- অভিজ্ঞতা
- যেকোনো
- বেতন
- USD 160,000 – USD 300,000 / year
- শূন্যপদ
- 1
- পোস্ট করা হয়েছে
- ৯ ঘন্টা আগে
- কাজের ধরণ
- বাড়ি থেকে কাজ করুন
- যোগ্যতা
- Candidates from any background are welcome if they meet the required skills and qualifications. The role is open regardless of prior employment history or experience background.
- জীবনবৃত্তান্ত
- আবেদন করা আবশ্যক
কাজের বিবরণ
Role summary
This is a full-time remote opportunity for an AI/ML Engineer working with one of the client organizations. The position is focused on building machine learning systems that can be used in production and help improve business results.
Work location and type
The job is remote and can be done from anywhere. It is a full-time role.
Compensation
The payout is listed at USD 160,000 to USD 300,000 per year.
What you will do
- Create, tune, and scale AI and machine learning models for practical use cases.
- Build and support end-to-end ML workflows, including cleaning data, creating features, and training models.
- Partner with software engineering teams to move models into live production environments with dependable performance.
- Test and validate model output thoroughly to maintain quality and accuracy.
- Keep up with new developments in AI and machine learning and use relevant advances to improve existing systems.
Skills and qualifications
- Strong Python programming ability with hands-on use of AI/ML libraries such as TensorFlow or PyTorch.
- Good understanding of machine learning methods, including both supervised and unsupervised learning.
- Experience working with data tools and analysis technologies such as SQL, Pandas, or NumPy.
- Familiarity with cloud environments like AWS, GCP, or Azure for deploying and operating ML models.
- Working knowledge of software development practices such as Git and CI/CD workflows.
About the opportunity
This position offers the chance to contribute to advanced AI products for a major player in the technology, information, and internet space. The work is high impact and can support strong professional growth.
Equal opportunity statement
Selection is based on capability and relevant expertise. Applicants from all backgrounds are encouraged to apply, and prior employment history is not a deciding factor.