Senior AI/ML Engineer | Data Science

Kelly Services; Dallas (TX); On-site; USD 135,000 - 165,000; Full time

Job summary

Kelly Services is looking for a Senior AI/ML Engineer to join a growing AI/ML team focused on predictive analytics, intelligent automation, and generative AI solutions. You will design, build, and deploy scalable AI systems that partner with data scientists, software engineers, and business stakeholders to drive meaningful outcomes.

You will contribute to cutting-edge ML/AI products that blend predictive modeling, optimization, and generative reasoning, shaping best practices in ML engineering,

Qualifications

• Master's degree in Computer Science, Software Engineering, Data Science, or related field (PhD preferred).
• 7+ years designing, developing, and deploying ML solutions in production.
• Strong Python development experience and reusable package creation.
• Hands-on Databricks for large-scale data processing and ML workflows.
• Deep understanding of ML systems design, MLOps, lifecycle management, scalable inference.
• Experience with Azure, AWS, or GCP.
• Expertise with containers, orchestration, and CI/CD pipelines.
• Proficiency with ML libraries and DBs (SQL/NoSQL).
• Experience integrating generative AI frameworks (LangChain, LangGraph, LlamaIndex, HF, AutoGen).
• Strong problem-solving and collaboration skills.

Responsibilities

• Collaborate with cross-functional teams to design, develop, and deploy scalable ML/AI products.
• Build reusable Python packages and scalable data pipelines for ML/AI initiatives.
• Design AI systems using LLMs, RAG, and agent-based workflows.
• Develop evaluation, observability, and monitoring for model quality, reasoning, fairness.
• Optimize database performance and data-processing workflows for large-scale AI apps.
• Translate business challenges into production-ready AI solutions with stakeholders.
• Contribute to MLOps, CI/CD, and Agile software development practices.
• Research and adopt emerging AI technologies and best practices.

Skills

Python development

Databricks

MLOps

Cloud platforms

CI/CD pipelines

LangChain integration

Distributed computing

Model lifecycle

Data processing

SQL/NoSQL

Education

Master's degree

Tools

LangChain

LangGraph

LlamaIndex

HuggingFace

AutoGen

Docker

Kubernetes

Job description

$135000 - $165000

We are seeking a Senior AI/ML Engineer to join a growing AI and machine learning team focused on developing next-generation predictive analytics, intelligent automation, and generative AI solutions. This role will partner closely with data scientists, software engineers, and business stakeholders to design, build, and deploy scalable AI systems that drive meaningful business outcomes.

As a Senior AI/ML Engineer, you will contribute to the development of cutting-edge machine learning and AI products that blend predictive modeling, optimization, and generative reasoning. You'll play a key role in building intelligent, scalable systems while helping shape best practices across machine learning engineering, MLOps, and modern AI architectures.

Required Skills & Experience

• Master's degree in Computer Science, Software Engineering, Data Science, or a related field (PhD preferred)

• 7+ years of experience designing, developing, and deploying machine learning solutions in production environments

• Strong Python development experience, including building reusable packages, frameworks, and automation tools

• Hands‑on experience with Databricks for large‑scale data processing, analytics, and machine learning workflows

• Deep understanding of machine learning systems design, MLOps, model lifecycle management, and scalable inference systems

• Experience working in cloud environments such as Azure, AWS, or GCP

• Experience with containerization technologies, orchestration tools, and CI/CD pipelines

• Proficiency with distributed computing frameworks, machine learning libraries, and relational/non‑relational databases

• Experience integrating generative AI frameworks such as LangChain, LangGraph, LlamaIndex, Hugging Face, or AutoGen into enterprise solutions

• Strong problem‑solving, communication, and collaboration skills

Preferred Qualifications

• Experience developing agentic AI systems, AI orchestration platforms, or AI‑assisted decision‑making workflows

• Experience designing and implementing Retrieval‑Augmented Generation (RAG) architectures

• Knowledge of evaluation, monitoring, and observability frameworks for AI and LLM applications

• Industry experience within utilities, energy, power, infrastructure, or other complex operational environments

• Deep expertise within the Databricks ecosystem for AI and data engineering solutions

What You Will Be Doing

• Collaborate with cross‑functional teams to design, develop, and deploy scalable software products that incorporate machine learning and AI models

• Build reusable Python packages and scalable data pipelines to support ML and AI initiatives

• Design and implement AI systems utilizing LLMs, Retrieval‑Augmented Generation (RAG), and agent‑based workflows

• Develop evaluation, observability, and monitoring frameworks to assess model quality, reasoning, consistency, and fairness

• Optimize database performance and data‑processing workflows for large‑scale AI applications

• Break complex machine learning and AI initiatives into actionable technical requirements and development plans

• Ensure high-quality testing, code coverage, and peer review practices across AI engineering projects

• Contribute to MLOps, continuous delivery, and Agile software development processes

• Research and implement emerging AI technologies, frameworks, and best practices

• Partner with stakeholders to translate business challenges into production‑ready AI solutions

Applicants must be currently authorized to work in the United States on a full‑time basis now and in the future. Sponsorship is not available for this position.

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full‑time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre‑employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.