MLOps Engineer
Infosys Limited is hiring for the position of MLOps Engineer in Bangalore, Karnataka, India. It is listed as a full-time position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
Infosys Limited is hiring for the position of MLOps Engineer in Bangalore, Karnataka, India. It is listed as a full-time position.
Skills and tools named in the text include Python, AWS, PyTorch, TensorFlow and LLM.
No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.
The advert does not mention visa sponsorship. If you would move to India for this job, check the official work permit route first (DGJ Insight lists it where we have it).
Dev Global Jobs found this job on Adzuna on Oct 29, 2026.
- Employer
- Infosys Limited
- Location
- Bangalore, Karnataka, India
- Job type
- Full-time
- Pay
- Not stated by the employer
- Found
- Oct 29, 2026 on Adzuna
- Employer text
- 70 words, about 1 min to read
- Apply only on the official page (adzuna.in). Dev Global Jobs is not the employer and never asks for a fee.
- Mirror the skills the advert names (Python, AWS, PyTorch and TensorFlow) in your CV where you really have them; applicant tracking systems look for these words.
- The employer’s text is short; open the official page for the full details before you apply.
- Build or check your CV with the free DGJ CV Builder.
DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: ILOSTAT mean nominal monthly earnings, 2025
UN living-cost index for India (ICSC post adjustment 28.9), as of 1 Oct 2026.
Source: ICSC post adjustment classifications (icsc.un.org)
- Employment visa: Skilled professionals with contract and minimum salary
Official routes: Indian Visa Online (Ministry of Home Affairs)
About the role
Full text from the employer, as published on Adzuna, arranged into sections. Nothing added or removed.
Job Description: Design deploy ML pipelines and LLM powered agents RAG Agentic AI using AWS Bedrock SageMaker LangGraph Develop train and productionize ML models churn recommendation forecasting with MLOps practices Build RAG architectures integrate LLM APIs prompt engineering and responsible AI guardrails Strong Python Scikit learn TensorFlow PyTorch hands on SageMaker vector DBs FAISS Pinecone OpenSearch Must have Python LangGraph LangChain Bedrock OpenAI integration Nice to have LLM fine tun…
This is a short excerpt. Read the full ad at the source (Adzuna)
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