ML Engineer I :: AI Engineer (Bengaluru)

ML Engineer I :: AI Engineer (Bengaluru)

12 Aug
|
UST
|
Bengaluru

12 Aug

UST

Bengaluru

Role Description AI Engineer Experience Range: 4-10+ Years (AI/ML Engineering, Generative AI, or Data Science Experience) Hiring Location: Trivandrum, Cochin, Pune, Noida, Chennai, Bangalore, Hyderabad Must-Have Skills AI & Machine Learning Strong 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 Solid 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 building:

Retrieval-Augmented Generation (RAG) solutions

AI Agents / Agentic AI applications

LLM-based enterprise applications

Knowledge of

Vector Databases

Semantic Search

Knowledge Retrieval Architectures

Cloud & DevOps 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 Analytics Dashboard Development Advanced AI Technologies Vector Databases

Semantic Search

RAG Optimization Techniques

LLM Fine-Tuning

Multi-Agent Frameworks Governance & Security Responsible AI practices

AI Governance

Enterprise Security Standards

AI Compliance Frameworks Skills Agentic AI, Databricks, Generative AI, Machine Learning, Python, RAG, LLMs, Snowflake, Prompt Engineering, MLOps, LangChain

📌 ML Engineer I :: AI Engineer (Bengaluru)
🏢 UST
📍 Bengaluru

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