AIML Engineer

Candidates must me local to the New York or New Jersey area and commute into the city three times a week in Midtown NYC.

** PLEASE Only send me candidates in the NY/NJ area.

**We need A senior (8 years) AI/ML engineer with experience as a handson data scientist or AI/ML engineer in AI/ML/DS fields. Candidates must Design develop train and deploy AI/ML models to solve business problems through a full development and production cycle in the FinTech domain as well as Evaluate and compare the performance of different AI/ML algorithms and models. Strong knowledge of NLP techniques including text data preprocessing (tokenization stemming and text normalization etc.) and information extraction (summarization and question answering etc.)

Candidates need to me in the office 34 times a week (42nd St) and start onsite day one. No relocation

Interview Process: Video

Location: Hybrid NYC/Midtown No Relocation Candidates must be onsite day one and go into the office three times a week.

Please provide all the below details with each submittal. It is required for the vendor Management system.

Number of years working with:

Total IT experience:

Years working with: AI/ML Engineer

Years working with: Design develop train and deploy AI/ML models

Years working with: NLP

Years working with: CI/CD Pipelines

Full Name:

• Rate:
• Location:
• Availability to Interview: One Days notice
• Availability to Start: Two weeks
• Email Address:
• Phone Number:
• Visa Status:
• Education College/Year of graduation:
• Link to LinkedIN
• Certifications

• Design develop train and deploy AI/ML models to solve business problems through a full development and production cycle in the FinTech domain.
• Evaluate and compare the performance of different AI/ML algorithms and models.
• Utilize and improve Machine Learning Operations (MLOps) pipelines and procedures to ensure efficiency scalability and maintainability.
• Ensure the reliability robustness and scalability of machine learning models in production environments.
• Collaborate with crossfunctional teams including product managers and full stack engineers to deliver scalable machine learning solutions.
• Understand business requirements communicate with stakeholders and mentor junior team members.

Qualifications

• 8 years of experience as a handson data scientist or AI/ML engineer in AI/ML/DS fields.
• Advanced degree (Masters PhD) in a relevant field (AI/ML/DS mathematics computer science etc.).
• Solid understanding of Natural Language Processing techniques including text classification named entity recognition and information extraction.
• Experience working with Large Language Models such as GPT4 Liama 2 and other commercial or opensource models in production environment.
• Proficiency in programming languages commonly used in NLP such as Python and libraries/frameworks like TensorFlow PyTorch or spaCy and strong understanding of software engineering principles and best practices.
• Strong knowledge of NLP techniques including text data preprocessing (tokenization stemming and text normalization etc.) and information extraction (summarization and question answering etc.)
• Knowledge of machine learning algorithms and statistical techniques their limitations and implementation challenges
• Experience with cloud platforms and distributed computing environments for NLP tasks such as AWS Google Cloud or Azure
• Experience with software development best practices including source control (Git) CI/CD pipelines testing and documentation.
• Excellent problemsolving skills and the ability to work independently and collaboratively in a fastpaced agile environment.
• Strong communication skills and the ability to effectively articulate technical concepts to both technical and nontechnical audiences.

Nice To Haves

• Publications conference talks and/or patents in AI/ML/DS or related fields
• Experience with data visualization tools and techniques to effectively communicate and present findings.
• Experience with data transformation tool (such as dbt) and orchestration tool (such as Airflow).
• Portfolio of personal projects on Github BitBucket Google Colab Kaggle etc.

Experience working in Finance or Financial Technology (FinTech). Understanding of regulatory and compliance requirements in the financial industry and their implications for machine learning applications.