AI/ML Engineer

Awign; Mumbai Suburban; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A leading technology services provider in Mumbai is seeking a skilled AI/ML Engineer to design and optimize AI models using AWS services. The ideal candidate will have strong expertise in Generative AI technologies and experience in developing production-ready ML pipelines. This full-time role offers the opportunity to work on innovative AI solutions in a collaborative environment.

Qualifications

• Experience with Generative AI models such as GPT and Claude.
• Familiarity with CI/CD processes for ML models.
• Certification in AWS Machine Learning Specialty or relevant AI certifications is a plus.

Responsibilities

• Design, develop, and deploy AI/ML models on AWS.
• Build LLM-based applications using Amazon Bedrock.
• Develop scalable ML pipelines using AWS services.

Skills

AWS AI/ML stack expertise

Generative AI models knowledge

Hands-on experience in Python

Experience with TensorFlow

Experience with PyTorch

Knowledge of vector databases

Understanding of MLOps practices

Tools

Amazon Bedrock

SageMaker

Lambda

Step Functions

DynamoDB

OpenSearch

Pinecone

FAISS

Job description

Join to apply for the AI/ML Engineer role at Awign

We are seeking a highly skilled AI/ML Engineer with expertise in AWS AI/ML services and a strong understanding of Generative AI using Amazon Bedrock. The ideal candidate will have experience in building, deploying, and optimizing AI/ML models on AWS, integrating LLMs into applications, and leveraging AWS services for scalable AI solutions.

Key Responsibilities

• Design, develop, and deploy AI/ML models on AWS, leveraging SageMaker, Bedrock, and related services.
• Build LLM-based applications using Amazon Bedrock and fine-tune models for specific use cases.
• Implement RAG (Retrieval-Augmented Generation) and integrate vector databases like OpenSearch, Pinecone, or FAISS.
• Develop scalable, production-ready ML pipelines using AWS services (Lambda, Step Functions, S3, DynamoDB, etc.).
• Utilize Bedrock, SageMaker, and custom fine-tuned models to deliver business-driven AI solutions.
• Work with cross-functional teams to integrate ML models into real-world applications.
• Ensure AI solutions adhere to best practices for security, compliance, and cost optimization.
• Stay updated with the latest trends in GenAI, prompt engineering, and AI model optimization.

Required Skills

• Strong expertise in AWS AI/ML stack – Amazon Bedrock, SageMaker, Lambda, Step Functions, S3, DynamoDB, etc.
• Experience with Generative AI models (GPT, Claude, Mistral, LLaMA, etc.) and fine-tuning techniques.
• Hands-on experience in Python, TensorFlow, PyTorch, or Hugging Face.
• Knowledge of vector databases and embedding models.
• Experience in building secure and scalable AI applications using AWS.
• Familiarity with MLOps practices, CI/CD for ML models, and cloud automation.
• Strong problem-solving skills and ability to work in a fast-paced environment.

Good to Have

• Experience with LangChain, Prompt Engineering, and RAG techniques.
• Understanding of data governance, AI ethics, and responsible AI practices.
• Certification in AWS Machine Learning Specialty/Associate or relevant AI certifications.

Relevant Skills

• vector databases, models, mlops, ml, pytorch, s3, lambda, tensorflow, ci/cd, amazon

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting

This job is active and accepting applications.