What are the responsibilities and job description for the Developer (AI/ML Scientist) position at Randstad Digital Americas?
Responsibilities
job summary:
Are you excited to solve real‑world business challenges by advancing Generative AI (GenAI) and modern AI/ML techniques? Do you enjoy bridging applied engineering, experimentation, and clear communication to deliver practical impact? If so, we invite you to join our team.
As a Senior AI/ML Scientist at Client, you will help advance AI/ML initiatives aligned with our Global Risk & Security (GR&S) organization. You will build scalable, value‑driven solutions that improve operational efficiency and reduce enterprise risk, working closely with cross‑functional partners to drive outcomes through robust technical execution and clear communication.
Core Responsibilities
AI/ML & GenAI Solution Leadership: Lead the design, development, and evaluation of AI/ML and GenAI solutions, identifying high‑impact opportunities and reviewing in‑development models for quality, robustness, and fitness for purpose.
Product & Business Partnership: Partner with product leaders and business stakeholders to prioritize AI features, models, and controls; serve as a trusted AI/ML subject‑matter expert to drive measurable business outcomes.
Model Quality & Governance: Design, implement, and manage model quality processes, including automated evaluation pipelines, human‑in‑the‑loop reviews, monitoring, and documentation aligned with responsible AI practices.
Technology Evaluation & Adoption: Evaluate emerging technologies and vendor solutions, recommending best practices for responsible and secure adoption of third‑party AI capabilities.
Cross‑Functional Collaboration: Work closely with business partners, engineers, risk and control teams, and external partners to align on requirements and deliver insights with urgency and clarity.
Applied Research & Implementation: Translate research and experimentation into production‑ready solutions by exploring novel techniques, algorithms, and architectures applicable to real‑world problems.
Communication & Knowledge Sharing: Clearly communicate complex technical concepts to both technical and non‑technical audiences; contribute to a culture of learning, reuse, and continuous improvement.
location: Malvern, Pennsylvania
job type: Contract
salary: $51.66 - 56.66 per hour
work hours: 8am to 5pm
education: Bachelors
Responsibilities
Responsibilities
Qualifications
MS or PhD in Computer Science, Machine Learning, or a related quantitative field.
3 years of industry experience delivering AI/ML solutions, including building, scaling, and optimizing training and inference workflows or APIs for deep learning models.
5 years of hands‑on programming experience in Python; experience with PySpark or distributed data processing frameworks is highly preferred.
Demonstrated experience with open‑source and/or commercial large language models (LLMs) and ecosystems (e.g., Hugging Face, LangGraph, or similar platforms).
Robust understanding of the GenAI landscape, including recent advancements, emerging trends, and principles of responsible and secure AI use.
Excellent communication and consulting skills, with the ability to influence and explain complex concepts to technical and non‑technical stakeholders.
Proven experience working in cross‑functional teams and balancing technical trade‑offs with business objectives.
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
Any consideration of a background check would be an individualized assessment based on the applicant or employee's specific record and the duties and requirements of the specific job.
job summary:
Are you excited to solve real‑world business challenges by advancing Generative AI (GenAI) and modern AI/ML techniques? Do you enjoy bridging applied engineering, experimentation, and clear communication to deliver practical impact? If so, we invite you to join our team.
As a Senior AI/ML Scientist at Client, you will help advance AI/ML initiatives aligned with our Global Risk & Security (GR&S) organization. You will build scalable, value‑driven solutions that improve operational efficiency and reduce enterprise risk, working closely with cross‑functional partners to drive outcomes through robust technical execution and clear communication.
Core Responsibilities
AI/ML & GenAI Solution Leadership: Lead the design, development, and evaluation of AI/ML and GenAI solutions, identifying high‑impact opportunities and reviewing in‑development models for quality, robustness, and fitness for purpose.
Product & Business Partnership: Partner with product leaders and business stakeholders to prioritize AI features, models, and controls; serve as a trusted AI/ML subject‑matter expert to drive measurable business outcomes.
Model Quality & Governance: Design, implement, and manage model quality processes, including automated evaluation pipelines, human‑in‑the‑loop reviews, monitoring, and documentation aligned with responsible AI practices.
Technology Evaluation & Adoption: Evaluate emerging technologies and vendor solutions, recommending best practices for responsible and secure adoption of third‑party AI capabilities.
Cross‑Functional Collaboration: Work closely with business partners, engineers, risk and control teams, and external partners to align on requirements and deliver insights with urgency and clarity.
Applied Research & Implementation: Translate research and experimentation into production‑ready solutions by exploring novel techniques, algorithms, and architectures applicable to real‑world problems.
Communication & Knowledge Sharing: Clearly communicate complex technical concepts to both technical and non‑technical audiences; contribute to a culture of learning, reuse, and continuous improvement.
location: Malvern, Pennsylvania
job type: Contract
salary: $51.66 - 56.66 per hour
work hours: 8am to 5pm
education: Bachelors
Responsibilities
Responsibilities
- Are you excited to solve real‑world business challenges by advancing Generative AI (GenAI) and modern AI/ML techniques? Do you enjoy bridging applied engineering, experimentation, and clear communication to deliver practical impact? If so, we invite you to join our team.
- As a Senior AI/ML Scientist at Client, you will help advance AI/ML initiatives aligned with our Global Risk & Security (GR&S) organization. You will build scalable, value‑driven solutions that improve operational efficiency and reduce enterprise risk, working closely with cross‑functional partners to drive outcomes through robust technical execution and clear communication.
- AI/ML & GenAI Solution Leadership: Lead the design, development, and evaluation of AI/ML and GenAI solutions, identifying high‑impact opportunities and reviewing in‑development models for quality, robustness, and fitness for purpose.
- Product & Business Partnership: Partner with product leaders and business stakeholders to prioritize AI features, models, and controls; serve as a trusted AI/ML subject‑matter expert to drive measurable business outcomes.
- Model Quality & Governance: Design, implement, and manage model quality processes, including automated evaluation pipelines, human‑in‑the‑loop reviews, monitoring, and documentation aligned with responsible AI practices.
- Technology Evaluation & Adoption: Evaluate emerging technologies and vendor solutions, recommending best practices for responsible and secure adoption of third‑party AI capabilities.
- Cross‑Functional Collaboration: Work closely with business partners, engineers, risk and control teams, and external partners to align on requirements and deliver insights with urgency and clarity.
- Applied Research & Implementation: Translate research and experimentation into production‑ready solutions by exploring novel techniques, algorithms, and architectures applicable to real‑world problems.
- Communication & Knowledge Sharing: Clearly communicate complex technical concepts to both technical and non‑technical audiences; contribute to a culture of learning, reuse, and continuous improvement.
Qualifications
MS or PhD in Computer Science, Machine Learning, or a related quantitative field.
3 years of industry experience delivering AI/ML solutions, including building, scaling, and optimizing training and inference workflows or APIs for deep learning models.
5 years of hands‑on programming experience in Python; experience with PySpark or distributed data processing frameworks is highly preferred.
Demonstrated experience with open‑source and/or commercial large language models (LLMs) and ecosystems (e.g., Hugging Face, LangGraph, or similar platforms).
Robust understanding of the GenAI landscape, including recent advancements, emerging trends, and principles of responsible and secure AI use.
Excellent communication and consulting skills, with the ability to influence and explain complex concepts to technical and non‑technical stakeholders.
Proven experience working in cross‑functional teams and balancing technical trade‑offs with business objectives.
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
Any consideration of a background check would be an individualized assessment based on the applicant or employee's specific record and the duties and requirements of the specific job.
Salary : $52 - $57