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Popular AI role, Bengaluru metro, and broad multi-framework skill requirements increase applicant density.
AI/ML and cloud skills are broadly transferable across industries, low domain bias.
Requires specific AI/ML frameworks, cloud and data skills but targets entry-level candidates.
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Design, develop, and deploy machine learning, Generative AI, and Agentic AI solutions for real-world business needs.
Build intelligent AI systems using prompt engineering, retrieval-augmented generation, multimodal AI, and autonomous reasoning frameworks.
Develop and manage AI-based applications, data pipelines, and business dashboards with cross-functional teams, leveraging cloud platforms like Azure.
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field.
0–2 years of experience or relevant internships/projects in AI or Data Engineering.
Strong programming skills in Python, Java, or C# with experience in AI libraries such as TensorFlow and PyTorch.
Familiarity with Generative AI, Agentic AI frameworks, cloud AI tools (AWS SageMaker, GCP AI, Azure ML), and databases like Snowflake or MongoDB.
Experience or strong familiarity with Generative AI, LLMs, and Agentic AI systems such as LangChain or OpenAI APIs.
Ability to integrate AI/ML models into production environments on cloud platforms, focusing on scalable solutions.
Comfortable working in cross-functional teams to embed AI into business-critical applications and dashboards.