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AI Software Engineer & Data Analyst


Location: Bawal, Haryana | Job: Full Time | Industry: Manufacturing MNC | Experience: 5+ years | On-Site Job


Responsibilities:


Software Development:

  • Develop software programs for various AI applications, focusing on back-end programming using languages such as Python, R-programming, and Java.

  • Utilize advanced back-end languages like Spring Boot, Python Pandas, and Numpy for enhanced functionality.

  • Collaborate with front-end developers to integrate software components into user interfaces using JavaScript, HTML, CSS, Angular, and React.

Data Analysis:

  • Conduct comprehensive data assessments, including data extraction, definition, exploration, and quality verification.

  • Perform statistical data preparations, such as data field selection, construction, missing value treatment, integration, and transformation.

  • Generate assessment reports and final data set reports to support decision-making processes.

Algorithm Modeling:

  • Select appropriate modeling techniques and assumptions for AI projects.

  • Build, assess, and evaluate models to meet business goals and criteria.

  • Obtain model approval through rigorous evaluation processes.

Project and Program Coordination:

  • Identify, develop, test, and deploy various AI application projects and programs.

  • Design user interfaces and application workflows.

  • Coordinate development, testing, and final deployment phases of projects.


Requirements:

  • Bachelor's degree in Computer Science, Data Science, or related field.

  • 5+ years of experience in software development and data analysis.

  • Proven expertise in back-end programming languages (Python, R-programming, Java) and advanced back-end technologies (Spring Boot, Python Pandas, Numpy).

  • Proficiency in front-end programming languages (JavaScript, HTML, CSS) and frameworks (Angular, React).

  • Strong knowledge of databases, including MySQL, Hbase, Elastic Search, and HDFS.

  • Familiarity with Hadoop ecosystem and cloud platforms like Azure Data Factory and Snowflake Data Warehouse.

  • Excellent analytical and problem-solving skills.

  • Ability to work independently and as part of a collaborative team.

  • Strong communication and project management abilities.




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