Malur Karnataka Support engineer Jobs – 116 Open Jobs Today

ML Engineer I
UST —Bengaluru, Karnataka
- Azure
- Computer Science
- Master's degree
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14d
Lead I - Software Engineering
UST —Bengaluru, Karnataka
- APIs
- Python
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1d
Principal Engineer – Full Stack (.NET & Angular)
EProductivity Software Packaging Technol —Whitefield, Bengaluru, Karnataka
- Hybrid work
- Azure
- Computer Science
- Software troubleshooting
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5h
Developer II - Embedded Software
UST —Bengaluru, Karnataka
- Computer Science
- Master's degree
- Bachelor's degree
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Head of AI Engineering & Cyber Solutions
Société Générale —Bengaluru, Karnataka
- Azure
- Java
- Master's degree
13d
Senior Technical Architect
Clarivate —Bengaluru Urban District, Karnataka
- Full-time
- Hybrid work
- Azure
- Computer Science
- AWS
14h
Databricks Architect
Marlabs —Bengaluru, Karnataka
- Full-time
- Azure
- SQL
- AWS
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Developer III - Embedded Software
UST —Bengaluru, Karnataka
- Computer Science
- Master's degree
- Bachelor's degree
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.Net Lead software Engineer
EProductivity Software Packaging Technol —Whitefield, Bengaluru, Karnataka
- Hybrid work
- Databases
- Analysis skills
- Software development
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Generative AI Sr Lead
BirlaSoft —Bengaluru, Karnataka
- Azure
- Master's degree
- AWS
Lead Cloud Architect- (AI Platforms)
UST —Bengaluru, Karnataka
- Azure
- AWS
- AI
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ML Engineer I

UST -
Bengaluru, Karnataka

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Job details

14 days ago

Qualifications

CI/CD
Power BI
Azure
Law
Computer Science
Kubernetes
Git
Google Cloud Platform
Tableau
Master's degree
Databases
SQL
OS Kernels
AWS
Analysis skills
Docker
Bachelor's degree
Machine learning
Continuous integration
REST
Software development
APIs
Data science
AI
Communication skills
Python
Data Science

Full job description

Role description

Job Title: AI Engineer
Experience Level: 5- 9 Years
Work Location: Bangalore, Hyderabad, Chennai, Trivandrum, Kochi, Noida, Pune,Gurgaon

We are seeking an innovative and results-driven AI Engineer to design, develop, test, and deploy AI-powered solutions that deliver business value through automation, advanced analytics, and intelligent applications.

The ideal candidate will collaborate with cross-functional teams to build scalable Machine Learning (ML) and Generative AI solutions that enhance operational efficiency, improve customer experiences, and accelerate digital transformation initiatives.

Key Responsibilities

Design, develop, test, and deploy AI/ML and Generative AI solutions to solve complex business challenges.
Build, maintain, and optimize data pipelines to support AI model training and inference.
Develop and integrate Large Language Model (LLM) applications, AI agents, and Retrieval-Augmented Generation (RAG) solutions.
Create scalable APIs and AI services for enterprise-grade applications.
Test agentic AI solutions and validate outputs to ensure accuracy, reliability, and expected behavior.
Collaborate with data engineers, software developers, product teams, and business stakeholders to translate requirements into AI-driven solutions.
Evaluate, fine-tune, and monitor AI models for performance, accuracy, scalability, and reliability.
Implement MLOps best practices for deployment, monitoring, testing, and lifecycle management of AI models.
Ensure AI solutions comply with enterprise security, governance, privacy, and Responsible AI standards.
Stay current with emerging AI technologies, frameworks, and industry trends, and recommend innovative approaches.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Strong programming skills in Python and SQL.
Hands-on experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Llama, or similar platforms.
Experience with prompt engineering techniques.
Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP).
Experience developing and consuming REST APIs.
Proficiency with Git and software development best practices.
Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

Experience with modern data platforms such as Snowflake and Databricks.
Knowledge of vector databases, semantic search, and RAG architectures.
Hands-on experience with AI orchestration frameworks such as:
- LangChain
- LangGraph
- Semantic Kernel
Familiarity with:
- Docker
- Kubernetes
- CI/CD pipelines
Experience developing AI-powered dashboards and applications using Streamlit.

Preferred Technical Skills

Programming & Data

Python
SQL

Artificial Intelligence & Machine Learning

Machine Learning
Deep Learning
Generative AI
Large Language Models (LLMs)
Prompt Engineering

AI Architecture

Retrieval-Augmented Generation (RAG)
Vector Databases
Semantic Search
Agentic AI Development
Agentic AI Testing and Output Validation

Cloud & Data Platforms

Microsoft Azure
Snowflake
Databricks

Software Engineering

REST APIs
Microservices
Git
Docker
Kubernetes
CI/CD

Visualization & Analytics

Streamlit
Power BI
Tableau

Success Measures

The successful candidate will:

Deliver scalable AI solutions that improve business outcomes.
Automate manual processes through AI-driven workflows.
Improve model accuracy, performance, and reliability.
Successfully test agentic workflows and validate outputs against expected results.
Partner effectively with stakeholders to translate business needs into AI capabilities.
Continuously evaluate and adopt emerging AI technologies to drive innovation.

Skills

Agentic AI, Databricks, Machine Learning, LLMs, LangChain, Generative AI, Snowflake, RAG, Python

About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

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support engineer jobs in malur karnataka

ML Engineer I

Lead I - Software Engineering

Principal Engineer – Full Stack (.NET & Angular)

Developer II - Embedded Software

Head of AI Engineering & Cyber Solutions

Senior Technical Architect

Databricks Architect

Developer III - Embedded Software

.Net Lead software Engineer

Generative AI Sr Lead

Lead Cloud Architect- (AI Platforms)

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