AI Engineer

RESPONSIBILITIES:
Kforce has a client that is seeking an AI Engineer in Jersey City, NJ.

Duties Include:

* Collaborate with business partners and peers within the organization to understand and scope the problem, gather business requirements, and facilitate the data integration process

* Work closely with team of data scientists to develop, implement and test Artificial Intelligence and Machine learning models to solve complex business challenges on Azure platform

* Research and implement state-of-the-art modeling approaches including but not limited to zero-shot/few-shot learning, embedding techniques, fine-tuning, etc.

* Ensure high quality code that meets business objectives, quality standards and secure web development guidelines

* Integrate with data/document sources using APIs and/or data pipelines

* Create excellent working relationships with business partners across the organization, IT, and Analytics peer groups

* Effectively communicate with key stakeholders in written, oral and presentation formats

REQUIREMENTS:

* 4+ years of experience in Machine Learning (ML), with deep expertise in writing, and reviewing production code in Python

* Knowledge of ML frameworks and libraries (such as Tensor Flow/Pytorch), and exposure to various ML algorithms and their practical implementation in production at large scale

* Experience with designing and deploying scalable end-to-end Machine Learning/NLP systems as Databricks jobs/dockerized containers

* Experience in distributed, high throughput and low latency architecture

* Experience with NLP techniques around text cleaning/pre-processing, entity extraction, encoder-decoder architectures, similarity matching, etc.

* Experience with Prompt Engineering techniques

* Understanding of LLM functionality and inference techniques

* Experience building software on top of containerization technology (Kubernetes, Docker, etc.), and familiarity with frameworks/tools such as FastAPI, Uvicorn

* Familiarity with Continuous Integration tools such as Jenkins

* Experience with architecting and consuming APIs in a scalable (multi-threaded/batched) fashion

* Ability to multi-task, learn new things quickly, and have excellent problem solving and communication skills

* A mindset for collaboration, knowledge sharing and keeping up to date on emerging industry trends

* Appetite for learning and keeping up to date on the latest generative AI technologies and processes

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note:

Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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