Data Scientist

Job Title: AI/ML Engineer (Generative AI & ML Ops)

Minimum 5 to 8+ years of experience in AI/ML development.

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!

Required Skills and Expertise:

AI/ML Strategy and Leadership :

• Define the AI/ML strategy and roadmap aligned with the product vision.
• Identify and prioritize AI/ML use cases, including classical ML, Generative AI, and Agentic AI, relevant to our product offerings.
• Build and lead a high-performing AI/ML team by mentoring and upskilling existing non-AI/ML team members.
• Stay updated with the latest advancements in AI/ML, generative AI, Agentic AI and ML Ops, and apply them to solve business problems.

AI/ML Development :

• Proficient in Python programming and libraries like NumPy, Pandas, Scikit-learn, and Matplotlib.
• Strong understanding of machine learning algorithms, deep learning architectures, and generative AI models.
• Design, develop, and deploy classical machine learning models, including supervised, unsupervised, and reinforcement learningtechniques.
• Hands on Experience in AI/ML Framework like: Scikit-learn, XG Boost, TensorFlow, Py Torch, Keras, Hugging Face, OpenAI APIs (e.g., GPT models).
• Experience with feature engineering, model evaluation, and hyperparameter tuning.
• Experience with Lang Chain modules, including Chains, Memory, Tools, and Agents.
• Build and fine-tune generative AI models (e.g., GPT, DALL-E, Stable Diffusion) for specific use cases.
• Must Have Exp. in any Agentic AI framework. Leverage LLMs (e.g., GPT, Claude, LLaMA) and multi-modal models to build intelligent agents that can interact with users and systems.
• Design and develop autonomous AI agents capable of reasoning, planning, and executing tasks in dynamic environments.
• Implement prompt engineering and fine-tuning of LLMs to optimize agent behaviour for specific tasks.
• Optimize models for performance, scalability, and cost-efficiency.

ML Ops and DevOps for AI/ML:

• Establish and maintain an end-to-end MLOps pipeline for model development, deployment, monitoring, and retraining.
• Automate model training, testing, and deployment workflows using CI/CD pipelines.
• Implement robust version control for datasets, models, and code.
• Monitor model performance in production and implement feedback loops for continuous improvement.
• Proficiency in MLOps tools and platforms such as MLflow, Kubeflow, TFX, SageMaker.
• Familiarity with CI/CD tools like Jenkins, GitHub Actions, or GitLab CI for AI/ML workflows.
• Expertise in deploying models on cloud platforms (AWS, Azure, GCP)

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 . Only be satisfied with complete success - Kaizen.

Be passionately professional . Take an uncompromising approach to your work and be determined to be the best.

Hypothesize - Practice - Validate - Shikumika . Use the Rakuten Cycle to success in unknown territory.

Maximize Customer Satisfaction . The greatest satisfaction for workers in a service industry is to see their customers smile.

Speed!! Speed!! Speed!! Always be conscious of time. Take charge, set clear goals, and engage your team.