Job Title – Anti-fraud ML engineer

Location – United Kingdom( Remote)

Duration - Full time

Job Description

The Cognition Analytics team is a part of the Cognition Product development team, building Analytic services using the models built by Data Science & Research teams. As a ML Lead, you will be responsible for both technical leadership and people management, with a focus on driving the development, deployment and support of advanced analytics that deliver communications intelligence driving actionable insights as part of our FinTech and RegTech Product portfolio. You will work closely with cross-functional teams to understand business objectives, collaborating with product managers, data scientists, and other stakeholders to innovate and deliver high quality, secure, and resilient cloud-based SaaS Analytic solutions.

How will you contribute?

• Proficiency with JVM language (Java/Kotlin) and experience in Python
• Experience in NLP, ML-Ops and data pipelines
• Experience with ML frameworks/libraries such as TensorFlow, PyTorch, scikit-learn
• Strong understanding of ML Algorithms, Statistical techniques, and data analysis methodologies
• Experience with Data processing, feature engineering and model evaluation techniques.
• Experience in cloud platforms like Amazon Web Services & Google Cloud
• Experience with Amazon SageMaker and Jupyter Notebooks
• Experience with Model Servers such as Triton Inference server
• Experience working in AI/ML based Analytics products for Fintech/Regtech domain
• Experience in microservices & event-driven architecture.
• Exposure and experience in building ML applications/services with cloud scalability
• Experience in Kafka and RDBMS such as MySQL & Postgres
• Proficient in containerized platforms like Docker, Helm & Kubernetes
• Experience in CI/CD tools like Bamboo, Argo CD
• Experience in Prometheus & Grafana
• Proficient in API design
• Proficient in working with distributed systems

What will you bring?

• Collaborate with cross-functional teams to design complex solutions and integrate multiple software products to solve high-level challenges.
• Act as a subject-matter expert in machine learning, fintech, and Regtech domains, providing technical leadership, insights, and guidance to internal teams and external stakeholders.
• Can weigh the pros and cons of various solutions and propose the best path.
• Work closely with Product Management and engineering teams to define and implement features in a fast-paced environment with careful attention to quality, scalability, and maintainability.
• Can break down complex technical solutions into simple abstractions.
• Influence Principal Engineers/Product Managers on product designs.
• Can investigate and solve complex bugs, performance, security, and scalability issues.
• Actively participate in troubleshooting and fixing Production Issues following the incident management process.
• Recognize issue patterns and implement proactive measures to address the root causes.
• Manage task lifecycle using tools like JIRA
• Participate in internal & external code reviews, provide and receive feedback for continuous improvement.
• Influence, Establish and Sustain Best Practices.
• Mentor and coach team members.
• Actively participate in team agile ceremonies and provide valuable inputs.
• Other duties as assigned.

Additional Eligibility Qualifications

• Strong understanding and experience in continuous software delivery.
• Strong understanding of ML business and technology domain.
• Expert programming skills in relevant languages.
• Deep understanding and experience in software architecture/software engineering.