Senior Data Scientist
- Posted a month ago
- Over 100 applicants have applied
Job Description
Key Deliverables:
- Automate data curation workflows using ML techniques.
- Develop and deploy models for data cleaning, validation, and standardization.
- Lead ML solution design, experimentation, and performance evaluation.
- Collaborate with engineering teams to scale AI/ML pipelines in cloud environments.
Role Responsibilities:
- Drive AI/ML initiatives to reduce manual data processing.
- Conduct exploratory data analysis for feature engineering and insights.
- Implement deep learning models using modern frameworks.
- Mentor team members and promote data science best practices.
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Key Skills
About Company
Flexera Software
Skills:
statistical concepts , Sql, Predictive Modeling, Neural Networks, Deep Learning, Decision Trees, Machine Learning, Clustering, Python, Model training, Data ingestion, Responsible AI, Explainable AI, Ai, Ensemble methods, Feature engineering
Skills:
RAG (Retrieval-Augmented Generation) architecture, GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), Data Structures And Algorithms, Python Programming, LLMs, Autoregressive models, SLMs, Model finetuning, AI accelerator chips, Transformer-based networks, Generative AI architectures, MLOps practices, Modern AI frameworks
Skills:
Data Science, Machine Learning, Data Analysis, Data Processing
Skills:
Data Scientist, Python, Tensorflow, MLops, Ms Sql Server, Databricks, PyTorch libraries
Skills:
Nlp, Git, Python, Sql, Gcp, Azure, AWS, LLM fine-tuning