AI/ML Architect

The Role

We are hiring an AI/ML Architect 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.

What You Will Be Doing

• 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-learn.
• 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 validation.
• Utilize SQL, MySQL, PostgreSQL, and MongoDB for database management and query optimization.
• Create interactive data visualizations using Tableau and Power BI to drive business insights.
• 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.

May perform additional duties as assigned.

What You Bring Along

• 7+ years of experience applying AI to practical uses.
• Strong coding expertise in Python & SQL, with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Deep knowledge of algorithms, OOP, and functional design principles.
• Proficiency with Pandas, NumPy, Matplotlib, and Seaborn.
• Hands-on experience with cloud platforms such as AWS, Azure, and Google Cloud.
• Experience with big data processing using Apache Spark and Snowflake.
• NLP expertise with Hugging Face and cloud AI services
• Strong understanding of database management, query optimization, and data warehousing.
• Experience with data visualization tools such as Tableau and Power BI.
• Ability to work in a collaborative environment and adapt to new AI technologies.
• Strong analytical and problem solving skills.

Education:

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