AI / Machine Learning Engineer - Middle

Middle — Production

We are seeking a Middle skilled AI/Machine Learning Engineer working on an advanced computer vision system for automated analysis of geological core sample images. This role involves developing, optimizing, and deploying AI/ML models that address real-world challenges using state-of-the-art (SOTA) techniques. You will be involved in mentoring, training, and leading research with clear technical direction to help other AI Team members grow as a major key team for the company in the next phase.

Job duties and responsibilities

AI Solution Design & Development

• Implement and optimize deep learning models across domains such as NLP, Computer Vision, and Generative AI (LLMs, diffusion models, etc.).
• Translate high-level concepts and research outcomes into scalable, production-ready systems.
• Develop reusable modules, pipelines, and components following engineering best practices.
• Collaborate with AI Researchers, AI Engineers, and product teams to to bring innovative ideas to life

Data Engineering & Modeling

• Handle structured and unstructured data from images, videos, and text.
• Conduct data cleaning, feature engineering, and augmentation to prepare datasets for model training.
• Apply and fine-tune deep learning architectures (e.g., CNNs, Transformers, GANs) for targeted use cases.
• Implement SOTA techniques from research papers to improve model performance.

System Integration, MLOps & Deployment

• Build end-to-end ML pipelines for training, evaluation, deployment, and monitoring.
• Use MLOps tools (MLflow, Apache Airflow, DVC, Airflow) for tracking and reproducibility.
• Containerize ML applications with Docker and deploy using CI/CD pipelines.
• Utilize cloud platforms (AWS Bedrock, GCP Vertex AI, Azure ML) for scalable deployment.
• Monitor production model performance and implement retraining/update mechanisms.

Computer Vision & Image Processing

• Develop classical computer vision algorithms for geometry-based tasks (corner detection, line fitting, and contour analysis).
• Implement post-processing pipelines (mask refinement, polygon extraction, bounding box localization)
• Create visualization tools for model predictions and debugging
• Handle edge cases and improve robustness of detection/segmentation algorithms

Collaboration & Continuous Improvement

• Collaborate with cross-functional teams (software, product, business) to align AI solutions with user and business needs.
• Stay updated with the latest trends and advancements in AI, deep learning, and generative models.
• Contribute to internal knowledge sharing and technical documentation. Participate in code reviews, propose technical improvements, and mentor junior engineers in AI best practices.

Job requirements and qualifications

• Bachelor's degree or higher in Computer Science, Machine Learning, or related field
• Practical experience in mentoring and leading medium-size team (3–5 members)
• Practical working experience with Python and all Computer Vision-related technologies and image processing tools (OpenCV, Pytorch, UNet, Deeplab, PaddleOCR, ...)
• Led development of complex multi-model CV systems
• Proven track record of model optimization for production
• Mentored junior engineers in ML/CV tasks

Soft Skills

• Strong problem-solving and debugging skills
• Strong learning and research skills
• Ability to work independently and take ownership
• Clear communication in English and Vietnamese for technical and non-technical audiences
• Research-oriented mindset: ability to read papers and implement novel techniques
• Attention to detail in model evaluation and error analysis

Nice to have:

• Experience with geological, medical, or industrial defect inspection domains
• Experience with NLP/LLM technologies is a plus
• Knowledge of classical CV algorithms (SIFT, SURF, template matching)
• Familiarity with other DL frameworks: TensorFlow, JAX
• Experience with cloud deployment (AWS, GCP, Azure)
• Knowledge of Docker and containerization
• Experience with MLOps tools (MLflow, Weights & Biases, DVC)

Benefits and perks

Compensation & Bonuses

• Competitive salary package with attractive bonuses
• Up to 100% salary during probation period
• Holiday bonuses throughout the year
• 13th-month salary & performance bonus based on business results and individual performance

Working Environment

• 5 working days/week (Monday to Friday)
• Flexible remote working policy
• Free pantry & daily snacks

In-house gym facilities

• Comfortable nap/rest areas
• Employee discounts at Enouvo Cafe in the same building.

Healthcare & Insurance

• PVI Healthcare insurance for employees
• Family healthcare support under company policy
• Full social, health, and unemployment insurance coverage
• Annual health check-up

Leave & Work-life Balance

• 12 paid annual leave days
• Leave carry-over policy
• Special sick leave support
• Social insurance leave benefits in accordance with regulations
• Additional leave days based on seniority
• Paid marriage and bereavement leave

Company Culture & Internal Activities

• Wedding, newborn, and birthday gifts
• Employee wellness and hospital visit support
• Internal Activities (Annual Company Trip, Year-End Party, celebration events,..)
• Project & functional team building activities
• Sport clubs: football, badminton, and more

Learning & Development

• Udemy Business account, Elsa Premium account for English learning
• Weekly internal knowledge-sharing sessions
• Opportunities to become a mentor for interns and students
• Professional certification rewards
• Participation in Hackathons & innovation, AI activities,..

How to Apply

Does this role sound like a good fit Email us at [Confidential Information]

• Include the role title in your subject line.
• Send along links that best showcase the relevant things you've built and done