Job Title – Anti-fraud ML engineer Location – UnitedKingdom( Remote) Duration - Full time Job Description The CognitionAnalytics 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 forboth technical leadership and people management, with a focus ondriving the development, deployment and support of advancedanalytics that deliver communications intelligence drivingactionable insights as part of our FinTech and RegTech Productportfolio. You will work closely with cross-functional teams tounderstand business objectives, collaborating with productmanagers, data scientists, and other stakeholders to innovate anddeliver high quality, secure, and resilient cloud-based SaaSAnalytic solutions. How will you contribute? - Proficiency with JVMlanguage (Java/Kotlin) and experience in Python - Experience inNLP, ML-Ops and data pipelines - Experience with MLframeworks/libraries such as TensorFlow, PyTorch, scikit-learn -Strong understanding of ML Algorithms, Statistical techniques, anddata analysis methodologies - Experience with Data processing,feature engineering and model evaluation techniques. - Experiencein cloud platforms like Amazon Web Services & Google Cloud -Experience with Amazon SageMaker and Jupyter Notebooks - Experiencewith Model Servers such as Triton Inference server - Experienceworking in AI/ML based Analytics products for Fintech/Regtechdomain - Experience in microservices & event-drivenarchitecture. - Exposure and experience in building MLapplications/services with cloud scalability - Experience in Kafkaand RDBMS such as MySQL & Postgres - Proficient incontainerized platforms like Docker, Helm & Kubernetes -Experience in CI/CD tools like Bamboo, Argo CD - Experience inPrometheus & Grafana - Proficient in API design - Proficient inworking with distributed systems What will you bring? - Collaboratewith cross-functional teams to design complex solutions andintegrate multiple software products to solve high-levelchallenges. - 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 thebest path. - Work closely with Product Management and engineeringteams to define and implement features in a fast-paced environmentwith careful attention to quality, scalability, andmaintainability. - Can break down complex technical solutions intosimple abstractions. - Influence Principal Engineers/ProductManagers on product designs. - Can investigate and solve complexbugs, performance, security, and scalability issues. - Activelyparticipate in troubleshooting and fixing Production Issuesfollowing the incident management process. - Recognize issuepatterns and implement proactive measures to address the rootcauses. - Manage task lifecycle using tools like JIRA - Participatein internal & external code reviews, provide and receivefeedback for continuous improvement. - Influence, Establish andSustain Best Practices. - Mentor and coach team members. - Activelyparticipate in team agile ceremonies and provide valuable inputs. -Other duties as assigned. Additional Eligibility Qualifications -Strong understanding and experience in continuous softwaredelivery. - Strong understanding of ML business and technologydomain. - Expert programming skills in relevant languages. - Deepunderstanding and experience in software architecture/softwareengineering.