Indore District Madhya Pradesh Ai/ml engineer Jobs – 86 Open Jobs Today

Technical Architect-AWS Architect
Impetus Technologies —Indore, Madhya Pradesh
- System design
- Master's degree
- SQL
Large Language Model Architect
Accenture —Indore, Madhya Pradesh
- Full-time
- Master's degree
- APIs
- Budgeting
Senior AI/ML Lead
Synsoft Global —Indore, Madhya Pradesh
- Full-time
- Azure
- Computer Science
- Master's degree
Senior Software Engineer (Data)
KSOLVES —Indore, Madhya Pradesh
- Azure
- Computer Science
- Master's degree
Cyber Security Engineer III - 1612
GHX —Indore, Madhya Pradesh
- Data analysis skills
- Master's degree
- AWS
Senior Data Scientist
CIS —Indore, Madhya Pradesh
- Java
- Master's degree
- Math
Senior Data Scientist
NucleusTeq —Indore, Madhya Pradesh
- Full-time
- Azure
- Master's degree
- AWS
Quick apply
CCTV & Network Support Engineer
Camncloud —Rajendra Nagar, Indore, Madhya Pradesh
- ₹10,000 - ₹25,000 a month
- Weekend availability
- Computer networking
- In-person
- Diploma
Quick apply
IT Recruiter
Ziventra —Indore, Madhya Pradesh
- From ₹20,000 a month
- Full-time
- Microsoft Excel
- Azure
- Salesforce
Quick apply
Technical Lead - Staff Developer, Software Development
Vena Solutions —Indore, Madhya Pradesh
- ₹33,34,976 - ₹45,12,026 a year
- Full-time
- Azure
- DevOps
- Software development
Quick apply

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Technical Architect-AWS Architect

Impetus Technologies -
Indore, Madhya Pradesh

Apply Now

Job details

Qualifications

CI/CD
Performance tuning
Law
Spark
System design
Git
Master's degree
SQL
AWS
Analysis skills
Distributed systems
Continuous integration
GitHub
S3
AI
RDS database
Jenkins
GitLab
Communication skills
Python
Identity & access management

Full job description

Indore, Madhya Pradesh, India;Bangalore, Karnataka, India;Pune, Maharashtra, India;Hyderabad, Telangana, India

Qualification

Indore / Bangalore / Pune / Hyderabad

Top of Form

Job Description

Key Responsibilities

Design and develop scalable data engineering solutions using Python, Spark, and SQL to support high‑volume data processing needs.
Architect and optimize end‑to‑end data pipelines on AWS, ensuring reliability, performance, and cost efficiency.
Collaborate with stakeholders to translate BFSI domain requirements into technical architectures and data models.
Lead the development of frameworks/project, ensuring strong governance and best practices.
Conduct code reviews, performance tuning, and solution validation for data engineering components.
Provide architectural guidance and support for Databricks‑based processing (good to have).
Exp of AI/ML components, including feature engineering and model deployment support.
Ensure solutions align with security, compliance, and data quality standards—critical for BFSI environments.
Mentor junior engineers and contribute to technical roadmaps, documentation, and design reviews.
Troubleshoot complex issues across data pipelines, AWS services, and distributed systems.

Required Skills & Experience

12-15 years of strong experience as a Data Engineer or in a similar technical role with exposure to solution design/architecture.
Hands‑on expertise in Python for building robust data pipelines and reusable engineering components.
Advanced experience with Apache Spark (PySpark preferred), including performance tuning and optimization.
Strong SQL expertise—query optimization, transformations, and working with structured/semi‑structured data.
Solid experience with AWS services such as S3, Glue, Lambda, EMR, EC2, RDS, IAM, CloudWatch, airflow, step functions etc.
Strong understanding of observability platforms and their role in monitoring distributed systems.
Hands‑on experience with cloud observability tools, specifically AWS CloudWatch and AWS CloudTrail
Experience in designing data workflows in Databricks (good to have).
Good understanding of AI/ML workflows, model lifecycle, and integration steps.

