R01545056- Data Scientist at Brillio

Classical Data Scientist/ML Engineer Primary Skills

ML, MLOps, statistical machine learning, traditional ML , predictive modelling, classical ML models (such as bagging, boosting, regression, classification, etc.), data visualization, and Python (with pandas and PySpark SQL expertise as mandatory).

Experience required: 5 - 10 Years

Location: Bangalore/Pune

Specialization

Data Science Advanced: AI/ML Engineer

Job requirements

Hypothesis Testing, T-Test, Z-Test,

Regression (Linear, Logistic),

Python/PySpark,

SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX),

Tools(KubeFlow, BentoML),

Classification (Decision Trees, SVM),

ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet),

Distance (Hamming Distance, Euclidean Distance, Manhattan Distance),

R/ R Studio

Job Description:

Drift Frame Work : Framework for detecting drift Automatically monitor track accuracy and trigger model retraining and notifications to restore previous accuracy levels

ML Generalist: Data Scientist with MLOPS Development and maintenance of ML pipeline ML Engineer focusing on experimentation and tracking

Responsibilities: Model Development: Develop machine learning models and algorithms to solve business problems, leveraging techniques such as supervised learning, unsupervised learning, and deep learning.

Deployment and Integration: Deploy machine learning models into production environments and integrate them with existing systems and workflows.

Performance Optimization: Optimize machine learning models for scalability, efficiency, and performance, considering factors such as latency, throughput, and resource utilization.

Monitoring and Maintenance: Monitor model performance in production, identify and diagnose issues, and implement solutions to ensure continued reliability and effectiveness.

Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to understand business requirements and deliver solutions that meet stakeholders' needs.

Research and Innovation: Stay up-to-date with the latest advancements in artificial intelligence and machine learning research, and explore new techniques and methodologies to improve model performance and capabilities.

R01545056- Data Scientist

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