Artificial Intelligence Associate

Universal Service Fund, Govt. of Punjab, Lahore                                  Qualification:

• Bachelor’s degree in Electrical / Telecom/ Computer/ Computer System Engineering recognized by PEC, from a HEC recognized Institution.

Experience:

• Fresh graduates are encouraged to apply, as we value and support the growth of fresh talent.
• Preference will be given for having hands-on experience with AI tools and Machine Learning/ Deep Learning techniques.
• Good level of understanding and hands-on experience of SQL, Python and other databases/data sources

Jobs Description:

• Conceive, plan, develop and deliver data solutions to create and optimize data pipelines for various day to day operational tasks and Developing data set processes for data modeling, mining, and production.
• Integrate new data management techniques, technologies, and software engineering tools into existing structures and platforms and Connect securely to data sources, understand their limitations and data assets, and ingest data from those to various storage components and data lakes maintaining the correct content, format, and integrities throughout the lifetime of such data.
• Work with cross functional teams and departments when requirement collection, consulting and delivering workshops.
• Work on data-driven approach to accelerate performance using AI tools. Forecast and generate predictive reporting using AI tools.
• Optimize and automate day to day processes and operations using AI tools. Analysis and data modeling of raw data related to different stakeholders within organization.
• Developing solution for effective data modeling and data pipelining and Integrate new data management techniques, technologies, and software engineering tools into existing structures and platforms.
• Implementing database and web application technologies to design, develop, and evaluate innovative AI based solution.
• Automating periodical reports and statistical analysis.
• Merge BI platforms with enterprise systems and applications