Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Python (Programming Language)
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: The Streaming Engineer focuses on designing, implementing, and managing the data streaming components of the EDA, ensuring real-time data processing and event handling. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work-related problems. - Design and develop data streaming solutions. - Implement and manage data pipelines using streaming technologies (Kafka, Flink, Spark, etc.). - Ensure data integrity and real-time processing capabilities. - Monitor and optimize streaming performance. - Collaborate with other engineers and stakeholders to meet requirements. - Develop applications and systems utilizing AI tools and Cloud AI services. - Create a proper cloud or on-prem application pipeline with production-ready quality. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language). - Expertise in data streaming technologies (Kafka, Flink, Spark, etc.). - Strong programming skills in languages like Java, Scala, or Python. - Experience with real-time data processing. - Knowledge of distributed systems. - Problem-solving and optimization skills. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - A 15 years full-time education is required.

15 years full time education

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