Research Engineer
- Posted 3 months ago
- Be among the first 10 applicants
Job Description
Work with LG Soft India, Bengaluru.
Job Summary
As a Research Engineer at LG Soft India, you will work on developing intelligent and scalable backend systems that power next-generation devices and platforms. The role involves backend development, AI/ML integration, and building high-performance systems using modern technologies and CI/CD practices.
Roles & Responsibilities
- Develop and maintain scalable backend services using Python, Java, or Node.js
- Build RESTful APIs using FastAPI for software and hardware integration
- Work with SQL databases (PostgreSQL/MySQL) and optimize complex queries
- Handle NoSQL databases like MongoDB, including query optimization
- Manage time-series databases and ensure efficient data processing
- Write advanced queries (CTEs, stored procedures) for efficient data handling
- Use SQLAlchemy and Python-based tools for optimized data retrieval
- Develop and maintain CI/CD pipelines for automated deployment and testing
- Optimize system performance for scalability, latency, and efficiency
- Conduct load testing and performance tuning
- Collaborate with cross-functional teams for solution development
Mandatory Requirements
- Bachelor's or Master's degree in Computer Science or related field
- Strong programming skills in Python / Java / Node.js
- Expertise in SQL (PostgreSQL/MySQL) and NoSQL (MongoDB)
- Experience with FastAPI and REST API development
- Knowledge of SQLAlchemy, Pandas, NumPy
- Familiarity with Docker, Kubernetes, Git, and CI/CD pipelines
- Strong analytical, problem-solving, and communication skills
- Ability to work in a fast-paced, collaborative environment
More Info
Key Skills
About Company
Skills:
Machine Learning, Python, LLMs, Generative AI, Modern ML Frameworks, Recommendation Engines, Deep Learning Architectures
Skills:
model development , Machine Learning, Deep Learning, Tensorflow, Pytorch, Python, scikit-learn, Feature Engineering, Clinical Study Methodology, Ai, Medical AI, Clinical Prediction, Risk Stratification, Decision Support, R, Healthcare Analytics, Data Analysis, Statistical Machine Learning, Experimental Design
Skills:
Dsp, Performance Modeling, Cuda, Python, low-level performance optimization, fixed-point arithmetic, workload characterization, Bottleneck Analysis, Benchmarking, robotics systems, simd, memory hierarchy, VLIW, autonomous systems, sensor processing, HW SW co-design, multimodal perception, emerging physical AI workloads
Skills:
graph databases , Jax, Distributed Systems, Nlp, Pytorch, Docker, Python, Deep Learning, Information Retrieval, FastAPI, Kubernetes, Hugging Face, Ray, Robotics AI, LangGraph, Vector Databases, GPU Computing, Multi-Agent Systems, Search, DSPy, Probabilistic Reasoning, Large Language Models, Planning Algorithms, Cognitive Architectures, reinforcement learning, vLLM, Agentic AI, MCP, LlamaIndex, Knowledge Graphs
Skills:
Pytorch, Docker, C++ Programming, Python Programming, Kubernetes, Embedded Systems, Vision-Language Models, Transformer architectures