AI Developer

Job Description

We are looking for a talented AI Developer with 5-7 years of experience to help design and implement AI-driven solutions that optimize business processes across the Quote to Cash cycle, manufacturing, and retail sales. As an AI Developer, you will play a key role in developing and deploying machine learning models and AI applications that address business challenges, enhance efficiency, and deliver actionable insights. Key Responsibilities: Develop, implement, and maintain AI models and solutions tailored to the Quote to Cash cycle, manufacturing processes, and retail sales operations. Work closely with cross-functional teams to understand business requirements and translate them into scalable AI solutions. Design and optimize machine learning algorithms to automate tasks, improve forecasting, and drive business intelligence in various business domains. Integrate AI solutions with existing enterprise systems and databases, ensuring seamless functionality across platforms. Conduct data analysis and feature engineering to improve model accuracy and predictive capabilities. Collaborate with senior architects and data scientists to improve model performance and implement best practices. Support the deployment of AI models into production environments, ensuring they meet performance, scalability, and reliability standards. Continuously evaluate and improve existing AI models to keep up with emerging trends in machine learning and data science. Required Qualifications: 5-7 years of hands-on experience as an AI Developer, with a strong understanding of machine learning, data analysis, and algorithm development. Practical experience working within the Quote to Cash cycle, manufacturing, and retail sales environments. Proficiency in programming languages such as Python, R, Java, or similar, with experience in AI and machine learning libraries (e.g., TensorFlow, Scikit-learn, PyTorch). Solid understanding of data structures, algorithms, and statistical modeling techniques. Strong background in data preprocessing, feature engineering, and data wrangling. Familiarity with cloud platforms (AWS, Azure, GCP) and tools used for AI/ML deployment. Strong problem-solving skills and a proactive approach to identifying and addressing business challenges. Excellent communication skills to collaborate with cross-functional teams and present technical findings to non-technical stakeholders. Ability to work in a matrix team environment with both internal and 3rd party development teams (onshore / offshore). Hybrid Work Model Working Time: India 2nd Shift till 11:30 PM IST / 2:00 AM EST or 12:30 AM IST / 3:00 AM EST Preferred Qualifications: Experience working with ERP systems, CRM platforms, or business intelligence tools in an AI/ML context. Knowledge of data visualization tools (e.g., Tableau, Power BI) and how to present AI results to business users. Understanding of best practices for model versioning, deployment, and monitoring. Bachelor s degree in computer science, Information Technology, or related field.