Machine Learning Engineer
Machine Learning Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
At Instaleap we are seeking a talented Machine Learning (ML) engineer to join our Logistics team. As an ML engineer you will be responsible for designing implementing and maintaining machine learning models and algorithms that drive key business decisions and enhance the impact of our products. You will collaborate closely with crossfunctional teams including data engineers software engineers and product managers to develop innovative solutions that leverage machine learning techniques.
The ideal candidate should have a strong background in mathematics statistics and computer science along with extensive experience in machine learning frameworks and tools (Python TensorFlow or related).
What would you do
- Own the entire ML lifecycle (e.g. ML pipeline design development maintenance optimization troubleshooting and so forth) while ensuring high adherence to industrys best practices.
- Write specifications documentation and user guides for developed applications.
- Deploy machine learning models to endusers and run experiments.
- Mentor developers and contribute to the growth of the teams overall expertise in machine learning and personalization.
Your experience has been shaped by
- BSc or MSc in Computer Science Statistics Engineering or a related science/tech field focusing on machine learning.
- 2 years of experience in engineering and ML methods.
- Experience with both SQL and NoSQL databases.
- Strong proficiency in Python with experience in ML libraries and frameworks such as TensorFlow PyTorch scikitlearn or similar technologies.
- Proven experience with small/mediumscale systems and the ability to adapt to a fastpaced rapidly evolving environment.
Your SuperPowers
- Excellent problemsolving and analytical skills with a passion for optimizing algorithms and models for high performance.
- Strong communication and collaboration skills with the ability to work effectively within a diverse crossfunctional team.
What we bring to the table
- Hybrid Work: Work together as a team.
- Flexible hours: We trust your work and skills.
- Additional days off to vacations.
- Half day off on your birthday.
- Access to Educational Budget.
- Workstation Paid BYOD or companyprovided machine. Different options to satisfy your palate.
- Health insurance: Get the attention and care that you deserve. Available in some countries.
Employment Type
Full Time
