Software Engineer

Company Description

Archisurance Ltd is a UK-based boutique consulting firm that partners with organizations across industries to drive transformation through Enterprise Architecture, Digital Strategy, and AI-Driven Engineering, Design and Development . With collective over 18 years of experience in global consulting, our outcome-oriented solutions are grounded in industry leading frameworks, agile governance, and regional expertise in various parts of the world. We help organizations evolve from fragmented operations to integrated, insight-driven enterprises, bringing clarity, structure, and execution from vision to delivery.

Role Description

This is a full-time, on-site role for an Software Engineer (AI) located in Lahore. The AI Software Engineer will be responsible for the development, testing, and maintenance of software applications including AI led Mobile Apps, Web Applications and Industry solutions. This role involves back-end web development, object-oriented programming, and collaborating with cross-functional teams to design and implement software solutions that meet business needs. The engineer will also troubleshoot, debug, and upgrade existing systems, ensuring the smooth operation of software infrastructure.

As a AI & Machine Learning Engineer, you'll be instrumental in the design and development of machine learning processes in a variety of client environments. You will analyse client requirements and help generate suitable recommendations. You will help manage the ML lifecycle from data selection and collection, ML model design and creation all the way through to operationalization and monitoring. You will work closely with data scientists and senior MLOps Engineers to understand and implement models into production. At Archisurance, you'll enjoy extensive training opportunities coupled with a detailed learning path to guide you along the way. You'll thrive in our diverse and vibrant work environment and will be surrounded by peers who share your passion for data and technology.

Responsibilities:

• Work closely with the Data Science team to introduce automation and governance in their machine learning pipelines
• Manage the infrastructure and orchestration pipelines needed to automatically train and bring machine learning models to production
• Implement solutions to monitor the performance of Machine Learning models in production over time
• Work in teams with other technical experts, e.g. Data Engineers, Data scientists, MLOps Engineers, Data Visualization Specialists
• Interact with domain experts from different industries to understand and tackle challenging problems
• Explore and understand client data in relation to the problem you're tackling and communicate findings to clients and stakeholders

About the candidate:

• A minimum Bachelor's degree in Engineering/Computer Science is required. The ideal candidate will have a Bachelor's degree in Engineering/Computer Science and a Master's degree in Data Science or Artificial Intelligence
• Excellent communications skills; an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences
• You have an excellent understanding of key concepts in computer science (e.g. databases, software engineering practices, cloud computing - especially AWS) and data science (e.g. machine learning process)
• Excellent knowledge of Python including Pytorch, Tensorflow and SKLearn as well as initial knowledge of LangChain and RAGAS.
• Familiarity with CI/CD workflows is required and experience with containerisation and deployment using Docker/Kubernetes will be considered a plus
• 1+ year experience working in relevant role (training, evaluating and deploying Machine learning models)
• You can demonstrate a growth mindset in terms of picking up new challenges and transforming them in an opportunity to learn