Machine Learning Engineer (Team Lead)
Senior level, Full Time
Job description
We are a subsidiary of Muangthai Group Holding, with a mindset of a technology start-up. We are looking to innovate and transform various industries with the power of AI and machine learning with the mission to make AI accessible to all businesses. If you are self-motivated, passionate about how AI and technology can improve people’s lives, join us to be part of the growth story.
- Research and implement appropriate ML algorithms and tools using deep learning and artificial neural networks
- Designing AI/ML pipelines
- Train and retrain systems, classifiers, and networks when necessary
- Extend existing ML libraries and frameworks
- Being a leader bringing energy, growth mindset to challenge engineers for excellence
- Determine project requirements and developing work schedules for the team
- Delegate tasks and achieving daily, weekly, and monthly goals
- Document, summarize, and present findings to a group of peers and stakeholders. across multiple modeling projects
- Work with data team to acquire clean data and labelling
- Work with dev team to deploy the applications
Qualification
- Minimum of Bachelor’s degree in Computer Engineering, Computer Science or related field
- 5+ years full-time work experience
- Expert knowledge and hands-on experience with Python, PyTorch or TensorFlow and packages commonly used for Machine Learning and Deep Learning or other programming languages
- Proven experience in and understanding of NLP or machine vision
- Experience with public cloud provider (AWS, GCP, Azure) or deployment of web service
- Proficient in English with excellent oral and written communication skills.
- Self-starter. Can work with minimal amount of supervision.
- Passionate about your work and its performance that it upset or at least makes you wonder why other people’s model performs better.
- Programming and hacking and trying new packages out is your hobby.
- Have the desire to prove your idea right but always open to team’s opinion. Judge everything based on evidence.
- Experience in leading a team, working with young engineers, whether big or small.
Why work with us?
- Competitive salary
- Online Course and Career Development Courses
- Flexible working hours and work environment
- Work from home
- Annual Health Checkup
- Health and life insurance plan
- Dental Allowance
- Provident fund
- Company sponsored laptop
- Company Outing
- Company Town Hall
- Board Games
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