Senior Software/Machine Learning Engineer
Architect, Develop, Manage software delivery . Earn upto 300k.
Summary about this job
Engineering - Software
Company: Tasnix
Location: Sydney
Work type: Contract/Temp
Salary: $60 - $99.99 per hour
Phone: +61-7-9432-9306
Fax: +61-3-6795-6418
E-mail: n\a
Site: n\a
Detail information about job Senior Software/Machine Learning Engineer. Terms and conditions vacancy
- Design, and implement the solution
- Participate in client's meeting and understand their requirements
- Hire, support, and mentor junior developers
Tasnix are looking for multiple engineers to strengthen our team, work with clients in primarily Banking & Entertainment sectors to help build great financial industry products. We are looking for:
- 1 x Lead Software Engineer
- 2 x Mid/Senior software engineers and
We require someone who can take product ownership and can contribute to technical design/architecture decision.
Key Responsibilities:
- Design, document, and implement the solution
- Participate in client's meeting and understand their requirements and pain points
- Hire, support, and mentor junior developers
Requirements
(Software Engineer specific)
- Ability to work with a small tight-knit team of expert software engineers.
- Ability to work independently on a specific task while keeping alignment with client's and other team member.
- Understand the business functional and product concepts and turn these into features
- You have great command over Python/Java .
- In past you have shown the ability to learn new languages and framework quickly
- Understanding of event driven application architecture
- Experience with AWS/Azure technologies
- Expert in writing unit tests and behavior driven tests
(Machine learning specific)
- Strong knowledge of python and related framework
- Experience with ML libraries in Python : Numpy, Pandas, PySpark, Pytorch etc (Tensorflow as well).
- Experience in applying machine learning approaches while developing software solutions for data analysis.
- Regression and classification models using commonly used ML frameworks in R/Python.
Send resumes to [email protected].
Flexible work hours and ability to earn up to 300k for the right person.
We will get in touch with selected candidates.