AI and ML
KeySkills
Company Name
Infosys Ltd ( Bangalore )
Job Description
- Key Responsibilities:
- Data Science Consultant with machine learning and Python experience
- Knowledge on end to end architecture of Data Science and machine learning project
- Experience in productionizing machine learning models and guide development team for implementing machine learning use cases
- The candidate should provide technology consulting for defining right Data Science and ML use cases
Technical Requirements:- Data collection profiling EDA data preparation
- AI Model development tuning validation
- Visualization tools eg
- PowerBI tableau
- Present findings to business users project management teams
- Propose ML based solution approaches and estimates for new use cases
- Contribute to AI based modules in Infosys solutions development
- Explore new advances in AI continuously and execute PoCs
- Mentoring guide other team members
- ML algorithms
- AI domains NLP speech computer vision
- Supervised Unsupervised Reinforcement learning
- Tools for data analysis auto ML model deployment and scaling
- Knowledge of datasets
- Programming Python
- Databases
- Knowledge of cloud platforms Azure AWS GCP
Job Details
Experience :
0 To 2
Number Of
Vacancies :
10
Job Type :
Permanent
Industry Type : IT/Software
Salary
:
2 Lac - 4 Lac
P.A
Education Summary
UG :
BE/B.Tech
PG :
MCA
Contact Details
Contact
Person :
NA
Contact
Number :
7338856831
e-mailId :
askus@infosys.com
Address :
Infosys Ltd. Plot No. 1, Rajiv Gandhi Infotech Park, Hinjawadi, Taluka Mulshi, Pune.
Office Location
Central Jakarta No 1234, Jakarta, IndonesiaFull Stack Engineer
Experience -
2 to 5
Python Automation Testing
Experience -
0 to 2
Senior Java Developer
Experience -
8 to 12
AIML Engineer
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.,