Senior Machine Learning Engineer (Hybrid working)

NAVIGOS SEARCH'S CLIENT

Job Locations: Ha Noi

From 2,000 USD To 4,000 USD

456 Views - Expires in 45 day(s)

What We Can Offer

  • Bonus
  • laptop
  • Training
  • Healthcare
  • Awards

Job Description

Responsibilities:

- Train, evaluate, and deploy advanced machine learning models to enhance the functionality of the drawing search system.

- Engage in the full software development lifecycle, including design, development, QA, deployment, experimentation, analysis, and iteration.

- Collaborate with cross-disciplinary teams and other ML groups to develop technical solutions for complex challenges.

- Continuously monitor and improve deployed models for optimal performance.

What Success Looks Like:Develop technology to analyze drawing images and extract meaningful information from them.

- Build image recognition models and annotation systems to support the drawing search functionality.

- Explore the integration of large-scale language models (LLMs) and large-scale visual models (LVMs).

- Work with data science teams to transition prototype models into production environments.

- Set and maintain high standards for engineering excellence and project delivery.

Benefits and Growth Opportunities:Solve highly complex technical problems alongside passionate and skilled team members.

- Collaborate with professionals from diverse expertise areas, including software engineering and machine learning.

- Gain experience in aligning technical solutions with business value creation.

- Opportunity to work closely with MLOps and product management teams, allowing for expanded responsibilities based on interest and initiative.

Job Requirements

Must-Have Requirements:

- Strong knowledge of algorithms in machine learning, statistics, linear algebra, and computer science.

- Experience applying machine learning techniques to solve business problems.

- Proven ability to enhance the accuracy of machine learning and statistical models.

- Demonstrated experience deploying machine learning models into production environments.

- Proficiency in working with cloud platforms such as Google Cloud and AWS.

- Strong business communication skills in English.

Nice-to-Have Requirements:Experience in image recognition, OCR, and 3D analysis.

- Familiarity with GPU-based data processing technologies (CUDA, OpenCL, cudf, CuPy, etc.).

- Experience developing machine learning pipelines using tools like Vertex AI Pipeline, Kubeflow, Apache Beam, Spark, etc.

- Experience in distributed processing development and operations.

- Business-level proficiency in Japanese.

Job Locations

  • Ha Noi

Tags

LG Electronics is made up of five forward-looking business units – Home Entertainment, Mobile Communications, Home Appliance, Air Conditioning & Energy Solution and Vehicle Components.

With the advent of the Smart Car era, LG hopes to become an innovative partner in vehicle electrification through development of advanced technology components. Vehicle Component Solutions Company (VS) is developing a wide variety of highly competitive products. Our products include In Vehicle Infotainment system such as Telematics, AV Navigation, Display Audio, Integrated Display System, and Advanced Driver Assistant System (ADAS) called ‘intelligent safe’, and other convenient devices. Our company is also focusing on vehicle engineering, to include Powertrain, electronic vehicle Battery Packs, etc. and is providing them to major customers in the world-wide vehicle industry.

Our Vehicle Component Solutions Development Center Vietnam (VS DCV) established in May 2016 is located in the 34th floor, Keangnam Landmark 72 Tower, Pham Hung Street, Nam Tu Liem District, Hanoi. We conduct core R&D activities, and various product reliability tests in support of our vehicle component business.

We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value.

At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board. We want our colleagues to grow with our global business. That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits.

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