- Company: Get A Job.ai
- Location: Prince, Manhattan
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
We are representing a confidential financial services organization seeking a Sr. Lead Machine Learning Engineer for their Prince, Manhattan location. Our talent team at Get A Job.ai is conducting the search for this high-impact role focused on productionizing machine learning systems at enterprise scale.
Responsibilities
- Design, develop, and implement machine learning applications using existing and emerging technology platforms
- Work within an Agile team to productionize machine learning applications and systems at scale
- Participate in detailed technical design and architecture decisions for ML solutions
- Lead implementation of production-grade machine learning systems
- Collaborate with cross-functional teams to deploy and maintain ML models in production environments
What We're Looking For
- Senior-level experience in machine learning engineering with a track record of production deployments
- Strong technical design and development skills in machine learning applications
- Experience working in Agile environments and leading technical initiatives
- Demonstrated ability to scale machine learning systems in enterprise settings
- Proficiency with modern ML platforms and deployment technologies
How We Work With You
As your recruiting partner, Get A Job.ai will guide you through the entire process. When you apply through our platform at getajob.ai, one of our recruiters will screen your background and qualifications. If there's a strong match, we'll submit your profile directly to our client for consideration. Please do not contact the employer directly—all communication should go through our team to ensure the best outcome for your candidacy.
Pay
Compensation details will be discussed with qualified candidates during the screening process.
Equal Opportunity: Get A Job.ai is committed to inclusive recruiting practices and welcomes applications from all qualified candidates regardless of race, color, religion, sex, national origin, age, disability, or any other protected status.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Local insights for this role are preparing — this section updates automatically in a few seconds (or refresh).
Listing facts
- Role Sr. Lead Machine Learning Engineer
- Employer Get A Job.ai
- Location Prince, Manhattan
- Type Part Time
- Pay (from listing) Pay not listed
- Posted September 12, 2026
- Apply by October 12, 2026
- Country United States
- Overview Full job description on this page (284 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Typical work in Machine Learning Engineer
Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.
- Analyze problems to develop solutions involving computer hardware and software.
- Apply theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses.
- Assign or schedule tasks to meet work priorities and goals.
- Meet with managers, vendors, and others to solicit cooperation and resolve problems.
- Design computers and the software that runs them.
- Conduct logical analyses of business, scientific, engineering, and other technical problems, formulating mathematical models of problems for solution by computers.
Limited public data for this employer
We only show facts we can ground in public sources (Wikidata, O*NET, news/discussion links, or this listing). We do not invent Glassdoor-style ratings, salaries, or testimonials when data is thin. Use the listing facts, occupation context, and related openings below while we continue researching.
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Occupation family: Machine Learning Engineer
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