LG Electronics B2B Middle East & Africa
Website:
lge.com
Job details:
As a Research Engineer at LG Soft India, you will be at the forefront of developing intelligent software solutions that power LG’s next-generation devices and platforms. You will work on scalable backend systems, AI/ML integrations, and CI/CD pipelines to deliver high-performance, intelligent services.
Key Responsibilities
- Build and maintain scalable backend services using Python, Java, or Node.js.
- Develop RESTful APIs using FastAPI, for software and hardware integration.
- Hands-on experience with SQL databases (PostgreSQL/MySQL)
- Work with NoSQL databases like MongoDB, including query optimization.
- Manage time-series databases and optimize data handling for performance.
- Write optimized queries, including advanced operations like CTEs, stored procedures.
- Ensure efficient data handling and retrieval using SQLAlchemy and MongoDB filters in Python.
- Develop CI/CD pipelines for automated deployment and testing for services.
- Optimize system performance for latency, scalability, and power efficiency across platforms.
- Conduct load testing and performance tuning to ensure high availability and responsiveness.
Required Skills & Qualifications
- Education:
- Bachelors or Master’s degree in Computer Science, Engineering, or a related technical field.
- Programming & Tools:
- Strong proficiency in Python, Java, or Node.js.
- Expertise in SQL (PostgreSQL, MySQL) and NoSQL (MongoDB).
- Experience with FastAPI, REST API design, and API documentation tools (e.g., swagger).
- Familiarity with SQLAlchemy, Pandas, NumPy, and time-series databases.
- Familiarity with Docker, Kubernetes, Git, and CI/CD pipelines.
- Strong analytical thinking, problem-solving ability, and attention to detail.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team in a fast-paced environment.
Good-to-Have
- AI/ML Frameworks:
- Experience with Agentic RAG pipelines, LangChain, LlamaIndex, and Hugging Face Transformers.
- Knowledge of Pandas, NumPy, PyTorch, TensorFlow, or Keras for deep learning models.
- Integrate AI/ML models into backend systems, including LLMs, Generative AI, and NLP pipelines.
- Experience with AWS, Azure, or GCP is a plus.
- Experience with ElasticSearch for search and analytics.
- Unit testing, integration testing, and familiarity with frameworks like PyTest or JUnit.
- Monitoring & Logging: Knowledge of tools like Prometheus, Grafana, or ELK stack
- Experience with ETL pipelines and data preprocessing
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