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AI / ML · Data Science & Machine Learning

Junior AI Engineer - GenAI & Data Engineering (GCP/AWS/Databricks/Snow

Infosys

2–5 yrsOn-site · Hyderabad, Pune, BengaluruFull Time, PermanentListed 16h ago
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How to stand out for Junior AI Engineer - GenAI & Data Engineering (GCP/AWS/Databricks/Snow at Infosys

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About the role

structured by ORI

Experience: 2-5 years of experience. Position: Junior AI Engineer - GenAI & Data Engineering (GCP/AWS/Databricks/Snowflake) Experience: 2 to 5 years Location: Hyderabad Employment Type: Full-Time Roles & Responsibilities Develop and deploy Generative AI solutions using LLMs and modern AI frameworks.

What you will do

  • Develop and deploy Generative AI solutions using LLMs and modern AI frameworks.
  • Build, test, and optimize AI/ML models for business use cases.
  • Design and implement data pipelines to prepare, transform, and process large datasets.
  • Develop and maintain RAG (Retrieval Augmented Generation) applications and AI-powered assistants.
  • Collaborate with Data Engineers, Data Scientists, and business teams to gather requirements and deliver AI solutions.
Generative AIGCPSnowflakeDatabricks EngineerAWSData EngineeringArtificial IntelligenceMachine LearningLLMsPythonSQLDatabricks
Full posting text

Experience: 2-5 years of experience.

Position: Junior AI Engineer - GenAI & Data Engineering (GCP/AWS/Databricks/Snowflake)

Experience: 2 to 5 years

Location: Hyderabad

Employment Type: Full-Time

Roles & Responsibilities

Develop and deploy Generative AI solutions using LLMs and modern AI frameworks.

Build, test, and optimize AI/ML models for business use cases.

Design and implement data pipelines to prepare, transform, and process large datasets.

Work with cloud platforms such as AWS, GCP, Databricks, or Snowflake to support AI workloads.

Develop and maintain RAG (Retrieval Augmented Generation) applications and AI-powered assistants.

Create prompts, workflows, and integrations for Generative AI applications.

Collaborate with Data Engineers, Data Scientists, and business teams to gather requirements and deliver AI solutions.

Support model deployment, monitoring, and performance optimization activities.

Utilize Python, SQL, and cloud-native tools for data processing and model development.

Ensure data quality, security, and governance standards are followed across AI and data engineering workflows.

Troubleshoot and resolve issues related to AI models, data pipelines, and cloud infrastructure.

Stay updated with emerging technologies in Generative AI, LLMs, data engineering, and cloud platforms.

Key skills: generative ai, GCP, Snowflake, Databricks Engineer, AWS, Data Engineering, Artificial Intelligence, Machine Learning.

Role: Manager - Machine Learning

Industry Type: IT Services & Consulting

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education: UG: Any Graduate, B.C.A. in Any Specialization, B.Sc in Any Specialization, B.Tech / B.E. in Any Specialization

Education: PG: MS/M.Sc(Science) in Any Specialization, MCA in Any Specialization, M.Tech in Any Specialization

generative aiGCPSnowflakeDatabricks EngineerAWSData EngineeringArtificial IntelligenceMachine Learning
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