Core Skills

Strong understanding of LLM architecture, including multi‑model/multi‑modal LLMs.
Knowledge of LLM training concepts and RAG architecture.
Ability to design solutions for structured & unstructured data.
Expertise in scalable AI/LLM system design.

Good to Have

Experience with LLM fine‑tuning (LoRA/SFT).
Exposure to Agentic AI.
Familiarity with AWS Bedrock.

Mandatory BFSI domain knowledge—understanding of business processes, data types, regulatory expectations, and industry data patterns.
Good exposure with version control (Git) and CI/CD pipelines (GitHub Actions, GitLab CI, AWS CodePipeline, Jenkins).
Strong analytical, architectural thinking, and problem‑solving abilities.

Excellent communication and collaboration skills, with the ability to work with business and technical teams.

Skills Required

AWS Architect

Role

Indore / Bangalore / Pune / Hyderabad

Top of Form

Job Description

Key Responsibilities

Design and develop scalable data engineering solutions using Python, Spark, and SQL to support high‑volume data processing needs.
Architect and optimize end‑to‑end data pipelines on AWS, ensuring reliability, performance, and cost efficiency.
Collaborate with stakeholders to translate BFSI domain requirements into technical architectures and data models.
Lead the development of frameworks/project, ensuring strong governance and best practices.
Conduct code reviews, performance tuning, and solution validation for data engineering components.
Provide architectural guidance and support for Databricks‑based processing (good to have).
Exp of AI/ML components, including feature engineering and model deployment support.
Ensure solutions align with security, compliance, and data quality standards—critical for BFSI environments.
Mentor junior engineers and contribute to technical roadmaps, documentation, and design reviews.
Troubleshoot complex issues across data pipelines, AWS services, and distributed systems.

Required Skills & Experience

12-15 years of strong experience as a Data Engineer or in a similar technical role with exposure to solution design/architecture.
Hands‑on expertise in Python for building robust data pipelines and reusable engineering components.
Advanced experience with Apache Spark (PySpark preferred), including performance tuning and optimization.
Strong SQL expertise—query optimization, transformations, and working with structured/semi‑structured data.
Solid experience with AWS services such as S3, Glue, Lambda, EMR, EC2, RDS, IAM, CloudWatch, airflow, step functions etc.
Strong understanding of observability platforms and their role in monitoring distributed systems.
Hands‑on experience with cloud observability tools, specifically AWS CloudWatch and AWS CloudTrail
Experience in designing data workflows in Databricks (good to have).
Good understanding of AI/ML workflows, model lifecycle, and integration steps.

Core Skills

Strong understanding of LLM architecture, including multi‑model/multi‑modal LLMs.
Knowledge of LLM training concepts and RAG architecture.
Ability to design solutions for structured & unstructured data.
Expertise in scalable AI/LLM system design.

Good to Have

Experience with LLM fine‑tuning (LoRA/SFT).
Exposure to Agentic AI.
Familiarity with AWS Bedrock.

Mandatory BFSI domain knowledge—understanding of business processes, data types, regulatory expectations, and industry data patterns.
Good exposure with version control (Git) and CI/CD pipelines (GitHub Actions, GitLab CI, AWS CodePipeline, Jenkins).
Strong analytical, architectural thinking, and problem‑solving abilities.

Excellent communication and collaboration skills, with the ability to work with business and technical teams.

Experience

12 to 18 years

Job Reference Number

13579

Apply Now

Refine Your Search

ai/ml engineer jobs in indore district madhya pradesh

Technical Architect-AWS Architect

Large Language Model Architect

Senior AI/ML Lead

Senior Software Engineer (Data)

Cyber Security Engineer III - 1612

Senior Data Scientist

Senior Data Scientist

CCTV & Network Support Engineer

IT Recruiter

Technical Lead - Staff Developer, Software Development

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