ML Engineer
inDrive
Employer Active
Posted 8 hrs ago
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Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
- Build and deploy machine learning solutions from end to end, contributing to the full ML delivery cycle
- Conduct data analysis, annotation, and processing as a key part of the ML system design
- Design solutions using common patterns and tools, and propose alternative approaches when needed
- Ensure solutions meet design standards and are reusable, flexible, and extensible through peer reviews
- Deploy features and ensure they work as intended while preventing unintended side effects
- Document technical solutions and ensure all necessary monitoring and support tools are in place
- Solve issues in the engineering design and delivery process and ensure the solution meets key performance indicators and non-functional requirements
- Collaborate with team members, contribute to a community of practice, and promote the reuse of common approaches and technologies
- Proficiency in Python and its frameworks for streaming, batch, and asynchronous data processing
- Solid experience with classic machine learning techniques and algorithms
- Experience using MLOps tools and practices to manage the ML model lifecycle
- Familiarity with technologies like Golang for backend system and infrastructure integration
- Ability to conduct thorough data analysis and preparation
- Strong problem-solving skills with a focus on engineering principles and data-driven reasoning
- Excellent communication and collaboration skills, with an ability to seek and validate information from various sources
- A solid understanding of business value and how it connects to delivering features
- A proactive approach to self-development and learning new skills and best practices
Desired Candidate Profile
- Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries.
- Develop your professional skills with access to mentoring, career consulting, and learning programs.
- Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
- Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
- Work alongside people who take initiative, speak openly, and challenge themselves to grow.
- Improve your language skills through co-financed courses and internal speaking clubs.
Company Industry
- Internet
- E-commerce
- Dotcom
Department / Functional Area
- IT Software
Keywords
- ML Engineer
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inDrive
https://indrive.pinpointhq.com/en/postings/8204dd55-58c8-43e5-b232-f9dc4af71eea
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