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AI / Machine Learning Engineer

Zorba AI
Be an Early ApplicantFull TimemidHybrid
Gurugram, Haryana, INPosted March 19, 2026

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PythonJavaScriptFastAPIAWSGCPAzureDockerKubernetesTensorFlowPyTorch

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Job Description

Role Overview

DS and LLM, ML,5 + years

We are looking for a highly skilled AI / Machine Learning Engineer with strong expertise in data science, deep learning, and Generative AI technologies. The ideal candidate will have hands-on experience in building and deploying LLM-based solutions, developing scalable ML pipelines, and working with modern AI frameworks and cloud-based deployment tools.

Key Responsibilities

AI / Data Science Development

Apply advanced statistics, signal processing, and simulation techniques to solve complex business problems.

Design, develop, and optimize machine learning and deep learning models.

Work with large datasets to build data-driven AI solutions.

LLM & Generative AI Development

Develop and deploy Large Language Models (LLMs) and deep learning models for NLP applications.

Implement Generative AI solutions, including prompt engineering and model optimization.

Build solutions using RAG (Retrieval Augmented Generation) and hybrid AI architectures.

Work with frameworks such as PyTorch, TensorFlow, and other modern AI libraries.

AI System & Pipeline Deployment

Design and implement scalable ML pipelines and AI services.

Deploy AI applications using FastAPI or similar frameworks.

Manage containerized applications using Docker and Kubernetes.

Integrate models with cloud platforms and modern AI infrastructure.

Implement MLOps practices for model deployment, monitoring, and lifecycle management.

Required Skills

Technical Skills

Strong understanding of Data Science, Advanced Statistics, Signal Processing, and Simulation frameworks.

Proficiency in programming languages such as Python, JavaScript, C/C++.

Experience With AI/ML Frameworks Including

PyTorch

TensorFlow

NLP and deep learning libraries

Experience developing LLM-based applications.

Knowledge Of

RAG architectures

Generative AI techniques

Hybrid AI models

Experience building ML pipelines using MLOps tools.

Hands-on Experience With

Docker

Kubernetes

FastAPI

Cloud platforms (AWS, Azure, or GCP)

Skills: llm,ml,data science,machine learning

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