On-Site
Full-Time
Pune, Maharashtra
India
About the Role
Position: AI Engineer
Experience: 8+ Years
Locations: Pune
Notice: Immediate to 30 days
Job Description:
Skills:
• Proficient:
o Languages/Framework: Fast API, Azure UI Search API (React)
o Cloud: Azure Cloud Basics (Azure DevOps)
o Gitlab: Gitlab Pipeline
o Ansible and REX: Rex Deployment
o Data Science: Prompt Engineering + Modern Testing
o Data pipeline development
o Understanding of AI/ML algorithms and their applications
o MLOps frameworks
o Knowledge of cloud platforms (Azure ML especially)
o Model deployment process
o Data pipeline monitoring
Expert: (in addition to proficient skills)
o Languages/Framework: Azure Open AI
o Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search
o Databases and ETL: Azure Storage Account, Postgresql, Cosmos
o Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
o Knowledge of cloud platforms (AWS SageMaker, Google AI Platform)
o Expertise in data preprocessing, feature engineering, and model evaluation
o Understanding of software engineering principles (version control, CI/CD, containerization)
o Familiarity with distributed computing and big data tools (Spark, Hadoop)
o Ability to optimize models for performance and scalability
o Experience with Azure AI Search
Experience: 8+ Years
Locations: Pune
Notice: Immediate to 30 days
Job Description:
Skills:
• Proficient:
o Languages/Framework: Fast API, Azure UI Search API (React)
o Cloud: Azure Cloud Basics (Azure DevOps)
o Gitlab: Gitlab Pipeline
o Ansible and REX: Rex Deployment
o Data Science: Prompt Engineering + Modern Testing
o Data pipeline development
o Understanding of AI/ML algorithms and their applications
o MLOps frameworks
o Knowledge of cloud platforms (Azure ML especially)
o Model deployment process
o Data pipeline monitoring
Expert: (in addition to proficient skills)
o Languages/Framework: Azure Open AI
o Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search
o Databases and ETL: Azure Storage Account, Postgresql, Cosmos
o Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
o Knowledge of cloud platforms (AWS SageMaker, Google AI Platform)
o Expertise in data preprocessing, feature engineering, and model evaluation
o Understanding of software engineering principles (version control, CI/CD, containerization)
o Familiarity with distributed computing and big data tools (Spark, Hadoop)
o Ability to optimize models for performance and scalability
o Experience with Azure AI Search