AI/ML Engineer

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

Responsibilities:
* AI/ML Engineer will partner with Data Scientists and to help use the foundational platform upon which models can be built and trained
* Operationalize ML Models at scale (e.g. Serve predictions on tens of millions of customers)
* Exploring new technology trends and maximizing them to simplify our data and ML ecosystem
* Designing & developing a feature generation & store framework that promotes sharing of data/features among different ML models
* Build tools to help detect shifts in data/features used by ML models to help identify issues in advance of deteriorating prediction quality, monitoring the uncertainty of model outputs, automating prediction explanation for model diagnostics
* As an AI/ML Engineer, you will drive Innovation and implementing solutions with future thinking
* Guiding teams to improve development agility and productivity
* Resolving technical roadblocks and mitigating potential risks
* Delivering system automation

REQUIREMENTS:
* Bachelor's or Master's degree or equivalent experience in a technology related field (e.g. Computer Science, Engineering, etc.)
* 5+ years of proven experience in developing and implementing Python-based cloud applications and/or machine learning solutions
* Solid experience in Agile methodologies (Kanban and Scrum)
* Proven experience in building cloud-native applications using a range of AWS services, including but not limited to SageMaker AI, Bedrock, S3, CloudFormation (CFT), SNS, SQS, Lambda, AWS Batch, Step Functions, EventBridge, and CloudWatch; Familiarity with both Azure Cognitive Services, particularly for deploying OpenAI models, and Google Compute Vertex is beneficial
* Strong experience with CI/CD tools, particularly Jenkins, for automating and streamlining the software development pipeline
* Hands-on experience with containerization technologies such as Docker for building and deploying applications
* Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required
* Strong knowledge of developing highly scalable distributed systems using Open-source technologies
* Expertise in infrastructure as code (IaC) services, including AWS CloudFormation and tools like Terraform or OpenTofu, for managing and provisioning cloud resources
* Proficiency in Python software development with strong experience in its ML ecosystem (NumPy, pandas, sklearn, TensorFlow, etc.), along with solid skills in Linux scripting
* Proficient in using version control systems like Git for effective code management and collaboration
* Ability to design and implement software using both object-oriented and functional programming paradigms
* Basic knowledge of Java and Groovy is a plus

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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