COMPANY INFORMATION

MS InfoTech Ltd (MSIT) is a UK based Software development company founded in 2013. We design and deliver software solutions to several market areas including the financial sector. Our clients are predominantly Europe based. We position ourselves to work on cutting edge technologies and aim to supply demonstrable benefits to our clients. Our management team have, collectively, decades of exposure in the IT industry spanning across support, design, networking and development in both the Corporate and SME space.

PREFERRED QUALIFICATIONS

· Experience with large-scale data architecture and distributed systems.
· Knowledge of deep learning architectures (CNNs, RNNs, Transformers).
· Familiarity with data visualization tools (Tableau, Power BI, Plotly).
· Experience with real-time analytics and streaming AI.
· Understanding of data privacy, security, and compliance (GDPR, HIPAA, etc.).

SOFT SKILLS:

· Strong organizational and multitasking abilities.
· Effective written and verbal communication with both technical and non-technical audiences.
· Proactive mindset with attention to detail and a willingness to learn.
· Strong analytical and problem-solving mindset with attention to detail.
· Highly organized, adaptable, and proactive in supporting project goals.

DESIRABLE SKILLS

• BS in Mathematics, Economics, Computer Science, Information Management or Statistics
• Experience of working in a Scrum or Agile methodology.
• Professional Certification

FOCUS OF YOUR ROLE:

We are on the hunt for a technology-oriented Senior AI Developer to work closely with our clients to identify what it is they need, and how we can solve their problems with innovative digital tech. Skilled in coordinating teams across software, data engineering, and data modelling initiatives. Brings a strong understanding of cloud platforms, microservices, data analysis tools, and modern technologies like Databricks and AI/ML applications.

ROLES AND RESPONSIBILITIES:

· Develop clean, efficient, and scalable Python code for AI/ML applications and data pipelines.
· Build APIs and services to integrate AI/ML models into production systems.
· Implement unit tests, CI/CD pipelines, and code reviews to ensure high-quality software
· Design, train, and validate ML and AI models as well as Optimize models for scalability, latency, and performance.
· Develop and optimize data architectures.
· Ensure data quality, governance, and security across systems.
· Implement deep learning, NLP, recommendation systems, or predictive analytics solutions.
· Collaborate with data scientists to productionize research models.
· Automate ML workflows, including training, testing, and deployment.
· Implement CI/CD pipelines for ML/AI applications.
· Monitor and maintain models in production, ensuring reliability and fairness.
· Work with cloud infrastructure (AWS, GCP, Azure) for scalable deployments.