728 Jobs Found
95
Days Ago
95
Days Ago
Experience
-
0 to 2
Key
Skills -
Cloud Platform,
GCP Networking service,
Google Cloud NAT ,
Cloud Security,
AWS Infrastructure Security,
AWS Shield,
Full stack,
LAMP stack,
Frontend(Python)+Enterprise layer(Apache,
Machine Learning,
MLOps ,
Machine Learning,
NLP-Speech Analytics ,
Microservices,
Microservices API Management,
96
Days Ago
Experience
-
4 to 7
96
Days Ago
96
Days Ago
Experience
-
2 to 4
96
Days Ago
Experience
-
2 to 4
96
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
,
96
Days Ago
Experience
-
0 to 5
Key
Skills -
python3,
fastapi,
spark,
iceberg,
rest,
restful web services,
kafka,
gen ai,
pandas,
polaris,
numpy,
sql,
nosql,
postgres,
mysql,
mongodb,
gridfs,
jwt,
oauth2,
ddd,
microservices,
aws,
gcp,
azure,
ci/cd,
data engineering,
data wrangling,
bi tools,
object-oriented design,
software development lifecycle,
cloud platforms,
communication skills,
problem-solving,
full stack development,
scalable applications.,
96
Days Ago
Experience
-
0 to 3
Key
Skills -
data engineering,
data integration,
etl,
informatica powercenter,
data warehousing,
business intelligence,
data migration,
cloud,
ms-azure,
power bi,
big data,
sql,
relational databases,
unix,
shell scripting,
python,
data processing,
real-time processing,
batch processing,
data analysis,
data management systems,
unstructured data,
data pipelines,
data transformation,
information management.,
97
Days Ago
Experience
-
7 to 9
97
Days Ago
Experience
-
3 to 5
109
Days Ago
Experience
-
4 to 6
109
Days Ago
Experience
-
0 to 2
Key
Skills -
Nlp,
Python,
AWS,
Sql,
Gcp,
Computer Vision,
Azure,
ML for Responsible AI,
AI capabilities,
auto ML,
datasets,
reinforcement learning,
structured data,
R,
Model fine tuning approaches for Large models,
pruning,
Generative AI models,
Statistical ML algorithms,
pre built models,
model deployment,
Model ensembling,
Scaling,
hyperscalers,
Speech,
Deep Neural Network architectures,
software development architectures,
Model Quantization,
model fine tuning
,
112
Days Ago
Experience
-
0 to 2
112
Days Ago
Experience
-
0 to 1