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GenAI/ML Engineers
NTT Ltd
Gurugram
10+ years
Today
$71.1K–81.9K/yr
Full-time
Onsite
Skills Required
LLM
Gen AI
LangChain
LlamaIndex
RAG
Prompt Engineering
Embeddings
embedding generation
document chunking
ranking
response synthesis
Pinecone
FAISS
OpenSearch
Description
This position offers an experienced AI/ML engineer the opportunity to transform enterprise data and legacy systems into AI-enabled capabilities at SP Global. The role involves collaboration with business partners and product teams to deliver measurable business outcomes using modern cloud-native AI/ML solutions on AWS.
Company: SP Global
Role: Software Development Engineer AI/ML
Experience
- 10+ years of overall software development experience
- 3+ years of hands-on experience in machine learning or AI application development
- Proven track record of delivering production-grade AI/ML solutions
Qualification
- Bachelor’s or master’s degree in Computer Science, Data Science, or related technical discipline
Responsibilities
- Design, develop, deploy, and maintain AI/ML solutions leveraging cloud-native architectures on AWS
- Apply techniques across the AI/ML lifecycle including data engineering, model development, evaluation, deployment, monitoring, and production support
- Collaborate closely with internal business partners, data stakeholders, software engineers, and product teams
- Design, implement, and optimize machine learning models, AI applications, and algorithms to solve complex business problems
- Work with cross-functional teams including data scientists, software engineers, product managers, and business stakeholders
- Use AI-assisted engineering tools to improve developer productivity, code quality, documentation, and automated testing
- Ensure alignment with responsible AI practices and enterprise standards
- Improve code quality, model governance, operational readiness, scalability, and delivery efficiency
Additional Responsibilities
- Translate complex business problems into technical challenges solvable by AI/ML techniques
- Communicate technical ideas, model outcomes, and AI/ML approaches effectively to non-technical audiences
- Work effectively in team-oriented and agile environments
- Maintain a curious and open-minded attitude toward new technologies and methodologies
- Demonstrate strong ownership mindset driving initiatives from concept through delivery
- Apply strong analytical and problem-solving skills for debugging, model evaluation, performance tuning, and optimization
Nice To Have
- Backend development experience in C# or Java
- Experience with vector databases such as Pinecone, FAISS, or OpenSearch
More Skills
Python, API development using FastAPI or Flask, C# or Java backend development, AWS services: Amazon Bedrock, SageMaker, Lambda, API Gateway, S3, Generative AI frameworks: LangChain, LlamaIndex, custom RAG architectures, RAG systems: embedding generation, document chunking, retrieval, ranking, response synthesis, Vector databases: Pinecone, FAISS, OpenSearch, Cloud security: OAuth 2.0 authentication, IAM policies, secure API design, data protection, DevOps tools: CI/CD pipelines, Docker, CloudFormation, AWS CDK, Terraform, Relational databases and data modelling, Machine learning algorithms and deep learning architectures, Data preprocessing, feature engineering, data manipulation, AI-assisted engineering tools such as GitHub Copilot, Responsible AI practices: validation, secure coding, data privacy, explainability
Prepare for this role
Recommended resources to build the skills for this position. Sponsored.
Top 50 LLM System Design Interview Questions
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Curated LLM system design questions from Zenaique.
Top 50 Embeddings Interview Questions
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Curated embeddings questions covering models, similarity, and retrieval.
Top 15 Embeddings Interview Questions (Quick)
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A shorter embeddings interview prep set for quick review.
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