We are seeking a highly skilled and versatile Machine Learning Engineer (with GenAI expertise) who combines strong software engineering fundamentals with deep experience in machine learning and modern Generative AI systems.

Company: Antino Labs Private Limited

Role: Senior AI/ML Engineer

Location: Gurgaon

Experience:

5 years of experience in AI/ML engineering
2-3 years in a lead role

Key Skills:

Python
Object-Oriented Programming
TensorFlow
PyTorch
Scikit-learn
Docker
Kubernetes
MLOps
CI/CD
Amazon Web Services
Google Cloud Platform
Microsoft Azure
NLP
Computer Vision
Generative AI
LLMs
deep learning models

Qualification:

Bachelor’s or Master’s degree in Computer Science, AI, ML, Data Science, or related field

Role Focus:

Design, develop, and maintain scalable AI-powered applications
Build end-to-end AI systems, including LLM-powered applications, Retrieval-Augmented Generation (RAG) pipelines, and agent-based workflows
Write clean, efficient, and well-documented Python code following OOP principles
Build and manage end-to-end ML pipelines: data ingestion, preprocessing, model training, evaluation, and deployment
Develop scalable ML systems using frameworks like PyTorch, TensorFlow, and Scikit learn
Design and implement LLM-based applications (chatbots, copilots, automation tools)
Build and optimize RAG pipelines using vector databases (e.g., FAISS, Pinecone, Weaviate)
Develop agentic workflows using frameworks like LangChain, LlamaIndex, or similar
Implement prompt engineering, structured output generation, and tool/function calling
Fine-tune or optimize LLMs using techniques like LoRA, QLoRA, or instruction tuning
Design modular, scalable, and maintainable ML and GenAI systems
Build APIs and microservices for model serving and GenAI applications
Build data pipelines for feature engineering, transformation, and dataset versioning
Manage structured and unstructured data (documents, embeddings, logs)
Implement CI/CD pipelines for ML and GenAI systems
Manage model and prompt versioning, experiment tracking, and reproducibility
Monitor systems for performance, drift, hallucinations, latency, and cost
Implement guardrails, evaluation frameworks, and feedback loops for LLMs
Optimize inference latency and cost for ML and LLM systems
Ensure scalability under production workloads (batch + real-time)
Create clear documentation for ML models, GenAI pipelines, APIs, and workflows

Other:

Strong leadership, stakeholder management, and team mentoring skills
Antino Labs Private Limited is a global IT Digital Transformation Services platform
The company has branch offices in Bangalore, UK, Dubai, Canada, and the US

Senior AI/ML Engineer

Skills Required

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