AI/ML Developer

Job highlights

• Bachelor s degree in Computer Science,Data Science,AI / ML,or a related

Job Summary

We are hiring an AI/ML Developer to join our India team, in support of a large global client! You will be responsible for developing, deploying, and maintaining AI and machine learning models. Your expertise in Python, cloud services, databases, and big data technologies will be instrumental in creating scalable and efficient AI applications.

Responsibilities

• Develop, train, and deploy machine learning models for predictive analytics, classification, and clustering.
• Implement AI-based solutions using frameworks such as TensorFlow, PyTorch, and Scikit-
• Work with cloud platforms including AWS (SageMaker, Lambda, S3), Azure, and Google Cloud (Vertex AI).
• Integrate and fine-tune Hugging Face transformer models (e.g., BERT, GPT) for NLP tasks such as text classification, summarization, and sentiment analysis.
• Develop AI automation solutions, including chatbot implementations using Microsoft Teams and Azure AI.
• Work with big data technologies such as Apache Spark and Snowflake for large-scale data processing and analytics.
• Design and optimize ETL pipelines for data quality management, transformation, and
• Utilize SQL, MySQL, PostgreSQL, and MongoDB for database management and query
• Create interactive data visualizations using Tableau and Power BI to drive business
• Work with Large Language Models (LLMs) for AI-driven applications, including fine-tuning, training, and deploying model for conversational AI, text generation, and summarization.
• Develop and implement Agentic AI systems, enabling autonomous decision-making AI agents that can adapt, learn, and optimize tasks in real-time.

Education

• Bachelor s degree in Computer Science, Data Science, AI/ML, or a related

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.