Developer Iii Software Engineering

Year    TN, IN, India

Job Description

3 - 5 Years
2 Openings
Chennai, Kochi, Trivandrum


Role description




Job Title: Cloud AI/ML Engineer - Generative AI (AWS)





About the Role





We are seeking a skilled and forward-thinking

Cloud AI/ML Engineer

to lead the design, development, and support of scalable, secure, and high-performance

generative AI applications on AWS

. You'll operate at the crossroads of cloud engineering and artificial intelligence, enabling rapid and reliable delivery of cutting-edge AI solutions using services like

Amazon Bedrock

and

SageMaker

. This is an opportunity to join a collaborative team driving innovation in AI infrastructure, with a strong focus on automation, security, observability, and performance optimization.


Roles and Responsibilities




1. AI/ML Integration




Utilize

Amazon Bedrock

for leveraging foundation models and

Amazon SageMaker

for training and deploying custom models. Design and maintain scalable generative AI applications using AWS-native AI/ML tools and services.

2. Deployment & Operations




Build and manage

CI/CD pipelines

to automate infrastructure provisioning and model lifecycle workflows. Monitor infrastructure and model performance using

Amazon CloudWatch

and other observability tools. Ensure production-grade availability, fault tolerance, and performance of deployed AI systems.

3. Security & Compliance




Enforce security best practices using

IAM

, data encryption, and access control policies. Maintain compliance with relevant organizational, legal, and industry-specific data protection standards.

4. Collaboration & Support




Partner with

data scientists, ML engineers, and product teams

to translate requirements into resilient cloud-native solutions. Diagnose and resolve issues related to model behavior, infrastructure health, and AWS service usage.

5. Optimization & Documentation




Continuously assess and optimize

model performance

,

infrastructure cost

, and

resource utilization

. Document deployment workflows, architectural decisions, and operational runbooks for team-wide reference.

6. Mentorship & Guidance




Mentor peers and junior engineers by sharing knowledge of AWS services and

generative AI best practices

.

Must-Have Skills & Experience




Expertise in

AWS services

, particularly

SageMaker, Bedrock, EC2, IAM

, and related cloud-native tools. Strong coding skills in

Python

, with experience in developing AI applications. Hands-on experience with

Docker

for containerization and familiarity with

Kubernetes

for orchestration. Proven experience building and maintaining

CI/CD pipelines

for AI/ML workloads. Knowledge of

data security

, access control, and monitoring within cloud environments. Experience managing

cloud-based data flows

and infrastructure for ML workflows.

Good-to-Have (Preferred) Skills




AWS certifications, such as:

+

AWS Certified Machine Learning - Specialty


+

AWS Certified DevOps Engineer


Understanding of

responsible AI practices

, particularly in generative model deployment. Experience in

cost optimization

,

auto-scaling

, and

resource management

for production AI workloads. Familiarity with tools like

Terraform, CloudFormation

, or

Pulumi

for infrastructure as code (IaC). Exposure to

multi-cloud

or hybrid cloud strategies involving AI/ML services.

Skills




Aws,Python,Docker,Kubernets



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.

Beware of fraud agents! do not pay money to get a job

MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.


Job Detail

  • Job Id
    JD3697110
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    TN, IN, India
  • Education
    Not mentioned
  • Experience
    Year