Gen AI/ML Engineer

Indexnine; Bengaluru; Hybrid; INR 1,400,000 - 2,400,000; Full time

Job summary

Indexnine is seeking a Gen AI/ML Engineer in Bangalore to join a dynamic team. You will design, implement, and optimize machine learning models, AI applications, and algorithms for solving complex business problems.

Collaborate across data science, software, product, and business units to deliver scalable AI solutions. The ideal candidate has 3–5 years of ML/AI development experience, strong Python API skills (FastAPI/Flask), and hands-on AWS Bedrock/SageMaker expertise, plus experience with

Qualifications

• Bachelor’s or Master’s degree in CS, Data Science, or related technical discipline.
• 3–5 years of software development experience with 3+ years in ML/AI application development and production-grade solutions.
• Strong Python programming with API development using FastAPI or Flask.
• Backend experience in Java or C# is a plus.
• Hands-on with AWS AI services (Bedrock, SageMaker, Lambda, API Gateway, S3).
• Experience with LLMs, LangChain, LlamaIndex, or custom RAG architectures.
• Knowledge of vector DBs (Pinecone, FAISS, OpenSearch) and embeddings.
• Security, OAuth 2.0-based auth, IAM policies, secure API design, data protection.
• DevOps practices: CI/CD, Docker, IaC (CloudFormation, AWS CDK, Terraform).
• Relational databases and data modeling; ML algorithms and deep learning basics.
• Experience across AI/ML project lifecycle and productivity tools (GitHub Copilot).
• Awareness of responsible AI practices, explainability, and enterprise standards.
• Strong analytical, debugging, and performance optimization skills.
• Excellent communication and cross-functional collaboration in Agile teams.

Responsibilities

• Design, implement, and optimize ML models, AI applications, and algorithms for business problems.
• Develop APIs and AI solutions collaborating with data scientists and engineers.
• Contribute to end-to-end AI lifecycle from requirements to deployment and productization.
• Ensure secure, scalable, and compliant AI systems within enterprise standards.

Skills

Python

Machine Learning

Data Science

APIs

Collaboration

Agile teamwork

Communication

Education

Bachelor’s or Master’s in CS / Data Science

Tools

FastAPI

Flask

AWS

Bedrock

SageMaker

Lambda

API Gateway

S3

LangChain

LlamaIndex

RAG architectures

Pinecone

FAISS

OpenSearch

OAuth 2.0

IAM

Terraform

Docker

Job description

• Title Gen AI/ML Engineer
• Location Bangalore
• Experience 3-5 Years
• Role summary -We are seeking a highly skilled and motivated AI/ML Engineer to join our team. The ideal candidate will have a strong background in machine learning and data science, with experience working on large-scale machine learning projects.As an AI/ML Engineer, you will be responsible for designing, implementing, and optimizing machine learning models, AI applications, and algorithms to solve complex business problems. You will work closely with cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to develop innovative solutions that drive business growth.

Requirements:

• Bachelor’s or master’s degree in computer science, Data Science, or a related technical discipline.
• 3 to 5 years of overall software development experience, including 3+ years of hands-on experience in machine learning or AI application development, with a proven track record of delivering production-grade solutions.
• Strong programming proficiency in Python, with demonstrated experience in API development using FastAPI or Flask.
• Backend development experience in C# or Java is considered an added advantage.
• Solid experience developing AI solutions within the AWS ecosystem, including hands-on use of services such as Amazon Bedrock, SageMaker, Lambda, API Gateway, and S3.
• Practical knowledge and implementation experience with Large Language Models and Generative AI frameworks such as LangChain, LlamaIndex, or custom RAG architectures.
• In-depth understanding of RAG systems, including embedding generation, document chunking, retrieval, ranking, and response synthesis.
• Experience with vector databases such as Pinecone, FAISS, or OpenSearch, as well as text embeddings and prompt engineering, is an added advantage.
• Strong understanding of cloud security, including OAuth 2.0-based authentication, IAM policies, secure API design, and data protection practices.
• Familiarity with DevOps practices and tools, including CI/CD pipelines, Docker, and Infrastructure as Code tools such as CloudFormation, AWS CDK, or Terraform.
• Proficiency in relational databases such as SQL and strong understanding of data modelling.
• Solid grasp of machine learning algorithms and techniques, including deep learning architectures.
• Skilled in data preprocessing, feature engineering, and data manipulation using modern data science tools and libraries.
• Demonstrated experience working across the full AI/ML project lifecycle, from business requirements analysis to model deployment and productization.
• Practical experience using AI-assisted engineering tools such as GitHub Copilot or similar capabilities to improve productivity, code quality, documentation, testing, and development efficiency.
• Strong understanding of responsible AI usage in software and AI/ML engineering, including validation of AI-generated outputs, secure coding practices, data privacy, explainability, and adherence to enterprise standards.
• Strong analytical and problem-solving skills, with a structured approach to debugging, model evaluation, performance tuning, and optimization.
• Excellent communication and collaboration abilities, with experience working in cross-functional and agile teams.

People Skills:

Ability to translate complex business problems into technical challenges that can be solved using data science, machine learning, and AI techniques.

Ability to communicate technical ideas, model outcomes, and AI/ML solution approaches effectively to non-technical audiences.

Ability to work effectively in a team-oriented environment.

Curious and open-minded attitude toward new approaches, technologies, and methodologies.

Strong ownership mindset with the ability to drive initiatives from concept through delivery.