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Mid-senior ML role, metro Hyderabad, broad skillset, and common title increase qualified applicant competition.
Requires production ML, cloud, and data engineering experience, moderately limiting transferable backgrounds.
Explicit 6–10 years and required production ML, cloud, and data platform experience make filters strict.
Design, develop, and deploy machine learning and statistical models to solve complex business problems and generate actionable insights.
Collaborate cross-functionally with business, product, engineering, and data teams to translate requirements and productionize ML models using scalable data pipelines.
Monitor and optimize model performance and contribute to ML lifecycle initiatives including MLOps, automation, and continuous improvement.
6–10 years of experience in Data Science, Machine Learning, or Advanced Analytics.
Strong hands-on experience with Python, ML algorithms, feature engineering, model evaluation, and production deployment of ML models.
Experience with ETL/ELT processes, handling large datasets, and familiarity with cloud platforms such as AWS, Snowflake, or Databricks.
Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, Engineering, Data Science, or a related field.
Experienced in end-to-end ML solution development with a strong focus on productionizing models and building scalable data pipelines.
Comfortable working in a collaborative environment involving Data Engineering, AI, and business teams to deliver measurable impact.
Familiar with cloud data platforms and modern data engineering tools, with a preference for candidates skilled in Spark/PySpark and MLOps practices.