Lead Full Stack

vThink Technologies; Chennai District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

vThink Technologies is seeking an experienced Senior AI Cloud Engineer to design, build, deploy, and optimize AI/ML solutions on cloud platforms. You will work with data scientists, software engineers, DevOps, and stakeholders to deliver secure, production-ready AI systems.

You will design scalable AI/ML architectures, build MLOps pipelines, develop Generative AI and LLM applications, and ensure performance, security, and cost efficiency across enterprise environments.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• 6+ years of software or cloud engineering experience.
• 3+ years hands-on experience with AI/ML and cloud-based AI services.

Responsibilities

• Design and implement scalable AI/ML architectures on cloud platforms.
• Build and maintain MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
• Develop and deploy Generative AI and Large Language Model (LLM) applications.
• Integrate AI services into enterprise applications and business workflows.
• Optimize AI workloads for performance, scalability, reliability, and cost efficiency.
• Implement security, governance, and compliance best practices for AI solutions.
• Automate infrastructure provisioning using Infrastructure as Code (IaC) tools.
• Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
• Monitor production AI systems and proactively resolve performance issues.
• Evaluate emerging AI technologies and recommend improvements to existing platforms.
• Mentor junior engineers and contribute to technical design reviews and architecture discussions.

Skills

Cloud architecture

MLOps

Python

TensorFlow

PyTorch

LangChain

Docker

Kubernetes

CI/CD

Terraform

CloudFormation

LLM apps

RAG

Education

Bachelor's or Master's in CS/AI/DS

Tools

SageMaker

Azure OpenAI

Vertex AI

Docker

Kubernetes

Job description

We are seeking an experienced Senior AI Cloud Engineer to design, build, deploy, and optimize AI/ML solutions on cloud platforms. The ideal candidate will have strong expertise in cloud architecture, machine learning operations (MLOps), generative AI technologies, and s

We are seeking an experienced Senior AI Cloud Engineer to design, build, deploy, and optimize AI/ML solutions on cloud platforms. The ideal candidate will have strong expertise in cloud architecture, machine learning operations (MLOps), generative AI technologies, and scalable application development. This role involves working closely with data scientists, software engineers, DevOps teams, and business stakeholders to deliver secure, reliable, and production-ready AI solutions.

Key Responsibilities

• Design and implement scalable AI/ML architectures on cloud platforms.
• Build and maintain MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
• Develop and deploy Generative AI and Large Language Model (LLM) applications.
• Integrate AI services into enterprise applications and business workflows.
• Optimize AI workloads for performance, scalability, reliability, and cost efficiency.
• Implement security, governance, and compliance best practices for AI solutions.
• Automate infrastructure provisioning using Infrastructure as Code (IaC) tools.
• Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
• Monitor production AI systems and proactively resolve performance issues.
• Evaluate emerging AI technologies and recommend improvements to existing platforms.
• Mentor junior engineers and contribute to technical design reviews and architecture discussions.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or related field.
• 6+ years of software engineering or cloud engineering experience.
• 3+ years of hands-on experience with AI/ML and cloud-based AI services.
• Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, LangChain, or similar.
• Expertise in cloud platforms:
  • AWS (SageMaker, Bedrock, Lambda, ECS/EKS, S3, RDS)
  • Azure (Azure AI Services, Azure OpenAI, AKS, Data Factory)
  • Google Cloud (Vertex AI, GKE, BigQuery)
• Experience building and deploying LLM-powered applications and Retrieval-Augmented Generation (RAG) solutions.
• Strong knowledge of containerization and orchestration using Docker and Kubernetes.
• Experience with CI/CD pipelines and DevOps practices.
• Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation.
• Experience with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or similar.
• Strong understanding of API development and microservices architecture.
• Excellent troubleshooting, analytical, and problem-solving skills.

Preferred Qualifications

• Experience with AI agents and multi-agent frameworks.
• Knowledge of model fine-tuning, prompt engineering, and evaluation frameworks.
• Experience with data engineering and big data technologies.
• Cloud certifications (AWS, Azure, GCP).
• Experience implementing enterprise AI governance and responsible AI practices.
• Exposure to real-time AI inference and event-driven architectures.

Key Technologies

• TensorFlow, PyTorch, Scikit-learn
• Terraform, CloudFormation

Key Skills

Competitive compensation and growth opportunities.