AI Team Lead

Apply
Apply

Share

successfully icon

Successfully

The vacancy has been successfully added to favorites

location icon

New York City, United States of America

specialization icon

AI/ML

lob icon

BCM Industry

date icon

29/01/2026

Req. VR-120599

Apply
Project description

We're seeking an AI Engineer to design, build, and deploy production-grade ML/AI systems. You'll work with product, data and infrastructure teams to convert research and models into scalable, maintainable services that deliver real business value for one of the biggest financial institutions in USA.
Compensation 135000-300000 USD Gross per year, based on your experience and interview results.

Responsibilities
bullet icon

Design, develop and deploy ML/AI models and pipelines for production use.

bullet icon

Collaborate with data engineers to build robust data collection, validation, and feature pipelines.

bullet icon

Implement model training, evaluation, versioning, and monitoring workflows (CI/CD for ML).

bullet icon

Optimize models and inference for latency, throughput, cost, and accuracy.

bullet icon

Build APIs, microservices or serverless components to serve models in production.

bullet icon

Implement observability: metrics, logging, model drift detection, and alerting.

bullet icon

Conduct A/B tests and performance analysis; iterate on models based on real-world feedback.

bullet icon

Ensure model reproducibility, documentation and compliance with data privacy and security requirements.

bullet icon

Mentor junior engineers and contribute to engineering best practices.

Skills

Must have

bullet icon

BS/MS in Computer Science, Engineering, Statistics, or related field (or equivalent experience).

bullet icon

2+ years of experience building and deploying ML/AI systems in production.

bullet icon

Experience with LLMs, embeddings, retrieval-augmented generation (RAG) and MCP.

bullet icon

Experience with MLOps tools and workflows (MLflow, Kubeflow, TFX or similar).

bullet icon

Experience deploying models with cloud platforms (AWS/GCP/Azure) and container orchestration (Docker, Kubernetes).

bullet icon

Solid software engineering fundamentals: APIs, testing, CI/CD and code review.

bullet icon

Familiarity with model evaluation metrics, validation techniques, and bias/fairness considerations.

bullet icon

Strong communication skills and ability to work cross-functionally.

Nice to have

bullet icon

No

Other
seniority icon

Languages

English: C2 Proficient

seniority icon

Seniority

Lead

New York City, United States of America

Req. VR-120599

AI/ML

BCM Industry

29/01/2026

Req. VR-120599

Apply for AI Team Lead in New York City

*Indicates a required field

Under the terms of your specific consent or to perform our obligations under a contract with you, as applicable, we, Luxoft Holding Inc. will manually and electronically process your personal data, specifically your first name, last name, phone number, e-mail address and other data you provide us through this form.


Within this context, we process personal data only for the specific purpose(s) indicated in the individual consent language or other notices provided below.


We will – insofar as reasonably necessary for the purpose you have agreed to and within the scope of applicable laws – transfer your personal data to other entities within the Luxoft Group and to the group of third party recipients listed in our Privacy Notice. Such Recipients can be located outside the European Union (EU) and/or the European Economic Area (EEA) (“Third Countries”). The Third Countries concerned, e.g. the USA, may not have the level of data protection that you enjoy e.g. under the GDPR. This can result in disadvantages such as an impeded enforcement of data subjects’ rights, a lack of control over further processing and access by state authorities. You may only have limited legal remedies against this. Insofar our transfer of your personal data to recipients in Third Countries is not covered by an adequacy decision of the EU Commission, we achieve an adequate level of data protection as further detailed out in our Privacy Notice.


With your consent, we personalise marketing communications to you by way of carrying out marketing research analysis, analysing the surfing-behaviour of our website visitors and to adjust it to their detected tendencies, as well as to plan more efficient future marketing activities. This personalised marketing does not include any automated decision-making activities.


Further information on how we process personal data in general is available in our Privacy Notice. You may withdraw any given consent at any time. The withdrawal of your consent(s) will not affect the lawfulness of processing before its withdrawal. For any request in this context, please e-mail us at: DPO@luxoft.com.


Before uploading CV or any other information to this website, to learn more about your obligations and restrictions arising from the use of this website, please read our Terms of Use.