Job description
Jalasoft is looking for an experienced AI/ML Engineer specializing in Computer Vision and MLOps to join our innovative team. In this role, you will be responsible for developing, deploying, and maintaining machine learning models focused on computer vision applications. You will also implement best practices in MLOps to ensure the seamless integration of models into production systems. This is an exciting opportunity for someone passionate about advancing AI technologies and driving impactful solutions.
Must-Have Skills:
- 3+ years of experience with machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch, scikit-learn), and common data science libraries.
- Solid knowledge and experience of foundational AI and ML concepts.
- Experience in Computer Vision techniques.
- Experience with cloud AI platforms such as Vertex AI or SageMaker.
- Hands-on experience developing and deploying ML models in production environments.
- Build optimized data pipelines to feed ML models with Kubeflow, docker and CI/CD/CT.
- Proficient in Python programming.
- Experienced in using Jupyter notebooks.
- Strong understanding of software engineering best practices.
Professional Attributes:
- Passion for building innovative solutions with AI/ML.
- Sound business ethics, including the protection of proprietary and confidential information.
- Strong verbal, interpersonal, and written communication skills.
- Self-motivated with effective time management skills.
Your Day-to-Day May Involve:
Turning research prototypes into production-ready systems.
Collecting, cleaning, and preparing datasets for ML training.
Designing efficient data pipelines for ML models.
Refining models based on performance feedback.
Automating training, evaluation, and deployment workflows.
Keeping current with the latest AI/ML research trends.
Communicating results effectively to stakeholders.
Taking part in agile planning and team discussions.
Estimating effort and timelines for tasks.
Remote work
13 floating holiday
15 vacation days per year completed
Good working environment
