We are seeking an experienced AI Developer with 5–6 years of experience in designing, developing, and deploying AI-driven systems. The ideal candidate will have strong AI and cloud architecture expertise, hands-on experience in C / C++, and proficiency in machine learning, data transformation, and analytics frameworks. The role demands the ability to work with large datasets, automation systems, and modern AI platforms in a highly dynamic, technology-driven environment.
Job Responsibilities :
- Design, build, test, and deploy AI models and applications
- Develop and train machine learning models to address specific business needs
- Prepare and clean large datasets ensuring accuracy and relevance
- Understand and contribute to AI architecture and engineering tools
- Utilize Big Data technologies for analytics and decision support
- Create and interpret dashboards using Power BI
- Perform data migration, transformation, and validation using ETL tools
- Support AI-driven automation initiatives with tools such as CoPilot, Gemini, and GenAI
- Work closely with teams across data science, analytics, engineering, and operations
Required Skills :
5–6 years of hands-on experience in AI development and engineeringExperience with AI platforms (Chat, CoPilot, Gemini), GenAI, and automation frameworksStrong cloud expertise in architecture, observability, tools, AI operations (especially Azure, Snowflake, Databricks, Kubernetes)Proficient in C, C++ programmingExperience with Big Data analytics and data science methodologiesExpertise in data transformation and migration (Informatica or other ETL tools)Skilled in data mapping, gap analysis, and data quality managementProficient in both batch and real-time data streaming migrationAbility to design and interpret dashboards using Power BIPreferred Skills :
Deep domain knowledge in Telco, Billing, Revenue, and AccountingFamiliarity with AI / ML engineering tools and architecturesExperience with data assurance and conversion strategiesCertifications :
[Specify if required or preferred]
Education :
Bachelor's or master's degree in computer science, AI / ML, Data Engineering, or a related field
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