Senior NLP Engineer

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New York City / $190000 - $210000 annum

INFO

Salary
SALARY:

$190000 - $210000

Location

LOCATION

New York City

Job Type
JOB TYPE

Permanent

NLP/Machine Learning Engineer - Financial Services

$190,000-$210,000 + Bonus

New York City - Hybrid

We are working with a top-tier financial institution that is rapidly expanding its AI and machine learning capabilities. They are investing heavily in NLP-driven solutions to enhance financial modeling, risk assessment, and automation.

As they scale, they are looking for an NLP/ML Engineer to design, build, and deploy machine learning models into production-playing a critical role in shaping the firm's AI strategy.

THE ROLE

This role will be responsible for developing and deploying end-to-end NLP and ML solutions that drive efficiencies across financial operations, risk assessment, and data analytics. You will work with cutting-edge machine learning frameworks to build scalable AI solutions that integrate seamlessly into the firm's core business processes.

RESPONSIBILITIES

  • Design and deploy NLP and ML models for financial risk assessment, automation, and decision-making.
  • Take models from research and development through production, ensuring scalability and efficiency.
  • Work closely with engineering and infrastructure teams to optimize model performance.
  • Develop and fine-tune large language models (LLMs) to enhance financial insights.
  • Integrate AI-driven solutions into cloud environments and financial data pipelines.
  • Collaborate with stakeholders across data science, trading, risk, and compliance teams.
  • Stay up to date with the latest AI research and advancements in NLP and ML.

YOUR BACKGROUND

  • Strong hands-on experience in NLP and machine learning, preferably in financial services.
  • Proven track record of deploying ML models into production at scale.
  • Expertise in Python, TensorFlow, PyTorch, and cloud-based ML solutions (AWS, Azure, or GCP).
  • Experience with large language models (LLMs) and transformer architectures.
  • Familiarity with MLOps best practices for model deployment and monitoring.
  • Strong problem-solving skills and ability to work cross-functionally.

HOW TO APPLY

If you have a background in NLP/ML and experience deploying AI models in financial services, apply via the link below or reach out to [Your Contact Name].

KEYWORDS

NLP | Machine Learning | LLMs | Financial AI | Risk Modeling | Model Deployment | Python | MLOps | AI in Finance | Cloud ML | Deep Learning

CONTACT

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