Cantik Technologies - Machine Learning Engineer - Artificial Intelligence Solutions

Description :

Machine Learning Engineer/AI Trainer & SME

Role Summary :

We are looking for a highly skilled Machine Learning Engineer with strong training and SME capabilities to design, build, and operationalize ML/AI solutions while enabling large and global audiences through structured training programs.

The role requires deep hands-on expertise in Machine Learning, Deep Learning, LLMs, Python, and MLOps, along with the ability to guide stakeholders in building scalable learning and AI solutions.

Technical & Engineering Responsibilities :

- Design, develop, and deploy Machine Learning models from scratch, covering:

- Supervised, Unsupervised, and Semi-supervised learning

- Regression, Classification, and Clustering techniques (KNN, Linear/Logistic Regression, etc.)

- Build and optimize Deep Learning models using modern DL frameworks.

- Apply strong statistical foundations including hypothesis testing, probability, and model evaluation.

- Develop end to end ML pipelines using Python and industry-standard ML libraries.

- Implement and operationalize models using MLOps best practices: Model versioning, CI/CD, monitoring, and retraining

- Work on LLM-based solutions, including prompt engineering, fine-tuning, and integration into applications.

- Integrate ML solutions with cloud platforms and enterprise systems.

- Collaborate with engineering and platform teams to integrate ML models with other technologies and applications.

Training & Enablement Responsibilities :

- Design and deliver high-quality training programs on ML, Deep Learning, LLMs, and MLOps for :

- Large internal groups

- Global/multi geography audiences

- Conduct hands-on workshops, labs, and technical deep dive sessions.

Create learning artifacts such as :

- Training decks

- Hands-on exercises

- Case studies and capstone projects

- Mentor and guide learners across varying skill levels (beginner to advanced).

SME & Stakeholder Support :

- Act as a Subject Matter Expert (SME) to support stakeholders in :

- Designing AI/ML learning journeys

- Building and validating ML/AI use cases

- Reviewing technical architectures and solution approaches