Data Scientist
1 week ago
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 new advances in AI continuously and execute PoCs- Mentoring – Guide junior team members & evangelize AI in organization
Technical skills
- Programming: Python, R, SQL- ML algorithms:
1. Statistical ML algorithms2. Deep Neural Network architectures3. Model ensembling4. Generative AI models5. 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 3rd 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
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