Bengaluru Karnataka Aiml Jobs – 49 Open Jobs Today

DEQ - Manager - AIML
KPMG —Bengaluru, Karnataka
- Full-time
- Azure
- Master's degree
- Databases
Assistant Manager | Machine learning, Artificial Intelligence | Hyderabad | TTC - DOMESTIC
Deloitte —Bengaluru, Karnataka
- Microsoft Powerpoint
- Azure
- Computer Science
Business Transformation Associate Manager
Accenture —Bengaluru, Karnataka
- Full-time
- Management
- English
- Project management
Custom Software Engineer
Accenture —Bengaluru, Karnataka
- Full-time
- Analysis skills
- Software development
- Agile
Applied AI ML Lead
JPMorganChase —Bengaluru, Karnataka
- Full-time
- Azure
- Master's degree
- AWS
11d
Lead Software Engineer - Python and AI/ML
JPMorganChase —Bengaluru, Karnataka
- Full-time
- Azure
- Master's degree
- AWS
6d
Business Transformation Assoc Manager
Accenture —Bengaluru, Karnataka
- Full-time
- Engineering
- English
- Master's degree
Mid Data Science & AIML, GenAI Lead/Engineer
NTT Ltd —Bengaluru, Karnataka
- Full-time
- Master's degree
- Machine learning
- AI
Senior - AIML - DEQ
KPMG —Bengaluru, Karnataka
- Full-time
- Azure
- Master's degree
- Databases
13d
Associate Professor – Computer Science & Engineering(AIML Data Science)
Pragnova Pvt Ltd —Bengaluru, Karnataka
- Full-time
- Computer science
- Doctoral degree
- Research
Quick apply
Embedded Software Engineer II
Lytx —Bengaluru, Karnataka
- Full-time
- Computer Science
- Master's degree
- Analysis skills
Senior GenAI Engineers
NTT Ltd —Bengaluru, Karnataka
- Full-time
- Azure
- Master's degree
- AWS
Senior Data Scientist
Fractal Analytics —Bengaluru, Karnataka
- Full-time
- Machine learning
- Team management
- AI
Senior Power BI & SQL Developer
Quadwave —Bengaluru, Karnataka
- Azure
- SQL
- Health insurance
Application & Support Engineer .Net
Quadwave —Bengaluru, Karnataka
- Computer Science
- Software troubleshooting
- Bachelor's degree
- Health insurance
- Work from home
Engineering Lead - Extreme Retrieval
Microsoft —Bengaluru, Karnataka
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Senior Application & Cloud Support Engineer - Linux
Quadwave —Bengaluru, Karnataka
- Azure
- Computer Science
- AWS
- Health insurance
Sr.Manager Software Engineer
JPMorganChase —Bengaluru, Karnataka
- Full-time
- Software troubleshooting
- Master's degree
- AWS
4d
.Net Fullstack Lead
Nous Infosystems —Bengaluru, Karnataka
- Oracle
- Software troubleshooting
- Master's degree
Senior SharePoint & PowerApps Developer
Quadwave —Bengaluru, Karnataka
- Azure
- SQL
- SharePoint
- Health insurance

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DEQ - Manager - AIML

KPMG -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

Azure
Law
MCP
Git
Master's degree
Databases
AWS
Quality assurance
GitHub
APIs
Python
Debugging

Full job description

JOB DESCRIPTION

About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

Overview

This role demand strong GenAI experience, emerging mastery in Agentic AI Systems, and a good foundation in classical ML.

You will design and build intelligent, tool-using agents, multi-agent systems, RAG pipelines, and LLM-based applications leveraging the LangChain , LangGraph ecosystem, LangSmith for evaluation.

________________________________________

Key Responsibilities

1. GenAI / LLM Application Development

Build GenAI applications using:

o LangChain, LangGraph

Implement RAG architectures with:

o Retrieval, reranking, chunking, memory strategies

o Vector DBs (faiss, aisearch, opensearch, PG vector etc).

Design prompt-engineering strategies:

o Instruction-following

o ReAct (Reasoning + Acting)

o Chain-of-thought structuring

o Self-reflection and planning loops

Evaluation Strategy

o Implement evaluation frameworks for Classical ML and GenAI systems, covering statistical validation, reliability, and robustness.

o Assess LLM outputs, RAG pipelines, and agent workflows for grounding quality, relevance, and retrieval accuracy (e.g., recall@k, precision@k).

o Use LangSmith for tracing, automated evaluations, regression testing, and continuous system level quality monitoring

2. Agentic System Architecture

Build agentic workflows:

o Tool-calling agents

o Planner–executor systems

o Multi-agent communication systems

o Hierarchical agent architectures

o Deep Agents

Integrate memory systems:

o episodic memory

o semantic memory

o vector-based long-term knowledge

Implement evaluation frameworks for agentic systems using LangSmith.

3. Model Context Protocol (MCP) & Tooling

Implement MCP servers for external tool connectivity.

Build tools that allow agents to interact with:

o APIs

o Code execution environments

o Knowledge bases

o Company applications

4. Classical ML (Foundational DS Skills)

Apply ML models to structured/unstructured data.

Conduct feature engineering, model selection, hyperparameter tuning.

Build interpretable models where required.

5. Engineering & Integration

Collaborate with backend engineering teams to seamlessly integrate agentic and GenAI systems into production applications.

Implement observability, tracing, and monitoring for GenAI workflows using LangSmith to ensure reliability and system‑level transparency.

6. Cloud ML-Ops & Quality

ML Modelling, data drift, concept drift, model quality monitoring.

Hands‑on experience across AWS/ Azure/ Databricks, with flexibility to work on any cloud platform.

Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub, Markdown)

________________________________________

Required Skills & Experience

5–10 years total experience, with 2–4+ years hands-on GenAI.

Hands-on expertise with:

o LangChain, LangGraph

o LangSmith (tracing, metrics, evaluations)

o MCP tooling and agent tool integration

o ReAct, Tree of Thoughts, multi-agent orchestration

o RAG patterns and vector databases

Strong coding expertise in Python.

Classical ML foundations (tree models, regression, etc.).

Experience working with LLM APIs and/or open-source LLMs.

Experience building and debugging production-quality GenAI pipelines.

Aws/azure

GIT Ops

Prior experience building complex multi-agent systems for real-world applications.

Knowledge of multi-modal LLMs (vision, speech, code).

Familiarity with structured evaluation of LLM systems (hallucination tests, safety assessments etc ).

Experience in enterprise-grade LLM deployments.

Equal employment opportunity information

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.

QUALIFICATIONS

BTech

Apply Now

Refine Your Search

aiml jobs in bengaluru karnataka

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