Machine Learning Engineer
Machine Learning Engineer
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Job Description
We are seeking a Machine Learning Engineer with a strong foundation in deep learning to join a crossfunctional team focused on trade optimization and customer engagement. Youll work closely with data scientists and engineers to deliver impactful machine learning solutions across a wide range of datarich challenges.
In this role youll contribute to developing and deploying advanced algorithms that influence key areas like pricing strategies and personalized customer targeting all at enterprise scale.
Key Responsibilities
- Collaborate with crossfunctional teams to design implement and optimize machine learning models for realworld business use cases.
- Deploy and maintain both batch and realtime machine learning systems at scale.
- Work alongside data scientists to translate experimental models into robust productionready solutions.
- Continuously improve model accuracy system efficiency and platform capabilities.
- Contribute to defining team best practices and engineering standards in machine learning development.
- Stay up to date with the latest industry research and bring new insights to the wider ML community within the business.
Qualifications :
About You
- Handson professional experience in developing and deploying machine learning solutions with a focus on deep learning.
- Experience working with modern ML frameworks and familiarity with endtoend deployment workflows.
- Proficiency in training models using GPUs and a strong interest in distributed computing and scalable systems.
- Familiar with software development practices including version control CI/CD containerization and monitoring especially within ML Ops workflows.
- A collaborative mindset with strong communication skills and the ability to work effectively across multidisciplinary teams.
- Motivated selfstarter with a desire to learn share knowledge and grow in a fastpaced environment.
Additional Information :
BeneFITS
- Competitive salary and performancebased bonus scheme
- Generous employee discount and exclusive product access
- Structured personal and professional development opportunities
- Paid annual leave plus an additional day for special personal milestones
- Flexible benefits allowance and private medical care options
- Access to a variety of online learning resources and employeeled communities
- A supportive inclusive and dynamic workplace where innovation thrives
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
