Machine Learning Engineer

Job Title: Senior ML Engineer

Minimum 4 to 8+ years of experience in ML development in Product Based Company

Location: Bangalore (Onsite)

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:

• Candidate Must have exp. Working in Product Based Company.
• Should be able to Build, train, and optimize deep learning models with TensorFlow, Keras, PyTorch, and Transformers.
• Should have exp. In Manipulate and analyse large-scale datasets using Python, Pandas, Numpy, Dask
• Apply advanced fine-tuning techniques (Full Fine-Tuning, PEFT) and strategies to large language and vision models.
• Implement and evaluate classical machine learning algorithms using scikit-learn, statsmodels, XGBoost etc.
• Develop and deploy scalable APIs for ML models using FastAPI.
• Should have exp. In performing data visualization and exploratory data analysis with Matplotlib, Seaborn, Plotly, and Bokeh.
• Collaborate with cross-functional teams to deliver end-to-end ML solutions.
• Deploy machine learning models for diverse business applications over the cloud native and on-premise
• Hands-on experience with Docker for containerization and Kubernetes for orchestration and scalable deployment of ML models.
• Familiarity with CI/CD pipelines and best practices for deploying and monitoring ML models in production.
• Stay current with the latest advancements in machine learning, deep learning, and AI.

Our commitment to you:

- Rakuten Group’s mission is to contribute to society by creating value through innovation and entrepreneurship. By providing high-quality services that help our users and partners grow,

- We aim to advance and enrich society.

- To fulfill our role as a Global Innovation Company, we are committed to maximizing both corporate and shareholder value.

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.