AI Developer with AWS - S

Tata Consultancy Services; Kolkata District, Chennai, Coimbatore District; In loco; INR 1.800.000 - 3.200.000; Tempo pieno

Descrizione del lavoro

Tata Consultancy Services is seeking an AI/ML Engineer to design, develop and deploy advanced AI/ML solutions on AWS. You will build ML models across NLP, CV, and generative AI, implement RAG architectures, and fine-tune foundation models on Bedrock and SageMaker.

Responsibilities include developing scalable APIs, managing MLOps pipelines, and ensuring security and governance. You will collaborate with cross-functional teams and stay updated with AI advances.

Competenze

• Strong proficiency in Python.
• Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers).
• Hands-on AWS AI/ML services (SageMaker, Bedrock, Comprehend, Rekognition, Textract, Lex, Kendra).
• Experience with Generative AI and LLM tech.
• Knowledge of Prompt Engineering, Fine-Tuning, RAG, Vector Databases, AI Agents.
• Experience with cloud-native architectures and serverless computing.
• Familiarity with AWS services (Lambda, API Gateway, ECS/EKS, EC2, S3, DynamoDB, RDS, CloudWatch, IAM).
• Knowledge of MLOps, CI/CD, Docker, Kubernetes, ETL pipelines.

Mansioni

• Design, develop, and deploy AI/ML solutions using AWS cloud services.
• Build and optimize ML models for predictive analytics, recommendations, NLP, CV, and generative AI use cases.
• Develop and integrate AI-powered applications using AWS services (SageMaker, Bedrock, Comprehend, Rekognition, Textract, Lex).
• Implement Retrieval-Augmented Generation (RAG) architectures using LLMs.
• Fine-tune and deploy foundation models on AWS Bedrock and SageMaker.
• Develop scalable APIs and microservices to expose AI functionalities.
• Implement MLOps pipelines for training, deployment, monitoring, and governance.
• Integrate AI solutions with enterprise apps, databases, and cloud services.
• Monitor model performance, drift, and production metrics.
• Ensure adherence to security, compliance, and responsible AI practices.
• Collaborate with cross-functional teams to translate business needs into AI solutions.
• Stay current with advancements in AI, Generative AI, AWS, and industry trends.

Conoscenze

Python

TensorFlow

PyTorch

Scikit-learn

Transformers

SageMaker

Bedrock

Comprehend

Rekognition

Textract

Lex

Kendra

LLMs

Prompt Engineering

Fine-Tuning

RAG

Vector Databases

AI Agents

Cloud-native

Serverless

Docker

Kubernetes

CI/CD

MLOps

ETL

APIs

Descrizione del lavoro

Key Responsibilities

• Design, develop, and deploy AI/ML solutions using AWS cloud services.
• Build and optimize machine learning models for predictive analytics, recommendation systems, NLP, computer vision, and generative AI use cases.
• Develop and integrate AI-powered applications using AWS services such as Amazon SageMaker, Bedrock, Comprehend, Rekognition, Textract, and Lex.
• Implement Retrieval-Augmented Generation (RAG) architectures using Large Language Models (LLMs).
• Fine-tune and deploy foundation models on AWS Bedrock and SageMaker.
• Develop scalable APIs and microservices to expose AI functionalities.
• Implement MLOps pipelines for model training, deployment, monitoring, and governance.
• Integrate AI solutions with enterprise applications, databases, and cloud services.
• Monitor model performance, drift, and operational metrics in production environments.
• Ensure adherence to security, compliance, and responsible AI best practices.
• Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions.
• Stay current with advancements in AI, Generative AI, AWS services, and industry trends.

Required Skills & Qualifications

Technical Skills

• Strong proficiency in Python programming.
• Experience with Machine Learning frameworks:
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Hugging Face Transformers
• Hands-on experience with AWS AI/ML services:
  • Amazon SageMaker
  • Amazon Bedrock
  • Amazon Comprehend
  • Amazon Rekognition
  • Amazon Textract
  • Amazon Lex
  • Amazon Kendra
• Experience with Generative AI and LLM technologies.
• Knowledge of Prompt Engineering, Fine-Tuning, RAG, Vector Databases, and AI Agents.
• Experience with cloud-native architectures and serverless computing.
• Familiarity with AWS services:
  • Lambda
  • API Gateway
  • ECS/EKS
  • EC2
  • S3
  • DynamoDB
  • RDS
  • CloudWatch
  • IAM
• Knowledge of MLOps tools and CI/CD pipelines.
• Experience with Docker and Kubernetes.
• Understanding of data engineering concepts and ETL pipelines.