Senior AI/ML Engineer (Generative AI & MLOps)

Job Summary We are seeking an experienced AI/ML Engineer to design, develop, deploy, and support scalable AI and Machine Learning solutions that drive business value. The ideal candidate will have strong experience in Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), MLOps, and software engineering, with the ability to deliver production-ready AI applications.

location: Pennington, New Jersey

job type: Solutions

salary: $58 - 68 per hour

work hours: 9am to 5pm

education: Bachelors

Responsibilities We are seeking an experienced AI/ML Engineer to design, develop, deploy, and support scalable AI and Machine Learning solutions that drive business value. The ideal candidate will have strong experience in Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), MLOps, and software engineering , with the ability to deliver production-ready AI applications.

Key Responsibilities

• Design, build, and deploy ML models for prediction, recommendation, forecasting, and anomaly detection.
• Develop Generative AI solutions using LLMs and implement RAG architectures leveraging vector databases and enterprise knowledge sources.
• Build and maintain MLOps pipelines for model training, deployment, monitoring, and continuous improvement.
• Develop APIs and microservices to integrate AI capabilities into enterprise applications.
• Collaborate with business, data, and engineering teams to translate requirements into AI-driven solutions.
• Ensure compliance with security, governance, responsible AI, and model risk management standards.
• Mentor team members and contribute to AI/ML best practices.

Qualifications Required Qualifications

Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related field.

5+ years of experience in AI/ML, Data Science, or Software Engineering.

Strong Programming Skills In Python And Experience With SQL. Hands-on experience with TensorFlow, PyTorch, Scikit-learn, and production ML deployments.

Solid understanding of machine learning algorithms, statistics, data processing, and software development best practices.

Preferred Qualifications Master’s degree in a related field.

Experience with Generative AI, LLMs (GPT, Llama, Claude), Prompt Engineering, and RAG.

Experience with AWS, Azure, or GCP.

Knowledge of Docker, Kubernetes/OpenShift, CI/CD, and MLOps platforms.

Experience with vector databases, large-scale data processing, and regulated industries such as financial services.

Technical Skills

Languages: Python, SQL (Java/JavaScript preferred)

AI/ML: Machine Learning, Deep Learning, NLP, Generative AI, LLMs, RAG, Prompt Engineering

Cloud & DevOps: Docker, Kubernetes/OpenShift, Git, CI/CD, Terraform

Data Technologies: Oracle, Spark, Redis Vector DB, MongoDB

Ideal Candidate: A hands-on AI engineer with strong software development skills who can take AI/ML solutions from concept to production while ensuring scalability, governance, and business impact.

Skills Experience with AWS,Spark,AI,large-scale data processing,Cloud,Strong programming skills,CI/CD,data processing,Data Technologies,Deep Learning,DevOps,Docker,GPT,Generative AI,Git,Computer Science,Java,JavaScript,Kubernetes,LLMs,machine learning algorithms,Machine Learning,ML solutions,MLOps,Azure,MongoDB,NLP,OpenShift,Oracle,Prompt Engineering,Python,PyTorch,Redis,SQL,Scikit-learn,Software Engineering,software development skills,software development best practices,TensorFlow,Terraform,business impact,Data Science,governance,financial services,Mathematics,statistics,scalability,vector databases

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 [email protected].

Pay offered to a successful candidate will be based on several factors including the candidate’s education, work experience, work location, specific j…