Data Scientist

Job Title: Data Scientist

Minimum 5 to 6 years of experience in Deep Learning and Machine Learning

Location: Bangalore (Hybrid)

Why should you choose us

Rakuten Symphony is a Rakuten Group company, that provides global B2B services for the mobile telco industry and enables next-generation, cloud-based, international mobile services. Building on the technology Rakuten used to launch Japan's newest mobile network, we are taking our mobile offering global. To support our ambitions to provide an innovative cloud-native telco platform for our customers, Rakuten Symphony is looking to recruit and develop top talent from around the globe. We are looking for individuals to join our team across all functional areas of our business from sales to engineering, support functions to product development. Let's build the future of mobile telecommunications together!

What do we expect from you

Generative AI

You must have deep technical experience working with technologies related to multimodal, Anomaly Detection and Forecasting, image generation, from model fine-tune to prompt engineering. A strong developing machine learning background is preferred, in addition to experience building application and architecture design. You will be familiar with the ecosystem of software vendors in the AI/ML space, and will leverage this knowledge to help build AI powered applications for the user.

Required Skills and Expertise:

• Solve customer problems by creating solutions using our innovative technology for Machine Learning and Deep Learning including Large Language Models, Computer Vision systems, Recommender systems, and Advanced Generative AI systems.
• Strong experience and expertise in Machine Learning for Time Series, Deep Learning, Classical machine learning, clustering, dimensionality reduction and Reinforcement learning. Ability to quickly learn and implement state-of-the-art, and the thought process of generating novel ideas.
• Model Development and Deployment : Experience in Designing, developing, and optimizing generative models to generate realistic and diverse outputs. Implementing and fine-tune state-of-the-art generative AI architectures to achieve desired performance metrics. Experience in deploying language models in production environments and integrating them into applications, platforms, or services.
• Architect end-to-end generative AI solutions with a focus on LLMs and RAG workflows and refine foundation model infrastructure to support the deployment of optimized AI models. Implement state-of-the-art optimization techniques, including quantization, distillation, sparsity, streaming, and caching, for model performance enhancements.
• Implement strategies for efficient and effective training of LLMs to achieve optimal performance and design and implement RAG-based workflows to enhance content generation and information retrieval.
• Research and Development: Stay up-to-date with the latest advancements in generative AI, including LLMs, GPTs, GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other related techniques. Conduct research to identify and develop novel generative models and algorithms.

Qualifications and Skills

• Strong foundational expertise, from a BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience).

• 4-6 years

  experience demonstrating an established track record in Deep Learning and Machine Learning; experience with GPUs as well as expertise in using deep learning frameworks such as

  TensorFlow or PyTorch

  .
• Experience working and building ML Solutions in

  Telecommunication

  Domain.
• Strong data analytical and problem-solving skills, preferably in the telecom domain.
• Strong coding development and debugging skills. Including experience with

  Python, C/C++, Bash, as well as Cloud services, Spark and Linux.

• Experience working with

  DevOps

  and

  MLOps

  including but not limited to

  Docker/Containers, Kuberzetes, and Data Center or Cloud AI

  deployments.
• Ability to multitask effectively in a dynamic environment.
• Clear written and oral communications skills with the ability to effectively collaborate with executives and engineering teams.
• Successful candidates will be able to demonstrate a strong desire to share knowledge with clients, partners, and co-workers.

What we look for

• Must have sense of ownership for algorithm/product.
• Must be comfortable working with senior and junior level colleagues in various cultures.
• Must be highly collaborative.
• Must be comfortable working with people in different geographies.
• Must be comfortable working in diverse/multi-cultural environment

RAKUTEN SHUGI PRINCIPLES

Our worldwide practices describe specific behaviours that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success.

Always improve, always advance

Be passionately professional

Hypothesize - Practice - Validate - Shikumika

Maximize Customer Satisfaction

Speed!! Speed!! Speed!!