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AI/ML Engineer

TASC OutsourcingAbu Dhabi, UAE1 months agoMid-Senior
Mid-Senior

Skills

engineeringdesignproject management

About This Role

About the Role

We are seeking an AI/ML Engineer to join our team in Bengaluru.

In this role, you will design, build, and deploy large language model–based solutions using OpenAI APIs, embeddings, and retrieval-augmented generation (RAG) techniques to power cutting-edge AI applications.

Responsibilities

Design and implement LLM-based solutions leveraging OpenAI APIs

Develop and integrate embedding pipelines for semantic search and similarity tasks

Build, optimize, and maintain retrieval-augmented generation (RAG) systems

Collaborate with data scientists, product managers, and cross-functional teams to define requirements

Fine-tune and optimize models for performance, scalability, and cost efficiency

Deploy, monitor, and maintain ML models and services in production environments

Ensure code quality through best practices, testing, and documentation

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, or a related field

Minimum 2 years of professional experience in AI/ML engineering

Strong expertise with large language models (LLMs) and natural language processing

Hands-on experience with OpenAI APIs and associated tooling

Proficiency in creating and utilizing embeddings for NLP applications

Practical experience implementing retrieval-augmented generation (RAG) frameworks

Advanced programming skills in Python and familiarity with ML libraries (TensorFlow, PyTorch, or similar)

Solid understanding of data structures, algorithms, and software engineering principles

Excellent problem-solving skills and attention to detail

Preferred Qualifications

Master’s degree or higher in AI, Machine Learning, or related discipline

Experience

with vector databases (e.g., Pinecone, Milvus) and similarity search

Familiarity with MLOps practices and CI/CD pipelines for ML

Background in prompt engineering and custom model fine-tuning

Experience

with cloud platforms (AWS, GCP, or Azure) for ML deployment

Strong communication skills and ability to thrive in agile, collaborative teams

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