Hybrid Lead Associate, Product Engineering

at BetaNXT

• Job title: Lead Associate, Product Engineering
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Angular, AWS, Java, Node.js, Python, PyTorch, React, Spring, Spring Boot, SpringBoot, Tensorflow
• Location requirements: Hybrid, Bengaluru, India

About the role

• AI Engineer developing AI-driven solutions for operational challenges and enhancing product capabilities at BetaNXT. Collaborating with teams to leverage AI technologies for business improvements.

Responsibilities

• Develop and implement AI-driven solutions that address internal operational challenges and also enhance product capabilities that BetaNXT Offers to our clients.
• Collaborate with the team(s) to apply AI technology standards, patterns, and best practices across projects.
• Contribute to the development and improvement of our AI portfolio of products.
• Work with internal stakeholders to understand AI use cases, assist in prototyping solutions, and gather requirements & subsequently design, build and deploy applications.
• Support model lifecycle management, including training, validation, deployment, and monitoring of AI solutions.
• Apply responsible AI practices around data privacy, transparency, and model interpretability.
• Participate in the planning and execution of AI initiatives aligned with enterprise technology objectives.

Requirements

• Bachelor's degree in Computer Science, Machine Learning, Engineering, or related field.
• 3+ years of hands-on experience building and deploying AI/ML solutions in production environments.
• 4+ years of experience with software development and system architecture concepts.
• Strong working knowledge of ML frameworks (e.g., TensorFlow, PyTorch) and model operations fundamentals.
• Proficiency with Python and software development best practices.
• Solid understanding of NLP techniques and their applications.
• Strong problem-solving skills and ability to communicate technical concepts clearly.
• Experience with or exposure to GenAI technologies (e.g., LLMs, embeddings, vector search).
• Experience of working on technologies such as AWS Bedrock, Canvas, Claude agents, Sagemaker etc.
• Know-hows in data related supervised machine Learning.
• Good understanding of Model Training & deployment.
• Prior Development experience in applications in any one or two of the following language Angular , NodeJS, Java, Python, Java Spring Boot, ReactJS etc.

Benefits

• N/A