Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The Sr. Software Engineer will develop feature extraction engines, collaborate with data scientists, and test software systems while working with complex file formats and reverse engineering.
Top Skills:
AWSAzureBitbucketC++GCPGitJenkinsJIRAPythonRust
Artificial Intelligence • Big Data • Logistics • Machine Learning • Software • Transportation
Oversee secure cloud infrastructure, implement automation for CI/CD, ensure compliance with security standards, and respond to incidents.
Top Skills:
AnsibleAWSAzureBashC#ChefCloudFormationDockerGCPJavaJenkinsKubernetesPuppetPythonTerraform
Cloud • Fintech • Food • Information Technology • Software • Hospitality
The Disaster Recovery Manager develops and maintains disaster recovery plans, ensures systems resilience, conducts tests, and leads recovery efforts during outages.
Top Skills:
Cloud-Based TechnologyData BackupData CenterDisaster RecoveryIt Infrastructure
We are seeking a data scientist with strong technical expertise in machine learning and statistical analysis to develop and deploy impactful data solutions. The role involves designing and implementing predictive models (e.g., regression, classification, NLP, time series), collaborating with stakeholders to solve business problems, and driving strategic decisions through experimentation and data-driven insights
Job Description:
Key responsibilities:
1. Modeling & Machine Learning
- Design and implement robust machine learning solutions (e.g., regression, classification, NLP, time series, recommendation systems).
- Evaluate and tune models using appropriate metrics (AUC, RMSE, precision/recall, etc.).
- Work on feature engineering, model interpretability, and performance optimization.
2. Data-Driven Business Strategy
- Partner with stakeholders to identify key opportunities where data science can drive business value.
- Translate business problems into data science projects with clearly defined deliverables and success metrics.
- Provide actionable recommendations based on data analysis and model outputs.
3. Analytics and Experimentation
- Conduct deep-dive exploratory analysis to uncover trends and insights.
- Apply statistical methods to test hypotheses, forecast trends, and measure campaign effectiveness
- Design and analyze A/B tests and other experiments to support product and marketing decisions.
- Automate data pipelines and dashboards for ongoing monitoring of model and business performance.
Technical Skills:
- Languages: Proficient in Python, MySQL.
- Libraries/Frameworks: scikit-learn, Pandas, NumPy, Time series, ARIMA, Bayesian model, Market Mix model, Regression, XGBoost, LightGBM, TensorFlow, PyTorch.
- Statistical Method: Proficient in statistical techniques such as hypothesis testing, regression analysis, time-series analysis
- Databases : PostgreSQL, BigQuery, MySQL.
- Visualization: Plotly, Seaborn, Matplotlib.
- Deployment: Experience in Gitlab, CI/CD pipelines(Good to have).
- Cloud Platforms: Familiarity with AWS, GCP, or Azure services(Good to have).
Location:
ChennaiBrand:
ParagonTime Type:
Full timeContract Type:
PermanentWhat you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
