Senior AI/ML Developer

Summary

Join NewRocket, a global ServiceNow partner, as an AI/ML Developer in our India team supporting a large global client. You will develop, deploy, and maintain AI and machine learning models, leveraging your expertise in Python, cloud services, databases, and big data technologies. This role involves creating scalable and efficient AI applications using various frameworks and platforms. You will be responsible for implementing AI-based solutions, integrating Hugging Face transformer models, and developing AI automation solutions. The position requires strong analytical and problem-solving skills and collaboration within a team environment. You will work with large language models and design and optimize ETL pipelines.

Requirements

• 7-10 years of experience applying AI to practical uses
• Proven experience in a senior or lead role, handling projects or mentoring junior developers
• Strong programming skills in Python, SQL, and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Knowledge of basic algorithms and object-oriented and functional design principles
• Proficiency in using data analytics libraries like 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
• Knowledge of NLP and AI model implementations using Hugging Face and cloud-based 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
• Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related field

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-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