Senior Machine Learning Engineer

1 month ago


Belfast, United Kingdom Smarsh Full time
About the Role

We are seeking a highly skilled Senior Machine Learning Engineer to join our team at Smarsh. As a key member of our engineering team, you will be responsible for designing and developing complex machine learning models and algorithms to drive business growth and innovation.

Key Responsibilities
  • Design and develop machine learning models and algorithms to solve complex business problems
  • Collaborate with cross-functional teams to integrate machine learning solutions with existing software products
  • Act as a subject-matter expert in machine learning, fintech, and Regtech domains, providing technical leadership and guidance to internal teams and external stakeholders
  • Investigate and solve complex bugs, performance, security, and scalability issues

Requirements
  • 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 Model Servers such as Triton Inference server
  • Experience working in AI/ML based Analytics products for Fintech/Regtech domain
  • Exposure and experience in building ML applications/services with cloud scalability
  • Experience in Kafka and RDBMS such as MySQL & Postgres

What We Offer
  • Competitive salary and benefits package
  • Opportunity to work with a leading fintech company
  • Collaborative and dynamic work environment
  • Professional development and growth opportunities

How to Apply

Please submit your resume and a cover letter outlining your experience and qualifications for this role. We thank all applicants for their interest; however, only those selected for an interview will be contacted.



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