Senior AI / ML Engineer

We are looking for an experienced and talented Senior AI/ML Engineer to design, develop, and deploy cutting-edge AI and machine learning solutions for our Digital Forensics team at DataFlow Group. This role requires deep technical expertise, the ability to work independently on complex problems, and a proven track record of bringing ML models from research to production scale. The Senior AI Engineer will mentor junior team members and drive technical excellence within the team.

Responsibilities:

• Lead the end-to-end development, training, and optimisation of complex machine learning and deep learning models (Computer Vision, Image Processing, NLP, domains).
• Proven ability to apply sophisticated ML skills, including advanced feature engineering, ensemble methods, deep learning architectures, and statistical modelling.
• Expertise in data structures, algorithms, and software design principles.
• Design and build robust, scalable, and efficient ML pipelines (MLOps) to be integrated into our Products.
• Architect and implement production-grade AI services and APIs.
• Evaluate and select appropriate algorithms, tools, and frameworks for specific problems.
• Conduct code reviews and ensure adherence to best coding and engineering practices.
• Troubleshoot and resolve complex performance, scalability, and deployment issues.
• Mentor junior engineers and contribute to the growth of the team's technical capabilities.

Requirements:

• 3+ years of professional experience working as an AI/ML Engineer or in a similar role.
• Strong proficiency in Python and core ML libraries (e. g., NumPy, Pandas, Scikit-learn).
• Proficiency in Python and all major ML/DL frameworks (PyTorch, TensorFlow).
• Experience working with MLOps tools and practices (e. g., Kubeflow, MLflow, Airflow, CI/CD) for integration into our products.
• Deep understanding of model optimisation techniques, performance tuning, and scaling AI models in distributed environments.
• Strong experience with cloud platforms (AWS/Azure/GCP) and related ML services.
• Proficiency in database technologies, including SQL and NoSQL.

Preferred Qualifications:

• Experience with specific domains such as NLP, Computer Vision, Image Processing, Deep Learning, Time Series analysis.
• Demonstrated experience in applied research, resulting in improvements to model accuracy, efficiency, or novel solution development.
• Proven ability to take up independent Projects.

Skills

Airflow, Kubeflow, MLOps, MLflow, PyTorch, Python, Scikit-learn, TensorFlow