AI/ML Developer

Description

Global player in the railway sector is looking to create an internal platform aimed to support the Bid and Sales teams during critical stages of the bidding process, as well as to assist to Engineers throughout key phases of the Engineering projects lifecycle.

This solution utilizes various techniques, including multi-agent GenAI, to enhance the requirements and compliance process, facilitate data analysis and tender authoring, provide guidance in engineering, offer technical support, and aid in decision-making. It also generates essential artifacts such as requirements, designs, and tests. Additionally, the solution will enable data analytics to identify trends across bids, supporting the Sales and Product Development teams.

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Requirements

• Extensive experience in developing AI and machine learning models, with a focus on multi-agent systems and generative AI.
• Strong proficiency in programming languages such as Python, and familiarity with ML frameworks and libraries like TensorFlow, PyTorch, etc.
• Solid understanding of natural language processing techniques, with experience in deploying NLP systems and working with prompt libraries.
• Expertise in data analysis and analytics.
• Experience with cloud platforms for deploying AI solutions.
• Familiarity with DevOps practices and tools for CI/CD, containerization (Docker, Kubernetes), and version control (Git).
• Proven track record of driving innovation and solving complex technical problems using AI and machine learning.
• Good communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
• Experience working collaboratively within cross-functional teams.
• Understanding of data privacy and security standards, ensuring systems are compliant with industry regulations and best practices.
• Passion for continuous learning and staying updated with the latest trends and advancements in AI/ML technologies.

Job responsibilities

• Collaborate with PO, BA, stakeholders to understand the specific needs and requirements of the business process.
• Translate business needs into technical specifications for AI/ML models.
• Design and develop AI models, particularly multi-agent generative AI models, to assist with requirement compliance, data analysis, and tender authoring.
• Ensure models are trained on relevant datasets and are capable of providing accurate, context-aware insights.
• Implement NLP techniques to enable effective parsing and understanding of user prompts.
• Develop and refine the prompt library to facilitate seamless user interaction and request handling.
• Ensure the AI models integrate effectively with existing applications and workflows.
• Support the development of APIs or other integration methods to incorporate AI-generated data back into native applications.
• Develop analytics components to analyze trends across bids and provide actionable insights.
• Utilize statistical and machine learning techniques to derive patterns and predictions from historical data.
• Implement robust security measures to protect sensitive data and maintain confidentiality.
• Stay informed about the latest security protocols and ensure compliance with relevant regulations.
• Conduct thorough testing of AI models to ensure they meet quality, performance, and accuracy standards.
• Continuously evaluate model performance and implement improvements as necessary.
• Provide ongoing support and troubleshooting to address any system issues.
• Monitor and adapt AI systems to accommodate changes in the business process or user requirements.
• Create comprehensive documentation for developed solutions.