AIML Developer

Orcapod Consulting Services; Mumbai, Bengaluru; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Orcapod Consulting Services is seeking an AI/ML Developer in Mumbai, India to design, develop, and deploy AI and ML solutions. You will build AI-powered applications with LLMs, create RAG pipelines, and work with data preprocessing and model evaluation.

Collaboration with engineers and product teams is essential. The role requires strong Python programming, ML knowledge, and experience with PyTorch or TensorFlow, plus familiarity with REST APIs, vector databases, and containerization.

Qualifications

• Proficient in Python and modern ML algorithms.

Responsibilities

• Design, develop, and deploy AI and machine learning models.
• Build AI-powered applications using Large Language Models (LLMs).
• Develop Retrieval-Augmented Generation (RAG) pipelines and AI agents.
• Collect, preprocess, and analyze structured and unstructured data.
• Train, fine-tune, and evaluate machine learning models.
• Integrate AI models into web and mobile applications through APIs.
• Optimize model performance, latency, and inference costs.
• Deploy AI applications using cloud platforms and containerization tools.
• Monitor production AI systems and improve model performance.
• Collaborate with software engineers, data scientists, and product teams.

Skills

Python

ML fundamentals

LLMs experience

Prompt engineering

RAG architectures

REST APIs

Tools

NumPy

Pandas

Scikit-learn

PyTorch

TensorFlow

OpenAI

Pinecone

Chroma

FAISS

Milvus

FastAPI

Flask

SQL

NoSQL

Git

Docker

Linux

Job description

AI/ML Developer

Job Summary

We are seeking a talented AI/ML Developer to design, develop, and deploy machine learning and generative AI solutions. The ideal candidate will have strong programming skills, experience with machine learning frameworks, and the ability to build scalable AI applications that solve real-world business problems.

Key Responsibilities

• Design, develop, and deploy AI and machine learning models.
• Build AI-powered applications using Large Language Models (LLMs).
• Develop Retrieval-Augmented Generation (RAG) pipelines and AI agents.
• Collect, preprocess, and analyze structured and unstructured data.
• Train, fine-tune, and evaluate machine learning models.
• Integrate AI models into web and mobile applications through APIs.
• Optimize model performance, latency, and inference costs.
• Deploy AI applications using cloud platforms and containerization tools.
• Monitor production AI systems and improve model performance.
• Collaborate with software engineers, data scientists, and product teams.

Required Skills

• Strong proficiency in Python.
• Good understanding of machine learning algorithms.
• Experience with NumPy, Pandas, and Scikit-learn.
• Knowledge of deep learning frameworks such as PyTorch or TensorFlow.
• Experience working with LLMs (OpenAI, Llama, Gemini, Claude, etc.).
• Familiarity with prompt engineering and RAG architectures.
• Experience with vector databases (e.g., Pinecone, Chroma, FAISS, Milvus).
• Knowledge of REST APIs and FastAPI or Flask.
• Familiarity with SQL and NoSQL databases.
• Understanding of Git, Docker, and Linux.