Role & responsibilities

Responsibilities

• Anchor ML development track in a client project

• Data collection, profiling, EDA & data preparation

• AI Model development, experimentation, tuning & validation

• Present findings to business users & project management teams

• Propose ML based solution approaches & estimates for new use cases

• Contribute to AI based modules in Infosys solutions development

• Explore recent advances in AI continuously and execute PoCs

• Mentoring Guide junior team members & evangelize AI in organization

Technical skills

• Programming: Python, R, SQL

• ML algorithms:
- Statistical ML algorithms
- Deep Neural Network architectures
- Model ensembling
- Generative AI models
- ML for Responsible AI

• AI domains - NLP, speech, computer vision, structured data

• Learning patterns – supervised, unsupervised, reinforcement learning

• Tools for data analysis, auto ML, model deployment & scaling,



model fine tuning

• Knowledge of different Model fine tuning approaches for Large models

• Knowledge of datasets, pre-built models available in open community and 3 rd party providers

• Knowledge of software development & architectures

• Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP

• Knowledge of Model Quantization and Pruning

• Past experience playing a Data Scientist role

Soft Skills

• Good verbal & written communication skills – articulate value of AI to business, project

managers & other team members

• Ability to break complex problem into smaller problems and create hypothesis

• Innovation and experimentation

Academic background

• Degree in quantitative field – mathematics/ statistics/ computer science/ engineering

📌 Hiring For Data Scientist (Bengaluru)
🏢 Glauben Technologies
📍 Bengaluru