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Java Developer (AI Experience) - (Full-time)

Remote · USA Full-time New today

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing. Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success. We are seeking an experienced AI Java Developer with strong expertise in Java and foundational knowledge of AI/ML concepts. The ideal candidate will design, develop, and integrate AI/ML components into enterprise-grade applications, leveraging Java EE frameworks and modern development practices. Information Security Responsibilities

  • Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
  • Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
  • Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
  • Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

Key Responsibilities:

  • Design and implement robust Java applications with integrated AI/ML capabilities.
  • Develop and maintain scalable solutions using Java EE frameworks such as Spring and Hibernate.
  • Collaborate with data scientists and engineers to integrate machine learning models into production systems.
  • Write clean, efficient, and well-documented code following best practices.
  • Utilize scripting languages (e.g., Python, JavaScript) for automation and data preprocessing tasks.
  • Conduct performance tuning and optimization for AI-driven components.
  • Stay updated on emerging AI/ML technologies and recommend innovative solutions.

Required Qualifications:

  • 4–5 years of professional experience in Java development.
  • Strong understanding of core Java concepts and object-oriented programming principles.
  • Hands-on experience with Java EE frameworks (Spring, Hibernate).
  • Moderate proficiency in scripting languages such as Python or JavaScript.
  • Basic understanding of machine learning concepts and experience with relevant libraries (e.g., TensorFlow, Scikit-learn).
  • Strong analytical and problem-solving skills.

Preferred Skills:

  • Experience deploying AI/ML models in production environments.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
  • Knowledge of RESTful APIs and microservices architecture.
  • Exposure to big data technologies (Hadoop, Spark) is a plus.

Performance Metrics:

  • Timely delivery of AI-integrated Java applications.
  • Code quality and adherence to best practices.
  • Successful integration and optimization of ML models.
  • Collaboration and contribution to AI/ML innovation within the team.

We invite you to stay connected with us by subscribing to our monthly job openings alert here. Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas. #BI-Remote #LI-Remote Apply tot his job Apply To this Job

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