Machine Learning Engineer

Machine Learning Engineer

A leading financial organization is expanding its Data & AI department and is looking for a talented Machine Learning Engineer to join a high-performing team.

If you're passionate about building scalable AI solutions, writing clean, production-grade code, and working with modern ML infrastructure in a data-intensive environment, we'd love to hear from you.

What You'll Do

• Design, develop, and maintain high-quality Python applications using Object-Oriented Programming (OOP) principles.
• Build complex data processing pipelines using Python, SQL, and Bash scripting.
• Develop and deploy APIs and intelligent data services using FastAPI, Django, Streamlit, and Pandas.
• Work with modern MLOps technologies, including Docker, OpenShift, and Dataiku, to support the full machine learning lifecycle.
• Develop and maintain CI/CD pipelines using Git, Bitbucket, and Jenkins.
• Integrate with enterprise databases including Oracle, SQL Server, and MongoDB, while leveraging monitoring tools such as Splunk.
• Collaborate closely with business stakeholders, data teams, and software engineers to translate business needs into scalable AI solutions.
• Manage development tasks and documentation using Jira and Confluence.

What We're Looking For

Required Qualifications

• Strong hands-on experience with Python and advanced Object-Oriented Programming (OOP).
• Excellent SQL skills, including writing complex queries for large-scale datasets.
• Strong Linux environment experience, including Bash scripting and Linux command line.
• Experience with Pandas, Streamlit, Django, and FastAPI.
• Hands-on experience with Docker and OpenShift.
• Experience working with Oracle, SQL Server, MongoDB, and Splunk.
• Experience with development and CI/CD tools including Git, Bitbucket, and Jenkins.
• Strong analytical thinking and problem-solving abilities.
• Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders.
• Strong attention to detail and commitment to writing clean, maintainable, production-quality code.

Nice to Have

• Experience with Dataiku (highly preferred).
• Previous experience developing and deploying Machine Learning solutions in enterprise environments.
• Experience working within financial services or other large-scale, data-driven organizations.

Why Join Us?

• Be part of one of the leading Data & AI teams in the financial industry.
• Build production-grade AI and Machine Learning solutions at scale.
• Work with cutting-edge technologies and modern MLOps practices.
• Collaborate with highly skilled engineers, data scientists, and business leaders.