watsonx framework.
-Integrate AI models into applications, ensuring seamless functionality
and optimal performance.
-Customize pretrained models to meet specific project requirements,
enhancing their capabilities as needed.
-Write clean, efficient, and maintainable code for AI-driven
applications, APIs, and user interfaces using best practices.
-Participate in both front-end and back-end development tasks,
ensuring cohesive and functional software solutions.
-Design and implement RESTful APIs to facilitate communication
between different components of the AI solutions.
-Deploy AI solutions on IBM Cloud, leveraging cloud-native services for
compute, storage, networking, and AI-specific offerings.
-Utilize tools like Terraform or Ansible to manage and automate cloud
infrastructure deployments.
-Ensure applications are scalable and perform efficiently on IBM Cloud
infrastructure, optimizing resource usage and costs.
-Work closely with Solution Architects, Lead Developers, Data
Scientists, UX/UI Designers, and other team members to integrate AI
components seamlessly into the overall solution.
-Actively participate in Agile/Scrum ceremonies, including sprint
planning, daily stand-ups, and retrospectives to ensure project
alignment and continuous improvement.
-Share knowledge and expertise with team members, fostering a
collaborative and innovative development environment.
-Maintain high standards of code quality through regular code reviews,
adherence to coding standards, and implementation of best practices.
-Develop and execute unit, integration, and system tests to ensure the
reliability and robustness of AI solutions.
-Identify, diagnose, and resolve software defects and performance
issues in a timely manner.
-Implement security best practices in the development lifecycle,
ensuring that solutions comply with IBM's security policies and
industry standards.
-Ensure that data handling within AI solutions adheres to data privacy
regulations and best practices

Required Technical and Professional Expertise
Experience:
-Minimum 3+ years in software development, with significant
experience in developing and deploying AI/ML solutions.
-Hands-on experience with IBM's watsonx platform and IBM Cloud
infrastructure.
-Proven experience working with generative AI models and
integrating pretrained models into applications.

Technical Skills:
-Proficiency in languages such as Python, Java, or JavaScript relevant
to AI development.
-Strong experience with AI/ML frameworks like TensorFlow, PyTorch,
and their application in generative models.
-Experience in deploying and fine-tuning models like Granite, Mistral,
and Llama 3.
-Proficiency with IBM Cloud services, including compute, storage,
networking, and AI-specific offerings.
-Familiarity with CI/CD pipelines, version control systems (e.g., Git),
and containerization tools (e.g., Docker, Kubernetes).
-Strong understanding of RESTful API design and implementation.
-Experience with both SQL and NoSQL databases relevant to AI
applications.
-Basic understanding of cloud security best practices, data encryption,
and compliance standards.

Soft Skills:
-Ability to work collaboratively in a cross-functional team environment.
-Excellent verbal and written communication skills, with the ability to
convey complex technical concepts to diverse audiences.
-Strong analytical and problem-solving abilities to address technical
challenges effectively.
-Excellent organizational skills with the ability to manage multiple
priorities and meet deadlines.
-Ability to thrive in a fast-paced, dynamic environment and adapt to
changing project requirements.
-High level of accuracy and attention to detail in all aspects of
development and documentation

Preferred Technical and Professional Expertise
listed above