Senior Data Specialist

We are seeking a talented Data Scientist / Machine Learning Engineer with strong expertise in predictive modeling, large-scale data analysis, and machine learning. The ideal candidate will have a proven track record of building and deploying ML/DL models, working with large datasets (terabyte scale), and deriving actionable insights from complex data. The role requires strong programming skills, experience with modern ML frameworks, and the ability to communicate complex technical concepts effectively. Candidates should be comfortable working in dynamic customer environments and be willing to travel to the customer site in Hyderabad as needed. Fluency in English (written and oral) is essential. Key Responsibilitie sMachine Learning & Modelin gDesign, build, and deploy machine learning and deep learning models for real-world use casesDevelop predictive models and perform advanced statistical analysisExperiment with algorithms and techniques to improve model accuracy and performanceWork with GPU-based environments to accelerate model training . Data Analysis & Engineeri ngAnalyze and process large-scale datasets (terabyte level) to uncover patterns and insightsWrite efficient and optimized SQL queries for data extraction and transformationBuild robust data pipelines and ensure data quality and integrityApply data modeling and feature engineering technique s. Development & Implementat ionWrite production-quality, maintainable, and explainable codeUse ML libraries such as scikit-learn, MLlib, caret, mlr, etc.Leverage SparkML for distributed machine learning workloadsCollaborate with engineering teams to deploy and scale ML solutio ns. Visualization & Communica tionCreate visualizations to communicate insights using modern data visualization toolsPresent complex technical findings in a clear and simplified mannerWork closely with stakeholders to translate business problems into analytical solutions____________________________________ ____Key Sk illsStrong experience in predictive modeling, data science, and machine learningProficiency in Python and/or RHands-on experience with SparkML and distributed data processingExpertise in ML libraries (scikit-learn, MLlib, caret, mlr, etc.)Strong SQL skills (writing, tuning, and optimization)Experience working with large-scale datasets and GPU-based model trainingStrong understanding of statistics, data modeling, and feature engineeringAbility to write clean, production-grade codeStrong analytical thinking and problem-solving skillsExcellent communication skills (technical and non-technical audien ces) Good to HaveExperience with programming languages like Java or C/C++Exposure to AWS services (Redshift, S3, EC2, EMR, Data Pipeline)Experience with Databricks or similar data platformsConsulting experience with a focus on AI/ML solutionsStrong ability to design experiments and analytical frameworksExperience identifying cause-and-effect relationships in dataBusiness acumen and ability to interact with cross-functional stakeholdersProven ability to work in ambiguous and fast-paced environmentsWillingness and ability to travel to Hyderabad for client engagem ents. We are seeking a talented Data Scientist / Machine Learning Engineer with strong expertise in predictive modeling, large-scale data analysis, and machine learning. The ideal candidate will have a proven track record of building and deploying ML/DL models, working with large datasets (terabyte scale), and deriving actionable insights from complex data. The role requires strong programming skills, experience with modern ML frameworks, and the ability to communicate complex technical concepts effectively. Candidates should be comfortable working in dynamic customer environments and be willing to travel to the customer site in Hyderabad as needed. Fluency in English (written and oral) is essential. Key Responsibilitie sMachine Learning & Modelin gDesign, build, and deploy machine learning and deep learning models for real-world use casesDevelop predictive models and perform advanced statistical analysisExperiment with algorithms and techniques to improve model accuracy and performanceWork with GPU-based environments to accelerate model training . Data Analysis & Engineeri ngAnalyze and process large-scale datasets (terabyte level) to uncover patterns and insightsWrite efficient and optimized SQL queries for data extraction and transformationBuild robust data pipelines and ensure data quality and integrityApply data modeling and feature engineering technique s. Development & Implementat ionWrite production-quality, maintainable, and explainable codeUse ML libraries such as scikit-learn, MLlib, caret, mlr, etc.Leverage SparkML for distributed machine learning workloadsCollaborate with engineering teams to deploy and scale ML solutio ns. Visualization & Communica tionCreate visualizations to communicate insights using modern data visualization toolsPresent complex technical findings