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Data Scientist
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Data Scientist
Infosys- Posted 2 hours ago
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Job Description
- Experience: 4–6+ years delivering end-to-end data science projects.
- Education: Master's or PhD in Data Science, Machine Learning, Statistics, Computer Science, Applied Mathematics, or related quantitative field (required from this level onward).
- Core stack: Python, Spark, Git; ML frameworks; Databricks/MLflow (or equivalent); cloud basics.
- Translate business needs into ML/AI problem statements and measurable success metrics.
- Develop ML models and, where relevant, GenAI components (e.g., retrieval-augmented generation, prompt pipelines) with clear evaluation criteria.
- Run evaluation: offline metrics, error analysis, bias checks, and monitoring baselines; document decisions and assumptions.
- Communicate results and limitations clearly to technical and non-technical stakeholders; support adoption in workflows.
- Python (pandas, numpy) + Git for reproducible development
- Databricks (Notebooks, Workflows) for development and orchestration
- ML flow (experiments, tracking, model registry) for lifecycle management
- Azure (cloud services; where relevant Azure OpenAI and Azure AI Foundry for GenAI build/evaluation)
- Databricks Mosaic AI (including Mosaic AI Model Serving) for GenAI delivery in the lakehouse
- Databricks Vector Search for RAG retrieval patterns
- Unity Catalog for governed data and model access (where applicable)
- Lakehouse Monitoring / model monitoring for quality and drift (where applicable)
More Info
Job Type:
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Key Skills
Lakehouse Monitoring
Databricks Mosaic AI
Databricks Vector Search
MLflow
Databricks Notebooks
Azure OpenAI
Azure AI Foundry
Unity Catalog
model registry
ML frameworks
Mosaic AI Model Serving
About Company
Skills:
Machine Learning, Phoenix, Tensorflow, Numpy, Nlp, Pytorch, Python, Statistical Analysis, AWS, Deep Learning, Pandas, MLops, Gcp, Azure, Computer Vision, scikit-learn, Multimodal Learning, LangGraph, R, MLFlow, Google Agent Development Kit, LangChain, LLMOps, AgentOps, reinforcement learning, Time-Series
Skills:
Git, Pandas, Numpy, Azure cloud services, Python, Databricks Mosaic AI, Databricks Vector Search, MLflow, Databricks Notebooks, Azure OpenAI, Azure AI Foundry
Skills:
Ml, Sql, Python, statistical forecasting, R, Ai, cloud analytics
Skills:
google apps script , React, Restful Apis, Python
Skills:
snowflake , Google Cloud Platform, Sql, Databricks, Azure, Python, AWS, AI Agents, MLflow, MLOps practices, Statistics, Machine Learning techniques