Scientist 4, Data Science
Bengaluru, KA, India
INR 3700K-5000K (estimate) Senior-level Full Time
Tasks
- Analyze business impact using A B testing and causal inference
- Communicate results and technical concepts to non technical audiences
- Conduct code and design reviews
- Define success metrics and KPIs for ML initiatives
- Develop metric driven ML objectives from business goals
- Drive innovation through rapid prototyping and experimentation
- Drive solutioning for complex ambiguous problems
- Ensure production reliability scalability maintainability cost efficiency for ML systems
- Establish best practices design patterns architectural standards for ML systems
- Implement monitoring experimentation and impact measurement frameworks
- Lead end to end machine learning program design architecture implementation
- Make technical decisions for model selection infrastructure tooling deployment
- Manage stakeholder relationships across product engineering and business
- Mentor junior and mid level data scientists and ML engineers
- Own technical vision and roadmap for machine learning initiatives
- Present strategic recommendations to senior leadership
- Provide technical training sessions
- Stay current with ML AI research and apply cutting edge techniques
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Causal Inference | Deep learning | Distributed Computing | Docker | Enterprise Search | Experimentation | Feature Store | GCP | Hadoop | Human Feedback | Information Extraction | Instruction Tuning | Knowledge graphs | Kubernetes | LLM Observability | Language Models | Large Language Models | Learning from Human Feedback | MLOps | Machine Learning | Model Monitoring | Model Registry | Model Serving | Multimodal LLMs | Optimization | Preference Learning | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Spark | Statistical modeling | Supervised Learning | TensorFlow | Unsupervised Learning | Vision Language Models | Vision-language
Education
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