Top Tech Jobs & Startup Jobs in Hyderabad, TG
Seeking a talented Data Scientist to work on high-impact projects for a client in the payments domain, focusing on Generative AI (GenAI) and recommender systems. Responsibilities include designing and implementing GenAI architectures, developing recommender systems, analyzing large datasets, and staying updated with the latest GenAI trends.
Seeking a highly skilled Senior Data Scientist with expertise in Dataiku, machine learning, and data science to lead a key project in the Supply Chain domain. Responsibilities include designing and deploying machine learning models, collaborating with stakeholders, and mentoring junior data scientists.
Develop innovative Qlik Sense applications, dashboards, and reports. Collaborate with stakeholders to gather requirements and implement best practices for frontend development. Optimize application performance and conduct thorough testing.
Seeking a skilled BI Engineer with 6+ years of Power BI development experience to design, develop, and implement impactful data visualization solutions. Responsibilities include developing automated BI products, designing reporting applications, and collaborating with cross-functional teams in an agile environment.
Looking for an experienced Data Scientist specializing in forecasting to develop accurate forecasting models and deliver actionable insights. Responsibilities include developing forecasting models, analyzing historical data, collaborating with cross-functional teams, and staying current with forecasting methodologies.
Seeking an experienced Snowflake Engineer to design, implement, and maintain a Snowflake data warehouse. Responsibilities include architecture design, ETL pipelines development, team management, and ensuring data security compliance. Requires Bachelor's degree, 5+ years of data engineering experience with at least 2 years in Snowflake, proficiency in SQL and programming languages, and familiarity with cloud-based data platforms.
Seeking a dynamic and experienced Data Engineering Manager to lead a team of data engineers in designing, developing, and implementing data pipelines. Must have expertise in Hadoop, Python, Scala, Spark, SQL, DBT, Airflow, and Big Data solutions.
Maintain and extend data science pipelines in AWS, focusing on infrastructure as code. Provide guidance to data scientists, research optimization opportunities, and collaborate on project improvements. Minimum 5 years DevOps experience in AWS Cloud with at least 2 MLOps projects using Sagemaker. Must have expertise in MLOps best practices, CloudFormation scripts, Python, Docker image building, and experience with AWS services and Github.
Join our Data Engineering team to develop innovative data solutions using leading technologies like Python, Scala, Java, SQL, Hadoop, Spark, AWS, Azure, and GCP. Collaborate with stakeholders to optimize data infrastructure for performance and reliability. Bachelor's degree in Computer Science or related field and 5+ years of experience required.
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