GEN AI Engineer

Role & responsibilities

Skills and Attributes

Professional Experience

• A minimum of 5-8 years in building and deploying AI and Gen AI solutions on-premises or on cloud platforms.

Preferred / GoodtoHave Skills

• Hand-on experience in deploying AI/ML solutions on different cloud platforms like Azure, AWS and/or Google Cloud.
• Experience in using and orchestration LLM models on cloud platforms i.e., OpenAI @ Azure/AWS Bedrock/ GCP Vertex AI or Gemini AI
• Experience in Agentic frameworks building and deploying (e.g. Semantic Kernel, CrewAI, LangGraph etc.)
• Experience in writing SQL and data modelling.
• Experience in designing and implementation of AI solution using microservice based architecture.
• Understanding of machine learning, deep learning, NLP and GenAI.
• Strong programming skills in Python and/or pyspark.
• Proven experience in integrating authentication security measures within machine learning operations and applications.
• Excellent problem-solving skills and ability to connect AI capabilities to business value.
• Strong communication and presentation skills.
• Proven experience in AI/ML solution deployment process on Kubernetes, Web Apps, Databricks or on similar platforms.
• Familiarity with MLOps concepts and tech stack. Good to know code versioning, MLFlow, batch prediction and real-time end point workflows.
• Familiarity with Azure DevOps / GitHub actions/ Jenkins / Terraform / AWS CFT etc.
• Familiarity with Responsible AI concepts
• strong Background in Azure Based AI and Data technologies is a must.
• Knowledge of other Hyperscalars will be additional Advantage