Machine Learning Engineer - Bengaluru, India - Samsung R&D Institute India

Description

Job Role : NLP Engineer

Job Description

1. [Research] Study the latest SOTA solutions [AI / ML / LLM / Gen AI / Multimodal] in relevant problem areas and design and implement for the given product problem statement.

2. [Design for Data Pipeline and Software Development] Design the Data Pipeline which will be suitable for model training. Also involve in design for adaptation and integration of AI Solution in Product.

3. [Adaptation] Adapt the solution for the target product environment (e.g. Android / Server). The adaptation method may include model compression (e.g. Quantization, Distillation etc.). Find, evaluate and implement the best possible technique for all steps of adaptation.

4. [NFR Optimization] Optimize the Non-Functional Requirement (e.g. Latency, RAM, ROM etc.) for the target product.

5. [Integration & Commercialization] Integration of Solution in the product and resolve all integration issues by co-working with relevant stakeholders. Solve the commercialization issues for successful deployment in market.

6. [Intellectual Property] Develop Paper/Patent/PoC for securing the IP for the work.

Additional Job Description

PhD in Computer Science, Computer Engineering / Artificial Intelligence / Generative AI or related technical discipline

5 ~ 8 years of data science / machine learning and software development experience

Python / Machine Learning / Natural Language Process / Large Language Model / Generative AI

Knowledge on Scikit-Learn / NLTK / Tensorflow /Keras/ Pythorch / tfLite / LLM

Experience in C/C++/Java, and object-oriented design skills is beneficial

Experience in development & debugging of software modules from given requirement / detailed design, following SDLC is preferred.

Knowledge in Android Application Development will have added benefit.