the-art algorithms, particularly in Personalization, NLP, and Generative AI, using A/B testing and other rigorous methods.

Develop predictive models and AI-driven products to optimize data insights, ad targeting, recommendation, content assistance, and overall business support.

Work extensively with large-scale datasets to develop and enhance data-driven applications and media offerings.

Drive innovation by identifying and crafting new AI-powered opportunities and products tailored to Tribun’s evolving business needs.

Minimum Requirements

2+ years of hands-on ML engineering / AI Engineer experience, including feature engineering, model building, data processing, and statistical analysis.

BS/MS in Computer Science, Mathematics, or a related field, or equivalent practical experience.

Solid software engineering (Python, Java, etc) with experience in building and implementing robust code.

Proficiency core data structures , and at least one major ML framework (e.g., TensorFlow, PyTorch, etc).

Experience in large-scale data queries to transform for both structured and unstructured data.

Proven experience developing and deploying user personalization systems or other Inference engines in a production environment.

Preferred Requirements

Deep understanding and practical application of embedding techniques, various retrieval algorithms, and data modeling for vector databases.

Experience working directly with NLP and Generative AI frameworks (e.g., Bedrock, LangChain, or LlamaIndex).

Proficiency with cloud platforms (AWS is highly preferred, GCP is a plus).

Hands-on experience with containerization technologies (Docker, Kubernetes) for deploying and scaling applications.

Hands-on MLOps, including model serving, robust monitoring strategies, automated model refresh management, and CI/CD for ML.