Senior Data Scientist (AI/ML)
Full-time
AuxoAI Engineering Pvt. Ltd.
AuxoAI is seeking a Senior Data Scientist with deep expertise in advanced algorithms and scientific rigor to lead strategic this role youll apply machine learning causal inference Bayesian methods and statistical modeling to solve high-impact business problems and guide AI-native product development. Location : Mumbai/Bengaluru/Hyderabad/ Gurgaon (Hybrid)
Lead the design and development of algorithms across ML causal inference and AI problem spaces
- Conduct exploratory data analysis feature engineering and statistical modeling with an emphasis on interpretability and reproducibility
- Benchmark and optimize models using advanced algorithms such as gradient boosting ( XGBoost / LightGBM ) survival analysis Bayesian hierarchical models causal impact analysis and probabilistic graphical models
- Establish best practices for experimentation validation frameworks and responsible AI across projects
- Mentor junior data scientists and foster a high-standard knowledge-sharing environment
- 6 years of experience delivering production-grade statistical and machine learning solutions
- Strong foundation in hypothesis testing Bayesian inference and experimental design
- Proven experience with classical ML algorithms including boosted trees GLMs survival models and ensemble methods
- Proficient in Python and key libraries such as pandas/Polars scikit-learn and StatsModels
- Ability to communicate insights effectively to both technical and non-technical audiences
- Exposure to MLOps tools and cloud-based environments is a plus
- in Statistics Computer Science or a related field
Bachelors degree in Computer Science Engineering or related field; or equivalent work experience. Proven experience as a DevOps Engineer or similar role with hands-on expertise in AWS and Azure cloud environments. Strong proficiency in Azure DevOps Git GitHub Jenkins and CI/CD pipeline automation. Experience deploying and managing Kubernetes clusters (EKS AKS) and container orchestration platforms. Deep understanding of cloud-native architectures microservices and serverless computing. Familiarity with Azure Synapse ADF ADLS and AWS data services (EMR Redshift Glue) for data integration and analytics. Experience with monitoring tools (e.g. Prometheus Grafana) and logging solutions for cloud-based applications.
Vacancy posted more than 2 months ago
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