Robust experience in designing, developing, testing, and deploying AI/ML solutions.
Hands-on experience with Generative AI and Large Language Models (LLMs) such as:
OpenAI
Anthropic
Llama
Experience with prompt engineering and AI application development.
Knowledge of Machine Learning and Deep Learning concepts.
Programming & Data Engineering
Strong programming skills in:
Python
SQL
Experience building and optimizing data pipelines for AI model training and inference.
Experience developing scalable APIs and AI-powered services.
Generative AI & RAG
Experience with at least one cloud platform:
Microsoft Azure
AWS
Google Cloud Platform (GCP)
Experience with:
REST APIs
Git
Software Development Best Practices
MLOps & Model Lifecycle Management
Experience implementing MLOps practices including:
Model Deployment
Monitoring
Testing
Versioning
Lifecycle Management
Ability to evaluate, fine-tune, and monitor AI models for accuracy and performance.
Soft Skills
Strong analytical and problem-solving skills.
Excellent communication and stakeholder management capabilities.
Ability to collaborate with business, data, and engineering teams.
Experience translating business requirements into AI solutions.
Good-to-Have Skills
AI Frameworks & Tools
LangChain
LangGraph
Semantic Kernel
Agentic AI Testing & Output Validation
Data Platforms
Snowflake
Databricks
Modern Data Platforms
Containerization & DevOps
Docker
Kubernetes
CI/CD Pipelines
Analytics & Visualization
Streamlit
Power BI
Tableau
AI-powered A
📌 ML Engineer I (Bengaluru)
🏢 UST
📍 Bengaluru
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