About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Banking.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Role Overview

Confidential Client (Banking) is hiring an AI Engineer - Data Scientist I in New York, NY to design and build production-grade AI systems used across the business. This role sits at the intersection of AI research, software engineering, and product development. You will translate advanced Generative AI and machine learning techniques into robust, scalable solutions — working across experimentation, evaluation, deployment, and production monitoring.

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What You’ll Do

• Frame abstract business problems and convert them into ML/AI solutions.
• Own AI systems end-to-end: research and prototyping through architecture, implementation, deployment, and ongoing improvement.
• Design and implement LLM-based applications, retrieval-augmented generation (RAG) systems, and intelligent agents.
• Experiment with model architectures, retrieval strategies, prompting techniques, and agent workflows.
• Build rigorous evaluation frameworks, metrics, and tests to measure AI quality and identify improvement opportunities.
• Partner with product, engineering, and business stakeholders to deliver measurable outcomes.
• Drive cross-team collaboration to scale AI capabilities and production best practices.

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Required Qualifications

• Bachelor’s degree in Computer Science, Mathematics, Statistics, Physics, or a related quantitative/technical field.
• Minimum 2 years of experience developing production-quality software, machine learning systems, or AI-powered applications using Python and/or C++.
• Strong foundation in probability, statistics, and applied machine learning (NLP, time-series, Generative AI).
• Solid software engineering fundamentals: modular design, APIs, testing, version control, and maintainable production code.
• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.

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Nice to Have

• Graduate degree in a quantitative field (CS, Engineering, Math, Statistics, Physics).
• Hands-on experience building RAG systems, AI agents, LLM applications, or multimodal AI.
• Exposure to reinforcement learning, recommendation systems, optimization, or time-series modeling.
• Comfortable working in ambiguous, fast-paced environments and rapidly learning new technical areas.

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Skills & Tools

• Python, C++
• LLMs, RAG, NLP
• PyTorch or TensorFlow
• Docker, Kubernetes, cloud platforms (AWS/GCP/Azure)
• SQL and data engineering tools
• MLOps, CI/CD, monitoring and observability

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Location & Schedule

This role is based in New York, NY. Confidential Client maintains an in-office culture that supports collaboration and career development; role-specific flexibility may be provided. Hours per week: 40. Shift: 1st shift.

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Compensation

Base salary range: $107,300 - $193,200 per year (USD). Actual compensation will depend on experience, skills, and location. Benefits and total rewards details are provided by the Confidential Client.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.