AI and Machine Learning Engineer

About Dailoqa

Dailoqa’s mission is to bridge human expertise and artificial intelligence to solve the challenges facing financial services. 

Our founding team of 20+ international leaders, including former CIOs and senior industry experts, combines extensive technical expertise with decades of real-world experience to create tailored solutions that harness the power of combined intelligence. 

With a focus on Financial Services clients we have deep expertise across Risk & Regulations, Retail & Institutional Banking, Capital Markets, and Wealth & Asset Management. Dailoqa has global reach in UK, Europe, Africa, India, ASEAN, and Australia. 

We integrate AI into business strategies to deliver tangible outcomes and set new standards for the financial services industry. 

Working at Dailoqa will be hard work, our environment is fluid and fast-moving and you'll be part of a community that values innovation, collaboration, and relentless curiosity.  

We’re looking at people who :

• Are proactive, curious adaptable, and patient 
• Shape the company's vision and will have a direct impact on its success. 
• Have the opportunity for fast career growth. 
• Have the opportunity to participate in the upside of an ultra-growth venture. 
• Have fun 🙂 

Don’t apply if:

• You want to work on a single layer of the application. 
• You prefer to work on well-defined problems. 
• You need clear, pre-defined processes. 
• You prefer a relaxed and slow paced environment. 

Our Philosophy

• Small team

  : Small talented teams outperform large and slow-moving companies. We avoid bureaucracy, keep meetings to a minimum and focus on creating value. 

• Simple where possible:

  We are passionate about new technology (in particular Machine Learning and AI), but we are more passionate about solving problems for our customers. We strive to find the best solution, be it cutting-edge or old-school. 

• Customer obsessed:

  We take every opportunity to talk to our customers. We obsess over their problems and work every day to make them happy. 

About the Role

We are looking for AI and Machine Learning engineer who want to help shape the future of Financial Services clients and our company. As part of the team, you will get to 

• Work directly with our founding team and be a core member. 
• Apply the latest AI techniques to solve real problems faced by Financial Services clients. 
• Design, build, and refine datasets to evaluate and continuously improve our solutions. 
• Participate in strategy and product ideation sessions, influencing our product and solution roadmap. 

Key Responsibilities

• Agentic AI Development

  : Work on building scalable multi-modal Large Language Model (LLM) based AI agents, leveraging frameworks such as LangGraph, Microsoft Autogen, or Crewai. 

• AI Research and Innovation

  : Research and build innovative solutions to relevant AI problems, including Retrieval-Augmented Generation (RAG), semantic search, knowledge representation, tool usage, fine-tuning, and reasoning in LLMs. 

• Technical Expertise

  : Proficiency in a technology stack that includes Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, and React. 

• LLM and NLP Experience

  : Hands-on experience working with LLMs, RAG architectures, Natural Language Processing (NLP), or applying Machine Learning to solve real-world problems. 

• Dataset Development

  : Strong track record of building datasets for training and/or evaluating machine learning models. 

• Customer Focus

  : Enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer. 

• Adaptability

  : Thrive in a fast-paced environment and are excited about joining an early-stage venture. 

• Model Deployment and Management

  : Automate model deployment, monitoring, and retraining processes. 

• Collaboration and Optimization

  : Collaborate with data scientists to review, refactor, and optimize machine learning code. 

• Version Control and Governance

  : Implement version control and governance for models and data. 

Required Qualifications:

• Bachelor's degree in computer science, Software Engineering, or a related field 
• 4-8 years of experience in MLOps, DevOps, or related roles 
• Have strong programming experience and familiarity with Python based deep learning frameworks like Pytorch, JAX, Tensorflow 
• Have strong familiarity and knowledge of machine learning concepts 
• Proficiency in cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools like Terraform 

Desired Skills:

• Experience with experiment tracking and model versioning tools 
• You have experience with technology stack: Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. 
• Knowledge of data pipeline orchestration tools like Apache Airflow or Prefect 
• Familiarity with software testing and test automation practices 
• Understanding of ethical considerations in machine learning deployments 
• Strong problem-solving skills and ability to work in a fast-paced environment