AI/ML Engineer

Our client, a global technology and digital solutions company supporting the financial services industry, is looking for an AI/ML Engineer to join their team on a 1-Year Project-Based Contract, with the possibility of extension based on business and project requirements.

We are looking for a hands-on AI/ML Engineer who can take AI/ML initiatives from concept through deployment. You will be responsible for designing, developing, training, testing, and integrating machine learning models into business applications and systems.

This role is suited for a versatile professional with experience across machine learning, software engineering, and MLOps, who can deliver end-to-end AI solutions aligned with business objectives.

Key Responsibilities

Data & Model Development

• Collect, clean, and preprocess data for training and testing.
• Design and develop machine learning models, including classical ML and deep learning models.
• Train, tune, and validate models using real-world datasets.
• Conduct model performance testing and error analysis.

System Integration

• Develop APIs and services to integrate AI/ML models into applications and platforms.
• Collaborate with software development teams to integrate AI functionality into existing systems.
• Ensure efficient model inference and scalability in production environments.

MLOps & Deployment

• Package and deploy models using technologies such as Docker, FastAPI, or cloud-based ML services.
• Implement monitoring for model accuracy, model drift, and overall system performance.
• Maintain version control for models, datasets, and data pipelines.

Collaboration & Documentation

• Work closely with Product and technical teams to translate business requirements into practical AI/ML solutions.
• Document models, datasets, technical architecture, and implementation decisions.
• Communicate technical findings and project results clearly to both technical and non-technical stakeholders.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
• At least 3 years of experience in applied machine learning, AI engineering, or a related role.
• Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience developing and deploying APIs using technologies such as FastAPI, Flask, or Node.js.
• Familiarity with cloud platforms such as AWS, GCP, or Azure and/or containerization technologies such as Docker and Kubernetes.
• Practical knowledge of data pipelines, ETL processes, data versioning, and data labeling tools.
• Strong understanding of model evaluation, performance optimization, and tuning.

Bonus Skills

• Experience with LLMs, prompt engineering, or LangChain.
• Familiarity with vector databases such as Pinecone, FAISS, or Milvus.
• Exposure to frontend frameworks such as React or Vue for prototyping.
• Understanding of data security, privacy, and compliance requirements, particularly within regulated industries.

• Opportunity to develop and deploy AI/ML solutions end-to-end.
• Exposure to real-world AI applications within the financial technology space.
• Autonomy in technical design and implementation.
• Opportunity to contribute to key business and technology initiatives.
• Collaborative environment with continuous learning and development opportunities.

Work Setup

• Fully onsite for the first 3 months
• Hybrid setup thereafter - 3 days onsite per week
• 1-Year Project-Based Contract, with potential for extension depending on business and project requirements.