Senior AI/ML Engineer - Digital Forensics
Summary
Senior AI/ML engineer on DataFlow Group's Digital Forensics team, building and deploying computer vision, NLP, and deep learning models into production ML pipelines and AI services, while mentoring junior engineers. Core stack: Python, PyTorch/TensorFlow, MLOps tools (Kubeflow, MLflow, Airflow), and AWS/Azure/GCP.
About the Organisation:
DataFlow Group is a pioneering global provider of specialized Primary Source Verification (PSV) solutions, and background screening and immigration compliance services that assist public and private organizations in mitigating risks to make informed, cost-effective decisions regarding their Applicants and Registrants.
DataFlow with its best practices in this field such as a high level of data security, cutting-edge technology, rigorous processes, qualified research analysts, and a global network of over 100,000 issuing authorities, verifies professionals credentials from the primary issuer of the document - regardless of its nature.
About the Role:
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.
What You'll Own:
- Lead the end-to-end development, training, and optimization 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 modeling.
- 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.
What We're Looking For:
- 3+ years of professional experience working as an AI/ML Engineer or 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 optimization 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.