AI Developer

Sutherland

  • Date Posted:

    5/24/2025

  • Remote Work Level:

    Hybrid Remote

  • Location:

    Hybrid Remote in Hyderabad, India india.png

  • Job Type:

    Employee

  • Job Schedule:

    Full-Time,Alternative Schedule

  • Career Level:

    Experienced

  • Travel Required:

    No specification

  • Education Level:

    Bachelor's/Undergraduate Degree

  • Salary:

    We're sorry, the employer did not include salary information for this job.

  • Categories:

    ITSoftware EngineerProgramming

  • Benefits:

    Career Development

About the Role

AI Developer

Hyderabad, India

Full-time

Hybrid

Company Description:

Sutherland is seeking a reliable and technical person to join us as AI Developer who will play a key role in driving our continued product growth and innovation. If you are looking to build a fulfilling career and are confident you have the skills and experience to help us succeed, we want to work with you!!

Qualifications:

Bachelor’s degree in computer science, Information Technology, or related field.

Category:

All your information will be kept confidential according to EEO guidelines.

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.
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