Software Developer, AI - Sr

Responsibilities:

• Business Process Understanding: Gain a deep understanding of our business processes to identify areas where AI-driven solutions can be applied.
• AI Evangelism: Promote AI-driven opportunities to automate business processes, highlighting the potential benefits in terms of speed, quality, and cost.
• Benefit Identification and Socialization: Identify and communicate the advantages of AI-driven solutions to stakeholders, ensuring they understand the impact on efficiency and effectiveness.
• Proof of Concepts (POCs): Develop and present POCs to demonstrate the feasibility and value of AI-driven solutions.
• Business Approval: Work with business leaders to gain approval for AI-driven initiatives by showcasing the potential ROI and strategic benefits.
• Global Implementation: Implement AI-driven solutions at scale across the organization, ensuring consistency and alignment with global standards.
• The employee will be assisting in developing or implementing new AI driven solutions, processes, policies, or systems.
• Demonstrate efficient and accurate completion of all responsibilities.
• Address any issues identified in the deployed solutions and resolve it within the time estimated and with the expected quality outcome.
• Document your work including solution and coding comments and release notes.

Education:

• Bachelor's degree in Computer Science, Engineering, or equivalent field or appropriate experience will be considered.

Experience:

• 5+ years of extensive experience in software development with a strong understanding of front-end and back-end technologies.
• 3+ years of experience can be considered for exceptional and proven candidates
• Strong experience in understanding and implementation of the latest AI driven solutions in enterprise software applications
• Previous working experience with an Interactive Response Technology (IRT) platform or system highly preferred.
• Proven ability to handle higher complexity work and building solutions from scratch.
• Expertise in mentoring junior developers.

Skills:

• Programming Proficiency: Strong programming skills in languages commonly used in AI development, such as Python, are crucial. Additionally, proficiency in .Net, Java, JavaScript, etc. is desirable.
• Hands-On Experience with AI Tools and Frameworks: Practical experience with AI tools and frameworks such as Hugging Face and OpenAI.
• Prompt Engineering: Ability to design and optimize prompts for AI models to achieve desired outputs.
• AI Integration in Business Processes: Experience in integrating AI solutions into existing business processes to enhance efficiency and effectiveness.
• Collaboration and Interdisciplinary Skills: Ability to work effectively with cross-functional teams, including business stakeholders, to implement AI solutions.
• Proof of Concepts (POCs): Experience in developing and presenting POCs to demonstrate the feasibility and value of AI-driven solutions.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Excellent organizational and time management skills
• Attentive listening skills.


Additional skills that are desirable but not mandatory include:


• Understanding Neural Networks: Proficiency in neural networks, including architectures like Convolutional Neural Networks (CNNs) and Transformers, is essential. This includes knowledge of activation functions and backpropagation techniques.
• Model Training and Fine-tuning: Experience in training and fine-tuning AI models to optimize performance and accuracy.
• Natural Language Processing (NLP): A solid understanding of NLP to handle tasks involving human language interaction.
• Data Ethics and AI Bias: Awareness of ethical considerations and bias in AI, ensuring responsible and fair use of AI technologies.
• Mathematical Foundations: Strong mathematical skills, particularly in areas relevant to AI, such as linear algebra, calculus, and probability.