Artificial Intelligence Specialist

Job Title

Location

About Us:

Newage Software

Our end-to-end SaaS-based ERP solutions and digital back-office services enhance operational efficiency, reduce cost leakages, and provide actionable insights for our global customers. Built on advanced technologies and automation, our solutions cater to businesses of all sizes : small, medium, and large supporting functions across sales, finance, accounting, documentation, and customer operations.

Newage Software

Role Overview:

We are seeking a passionate and experienced AI Engineer with deep proficiency in Java and hands-on experience in developing, deploying, and maintaining machine learning solutions using the AWS tech stack. You will join our growing AI team to build, scale, and optimize high-impact AI-driven products.

Key Responsibilities:

• Design, develop, and deploy robust AI & machine learning models using Java and AWS services (SageMaker, Lambda, EC2, S3, etc.).
• Integrate AI algorithms and data pipelines into scalable production systems.
• Collaborate with cross-functional teams to define AI use cases, data requirements, and deployment strategies.
• Optimize model performance and ensure reliability, security, and scalability of solutions in production.
• Maintain end-to-end responsibility for AI projects from prototyping to monitoring.
• Continuously research and apply the latest AI/ML technologies and best practices.

Required Skills & Experience:

• Minimum 5 years of hands-on experience in Java programming, with strong software engineering fundamentals.
• Proven experience implementing AI/ML models, algorithms, and data processing with Java.
• Deep expertise in AWS cloud services, especially those relevant to AI/ML (SageMaker, Lambda, EC2, S3, Step Functions, etc.).
• Familiarity with ML frameworks (TensorFlow, PyTorch, DL4J, Weka, etc.) and ability to integrate them with Java applications.
• Strong understanding of data structures, algorithms, and software design principles.
• Experience deploying AI solutions at scale, including CI/CD pipelines, testing, and cloud monitoring.
• Effective communication, problem-solving skills, and the ability to thrive in an agile team environment.

Preferred Qualifications:

• Masters/Bachelors degree in Computer Science, Engineering, Mathematics, or a related field.
• AWS Certification (Machine Learning, Solutions Architect, or equivalent).
• Experience with RESTful APIs, microservices, and DevOps.
• Exposure to data engineering and ETL workflows.