ML Engineer

Overview

On Site
$80 - $90 hourly
Contract - W2
Contract - Temp

Skills

Operational Efficiency
Problem Solving
Conflict Resolution
Google Cloud Platform
Google Cloud
Salesforce.com
Scalability
Training
IT Operations
Business Systems
Testing
Data Science
Analytics
Data Engineering
Software Engineering
Analytical Skill
Communication
Collaboration
Agile
Python
SQL
Generative Artificial Intelligence (AI)
Machine Learning (ML)
Algorithms
Natural Language Processing
Deep Learning
Cloud Computing
Business Intelligence
Artificial Intelligence
Messaging

Job Details

RESPONSIBILITIES:
Kforce has a client that is seeking an AI Specialist/ML Engineer in Walnut Creek, CA. This is a contract to hire hybrid onsite role.

Summary:
The ML Engineer will use generative artificial intelligence and machine learning tools to create business solutions to improve experience and operational efficiency. This role will require independent learning and problem solving to succeed.

Essential Functions:
* Design and build AI solutions using Google Cloud AI and Salesforce AI platforms
* Train and fine tune models for performance, scalability, and accuracy
* Collaborate with stakeholders across the company to understand business requirements and identify opportunities for AI-driven solutions
* Evaluate training data for new solutions and ensure high quality data sources
* Work with IT engineering and IT operations teams to integrate and deploy new solutions into company business systems
* Implement testing and ongoing monitoring programs so that deployed models improve reliability and accuracy over time
* Pilot proofs of concept to test new model approaches and validate proposals brought by business partner
* Be responsible for components of business partner-led projects and lead internal projects to improve processes and operations

REQUIREMENTS:
* Bachelor's degree In Computer Science, Data Science, Artificial Intelligence, or a related field equivalent combination of education and experience
* 7+ years of relevant experience including data science, analytics, data engineering, and/or software engineering; Or 3+ years of experience in developing and deploying machine learning or AI models
* Strong mathematical and analytical capacity
* Strong communication and cross-team collaboration skills
* Ability to work in an agile environment and work on multiple projects simultaneously
* Proficient in relevant development tools such as Python, SQL
* Experience with generative AI frameworks and machine learning libraries
* Understanding of machine learning algorithms, natural language processing, and deep learning architectures
* Experience and understanding of cloud technologies and implementations
* Experience with business intelligence tools
* Visa sponsorship is not available for this position

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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