Senior Data Scientist / Machine Learning Engineer

ResponsibilitiesAnalyze large datasets to generate actionable insights and present findings using statistical analysis and data visualization.Design, develop, train, optimize, and deploy machine learning models to solve complex business problems.Collaborate with cross-functional teams to define requirements, integrate ML models into production, and enable real-time decision-making.Monitor, evaluate, and enhance model performance through continuous optimization and maintenance.Implement APIs and support model deployment using modern software engineering and DevOps practices.Stay current with emerging AI/ML technologies and recommend improvements to analytics solutions and workflows.RequirementsMinimum 3 years of experience in machine learning implementation, deployment, and statistical analysis of large datasets.Strong proficiency in Python, SQL, data wrangling, data visualization, DBMS, and ML frameworks such as TensorFlow or PyTorch.Experience translating business requirements into analytical solutions using statistical tools (e.g., Python, R, SAS) and visualization platforms (e.g., Qlik Sense).Experience working in Agile/Scrum environments.Familiarity with Power BI, Kubernetes, Docker/Podman, Microservices, SharePoint, MS Access, and DevSecOps is an advantage.Strong analytical, problem-solving, and communication skills with the ability to collaborate across technical and business teams.(EA Reg No: 20C0312)Please email a copy of your detailed resume to [email protected] for immediate processing.Only shortlisted candidates will be notified.