Senior Machine Learning Engineer at FactSet in New York, NY

Role/Department Description:

Responsibilities:

• 35% Machine Learning or Natural Language Processing Project to improve experience for clients, increase automation and provide cost savings.
• 20% Maintain completed ML/NLP programs. All processes used by clients will be supported and any issues with them will be quickly addressed.
• 20% Research for new ML/NLP project to ensure that we are performing all tasks in the best way possible.
• 15% Communicate project status with business stakeholders and senior managers to set expectations on project completions.
• 5% Holds regular meetings for projects (and reports, if any) to update status and help with any road blocks to ensure quicker deliverables.
• 5% Mentor/train junior machine learning engineers.

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Required Skills:

• Masters/PhD in machine learning or a related field to come up with the ideal solutions for challenging problems.
• Strong object-oriented programming skills to write good quality code.
• Technical Skills: Python, Deep Learning: Tensorflow 2, Keras or PyTorch, Cloud experience.
• Communication skills for working with Product Developers and other engineers.
• Leadership skills: Leading a project with multiple people.
• Write and design application services needed for other engineering teams to use our processes.
• Project management skills to successfully lead a project.
• Problem solving and analysis to come up with the ideal solutions for challenging problems.

Additional Job Description:

Decision Making:

• Determining what machine learning algorithms to use.
• Determining whether machine learning should be used for this use case.
• As a manager/project lead: determine what other engineers in the group will be working on.

Working Relationships with:

• Product/Content Developers/ Project Managers to review requirements weekly.
• Senior Software Engineers to coordinate engineering efforts weekly.
• System engineers as needed.
• Hardware needs/concerns monthly.
• Administrative and project related tasks weekly.

Major Challenges:

• Legacy code and breadth of proprietary domain knowledge Work on improving legacy code.
• Lack of documentation Add more documentation.
• Working with engineers in other time zones Finding times that work for both time zones, replying promptly to emails, keeping track of project progress in CQ/RPD.
• Working with poor performers Coaching.
• Working with competing priorities for multiple stakeholders Setting up appropriate timelines for each project.