AI/ML Developer

Itcube Solutions; Pune District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Itcube Solutions in Pune is seeking an experienced AI/ML Engineer to design, build, and deploy machine learning models for real-world business use cases. You will develop AI-powered applications using Python and ML frameworks, perform data preprocessing and feature engineering, and evaluate models.

You will work on NLP, CV, and recommender systems, develop Generative AI apps, and leverage vector databases and RAG pipelines. Collaboration with cross-functional teams is essential.

Qualifications

• Proficient in Python and software development practices.
• Hands-on experience with ML and DL techniques and frameworks.
• Experience with Scikit-learn, TensorFlow, PyTorch, or Keras.
• Strong knowledge of NLP concepts and applications.
• Experience with Large Language Models (LLMs) and Generative AI.
• Hands-on with LangChain, LlamaIndex, OpenAI APIs, or equivalent.
• Familiar with Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate).
• Experience with SQL and data processing using Pandas and NumPy.
• Familiarity with Git and REST APIs.
• Understanding of cloud platforms such as Azure, AWS, or GCP.

Responsibilities

• Design, build, and deploy ML models for business use cases.
• Develop AI-powered applications using Python and ML frameworks.
• Preprocess data, perform feature engineering, and evaluate models.
• Build NLP, Computer Vision, or Recommender systems.
• Develop Generative AI/LLM apps using OpenAI, LangChain, or similar.
• Work with vector databases and Retrieval-Augmented Generation pipelines.
• Fine-tune and optimize ML models.
• Collaborate with cross-functional teams to deliver AI solutions.
• Monitor, maintain, and improve deployed models; prepare docs and participate in code reviews.

Skills

Python

Machine Learning

Deep Learning

Scikit-learn/TensorFlow/PyTorch/Keras

NLP

LLMs & Generative AI

LangChain/LlamaIndex/OpenAI APIs

Vector Databases (Pinecone, ChromaDB,)

SQL

Pandas

NumPy

Git & REST APIs

Cloud Platforms (Azure/AWS/GCP)

Tools

LangChain/OpenAI APIs

Docker

Kubernetes

MLflow/Kubeflow

Azure AI Services / SageMaker

Job description

Key Responsibilities

• Design, build, and deploy Machine Learning models for business use cases.
• Develop AI-powered applications using Python and ML frameworks.
• Perform data preprocessing, feature engineering, and model evaluation.
• Build and optimize NLP, Computer Vision, or Recommendation System solutions.
• Develop and integrate Generative AI/LLM applications using OpenAI, LangChain, or similar frameworks.
• Work with vector databases and Retrieval-Augmented Generation (RAG) pipelines.
• Fine-tune and optimize machine learning models.
• Collaborate with cross-functional teams to understand business requirements and deliver AI solutions.
• Monitor, maintain, and improve deployed models.Prepare technical documentation and participate in code reviews.

Required Skills

• Strong programming skills in Python.
• Hands-on experience with Machine Learning and Deep Learning.
• Experience with Scikit-learn, TensorFlow, PyTorch, or Keras.
• Knowledge of Natural Language Processing (NLP).
• Experience with Large Language Models (LLMs) and Generative AI.
• Hands-on experience with LangChain, LlamaIndex, OpenAI APIs, or similar frameworks.
• Knowledge of Vector Databases such as Pinecone, ChromaDB, FAISS, or Weaviate.
• Experience with SQL and data processing libraries like Pandas and NumPy.
• Familiarity with Git and REST APIs.
• Good understanding of cloud platforms such as Azure, AWS, or GCP.

Preferred Skills

• Experience with RAG (Retrieval-Augmented Generation) architecture.
• Knowledge of Docker and Kubernetes.
• Experience with MLOps tools such as MLflow or Kubeflow.
• Exposure to Azure AI Services, Azure OpenAI, or AWS SageMaker.
• Experience with CI/CD pipelines.