Gariahat Road Kolkata West Bengal Senior ai/ml engineer Jobs – 18 Open Jobs Today

Senior DevOps Engineer – AWS & AI
UST —Kolkata, West Bengal
- Azure
- DevOps
- AWS
Quick apply
3d
AI/ML Engineer
Institute of NeuroDevelopment —Shobhabazar, Kolkata, West Bengal
- Full-time
- Azure
- Computer Science
- Master's degree
- Paid time off
- Paid sick time
Quick apply
6d
Senior AI/ML Engineer
Red Apple Technologies —Kolkata, West Bengal
- Full-time
- Computer Science
- B.Sc
- Master's degree
- Health insurance
AI & ML Engineer
Geogo Techsolutions —Kolkata, West Bengal
- Full-time
- Agile
- AI
- Python
Senior AI Engineer
Primacy Infotech Pvt Ltd. —Kolkata, West Bengal
- ₹20,000 - ₹40,000 a month
- Full-time
- Microsoft Access
- ERP systems
- Databases
Quick apply
Head of Tech (Engineering & AI)
Portcast —Kolkata, West Bengal
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- System design
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Sr. Manager – AI & Intelligent Automation (SW Lifecycle)
Visteon Corporation —Kolkata, West Bengal
- Full-time
- Computer Science
- DevOps
- Master's degree
Senior Devops Engineer
UST —Kolkata, West Bengal
- Azure
- DevOps
- AWS
Quick apply
Custom Software Engineer
Accenture —Kolkata, West Bengal
- Full-time
- Azure
- Computer Science
- DevOps
AI Infrastructure Architect
Accenture —Kolkata, West Bengal
- Full-time
- Computer Science
- Java
- Databases
8d
S&C Global Network - AI - CDI - Data Science Sr Manager
Accenture —Kolkata, West Bengal
- Full-time
- Azure
- Computer Science
- Master's degree
Front End Developer
CodeClouds —Kolkata, West Bengal
- Full-time
- Azure
- DevOps
- Master's degree
- Health insurance
- Paid time off
AI Product Security - AppSec - Assistant Manager
Grant Thornton INDUS —Kolkata, West Bengal
- Azure
- DevOps
- Master's degree
Data Platform Architect
Accenture —Kolkata, West Bengal
- Full-time
- Computer Science
- Java
- Databases
8d

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Senior DevOps Engineer – AWS & AI

UST -
Kolkata, West Bengal

Quick apply

Job details

3 days ago

Qualifications

CI/CD
Performance tuning
Cloud infrastructure
Azure
Cloud architecture
Incident management
Kubernetes
DevOps
Encryption
Git
Bash (Unix shell)
RBAC
AWS
Docker
Cloud security
Terraform
Continuous integration
Scripting
GitHub
APIs
Agile
S3
AI
RDS database
Jenkins
GitLab
Communication skills
Python
PowerShell
Identity & access management
AWS CloudFormation

Full job description

Role description

As a Senior DevOps Engineer, you will design, build, automate, and operate the AWS cloud infrastructure powering the organization's AI and Data platforms. You will be responsible for creating scalable, secure, and reliable deployment pipelines, infrastructure automation, observability frameworks, and platform operations supporting AI/ML, Agentic AI, and enterprise applications.

Working closely with Software Engineers, AI/ML Engineers, Data Teams, and Security stakeholders, you will help transform development workflows into production-ready automated solutions while ensuring enterprise standards for security, availability, performance, compliance, and cost optimization.

This is a contract role within a distributed Agile environment.

Key Responsibilities

Design, implement, and maintain highly available, secure, and scalable AWS cloud infrastructure.
Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as:
- Terraform
- AWS CDK
- CloudFormation
Build, optimize, and maintain CI/CD pipelines using:
- GitHub Actions
- Jenkins
- GitLab CI/CD
- Azure DevOps (or similar)
Deploy and manage containerized applications using:
- Docker
- Amazon ECS
- Amazon EKS
- Kubernetes
Implement observability solutions using:
- Amazon CloudWatch
- Prometheus
- Grafana
- ELK / OpenSearch
Automate platform operations and cloud resource lifecycle management.
Improve deployment reliability, release automation, and platform performance.
Implement enterprise security best practices including:
- IAM
- Role-Based Access Control (RBAC)
- Secrets Management
- Encryption
- Security Monitoring
Support AI/ML platform deployments, APIs, data pipelines, and model-serving infrastructure.
Optimize cloud costs through:
- Resource monitoring
- Capacity planning
- Tagging strategy
- FinOps practices
Participate in:
- Incident response
- Root cause analysis
- Disaster recovery planning
- Platform resiliency improvements
Maintain technical documentation and promote DevOps best practices across engineering teams.

Team Overview

You will be part of the Data & AI Platform Organization, supporting cloud infrastructure and platform engineering initiatives that enable AI, analytics, and enterprise applications across AWS environments.

Core Technology Areas

AWS Cloud Infrastructure
DevOps & Platform Engineering
CI/CD Automation
Infrastructure as Code (IaC)
Docker & Kubernetes
Platform Observability & Monitoring
Cloud Security & Compliance
AI Platform Deployment & Operations
Site Reliability Engineering (SRE)
Cloud Cost Optimization & Governance

Required Experience

6+ years of experience in:
- DevOps Engineering
- Cloud Engineering
- Site Reliability Engineering (SRE)
- Infrastructure Engineering
3+ years of hands-on experience designing and managing production workloads on AWS.
Strong scripting skills in:
- Python
- Bash
- PowerShell
Experience supporting highly available, distributed production environments.
Strong troubleshooting, incident management, and performance tuning skills.
Excellent communication and collaboration skills.
Ability to work independently in Agile environments.

Required AWS Services

Amazon EC2
Amazon VPC
AWS IAM
Amazon S3
AWS Lambda
Amazon ECS
Amazon EKS
Amazon API Gateway
Amazon CloudWatch
Amazon Route 53
Amazon ECR
Amazon RDS

Required Technical Skills

Infrastructure as Code

Terraform
AWS CDK
CloudFormation

CI/CD

GitHub Actions
Jenkins
GitLab CI/CD
Azure DevOps

Containers & Orchestration

Docker
Kubernetes
Amazon ECS
Amazon EKS

Monitoring & Observability

Amazon CloudWatch
Prometheus
Grafana
ELK Stack
OpenSearch

Security

IAM
RBAC
Secrets Management
Encryption
Security Monitoring

Additional Skills

Networking fundamentals
Cloud architecture best practices
AI/ML platform operations
Performance optimization
FinOps and cloud cost management

Preferred Candidate Profile

The ideal candidate should have strong expertise in AWS cloud infrastructure, Infrastructure as Code, CI/CD automation, container orchestration, Kubernetes, platform observability, and cloud security. Experience supporting AI/ML platforms and implementing scalable, secure, and production-grade DevOps solutions is highly desirable.

Skills

AWS, AWS CloudFormation, Amazon CloudWatch

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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