6 Jobs Found
Today
Experience
-
0 to 2
Key
Skills -
Python,
TensorFlow,
PyTorch,
Scikit-learn,
NLP,
LLMs,
vector databases,
embeddings,
Spark,
Pandas,
SQL,
MLOps,
CI/CD for ML,
model versioning,
Docker,
cloud ML services,
SageMaker,
Vertex AI,
Azure ML,
APIs,
microservices,
production ML systems,
statistics,
linear algebra,
RAG pipelines,
LLM fine-tuning,
reinforcement learning,
GPU optimization.,
Today
Experience
-
3 to 5
Key
Skills -
Python,
Flask,
Django,
FastAPI,
Core Python,
Iterators,
Generators,
OOP Concepts,
Python REPL,
Exception Handling,
Data Structures,
Object Relational Mapper (ORM),
AI Search,
Vector Database,
Relational Data Processing,
Unstructured Data Processing,
Azure App Services,
Cloud Deployment,
AI Application Development,
Machine Learning Integration,
API Development.,
10
Days Ago
Experience
-
0 to 2
Key
Skills -
AI Engineering,
Machine Learning,
Deep Learning,
Agentic AI,
Knowledge Base Development,
Vector Databases,
FAISS,
Pinecone,
Weaviate,
Semantic Search,
Prompt Engineering,
Prompt Libraries,
LangChain,
Guidance,
MLOps,
Feature Store Management,
Deployment Pipelines,
Feedback Loop Design,
AI Frameworks,
Python,
Scalable AI Systems,
Model Optimization,
Data Pipelines,
Cloud Platforms,
API Integration,
Software Development,
Clean Code Practices,
Code Review,
Peer Programming,
Automation,
DevOps for AI,
AI Solution Architecture,
33
Days Ago
Experience
-
5 to 10
Key
Skills -
LLM (Large Language Models),
AI & Machine Learning,
NLP (Natural Language Processing),
Deep Learning (CNN,
RNN,
LSTM,
Transformers),
Prompt Engineering & RAG,
Fine-tuning AI Models,
Python,
R,
Spark,
TensorFlow,
PyTorch,
Snowflake,
Databricks,
NoSQL & Vector Databases,
Cloud (CPU/GPU) Environments,
,
38
Days Ago
Experience
-
9 to 12
123
Days Ago
Experience
-
3 to 5
Key
Skills -
Python,
Enterprise data architecture and distributed systems,
MLOps LLMOps pipeline design and automation,
RAG Architecture design and vector database optimization,
Agentic AI systems and multi agent orchestration,
Microservices and API first architecture,
AI GenAI Libraries frameworks,
Production scale LLM implementation and fine tuning
,