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PT Tricada Intronik
http://www.tritronik.com/

AI/ML Presales Engineer

Looking for
S1

  • Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related technical field. Equivalent practical experience or certifications will also be considered.  
  • 2–3 years of experience in presales, solution architecture, or technical consulting, with a focus on AI/ML initiatives, data platforms, or analytics-driven solutions.  
  • Experience designing or supporting AI workflows, data pipelines, or ML model deployment scenarios.  
  • Proficiency in designing AI/ML-powered solutions, including model training pipelines, inference workflows, and data preprocessing architectures.  
  • Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or MLflow, and experience integrating them into enterprise or production settings.  
  • Hands-on understanding of data engineering, including streaming data processing, ETL/ELT workflows, and orchestration tools.  
  • Knowledge of cloud-native development and deployment using platforms such as AWS Sagemaker, Google Vertex AI, Azure ML, or custom containerized ML environments.  
  • Ability to present end-to-end AI solutions that combine data ingestion, model building, MLOps, and business intelligence layers.  
  • Strong grasp of Kafka, Spark, Hadoop, and distributed systems that support real-time or batch data workloads for AI use cases.  
  • Understanding of DevOps/MLOps practices, including CI/CD for ML, containerization (Docker), and model versioning.  
  • Exposure to data governance, model explainability, ethical AI principles, and regulatory alignment (e.g., GDPR, PII handling).  
  • Strong communication skills to convey complex AI/ML concepts to both technical and non-technical stakeholders.  
  • Certifications in cloud data/AI (e.g., AWS Certified Machine Learning, Google Professional Data Engineer) are a strong plus.  
  • Engage with clients to identify opportunities for applying AI/ML, translating business goals into technical solution designs.  
  • Craft and deliver technical proposals, PoCs, and solution blueprints that showcase AI/ML capabilities integrated with modern data infrastructure.  
  • Design scalable data ingestion and model deployment strategies, highlighting performance, reliability, and maintainability.  
  • Collaborate with sales, product, and engineering teams to align client needs with AI/ML use cases and delivery capabilities.  
  • Guide clients through feasibility assessment, model lifecycle planning, and AI readiness evaluation.  
  • Support the integration of AI into existing systems, whether through cloud platforms, APIs, or on-prem inference engines.  
  • Stay current with the AI/ML landscape—including generative AI, foundation models, AutoML, and vector databases—and incorporate relevant innovations into solutioning.  
  • Document solution architectures, data flow diagrams, and ML lifecycle strategies to support handover and implementation phases.  
  • Promote best practices in MLOps, explainability, and responsible AI to ensure secure, ethical, and future-proof AI adoption.  

 

Please click APPLY to submit your CV

The interview sessions will be held during the ITB Career Days on October 31 – November 1, 2025.

Only shortlisted candidates will be contacted.
Jakarta
17 November 2025
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