Power Staffing Solutions
We are seeking an experienced Machine Learning Engineer to join our growing team. In this role, you will design, build, and maintain scalable machine learning infrastructure while deploying production‑ready ML solutions that drive measurable business impact. The position requires deep expertise in cloud platforms, MLOps, and end‑to‑end pipeline development.
This organization is a fast‑growing data product company that partners with enterprise‑level clients across various industries. The focus is on delivering digital solutions that accelerate growth by creating value through innovation.
Key Responsibilities
Design, build, and maintain highly scalable, robust, and efficient cloud infrastructure using AWS services such as SageMaker, EC2, S3, Lambda, and other ML‑focused offerings.
Develop automation and orchestration for ML pipelines, integrating data ingestion, feature engineering, model training, and deployment processes.
Build and deploy production‑ready ML models for use cases such as pricing optimization, operational efficiency, and predictive analytics.
Implement natural language processing solutions and conversational AI systems.
Collaborate with cross‑functional teams—including data scientists, software engineers, and business stakeholders—to deliver end‑to‑end ML solutions.
Optimize data processing pipelines and AWS resources for low latency and cost efficiency.
Implement monitoring, alerting, and failover strategies to ensure platform reliability and model performance.
Stay current with industry trends and best practices in MLOps, AWS cloud engineering, and ML infrastructure.
Additional Responsibilities
Customer‑centric mindset: Driven to deliver ML solutions that produce tangible business outcomes.
Collaboration: Strong communication skills to translate business needs into technical solutions.
Problem‑solving: Able to address complex technical issues in ML pipelines, infrastructure, and scalability.
Automation‑first approach: Dedicated to streamlining processes for improved scalability and reliability.
Adaptability: Quick to learn and adopt new technologies in response to evolving needs.
Ownership and initiative: Takes responsibility for key components and drives innovation.
Job Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, Machine Learning, or a related field.
3+ years of experience in machine learning engineering or software engineering with an emphasis on ML infrastructure.
Hands‑on experience with AWS services (SageMaker, EC2, S3, Lambda, Glue, etc.).
Proficiency in Python and SQL, with experience in ML frameworks such as TensorFlow, PyTorch, or scikit‑learn.
Familiarity with orchestration tools (Airflow, Kubeflow, MLflow).
Knowledge of CI/CD pipelines and DevOps practices for continuous integration and deployment.
Experience with containerization and orchestration (Docker, Kubernetes).
Knowledge of data processing frameworks (Spark, Pandas, Dask).
Strong understanding of ML algorithms, model evaluation, and deployment challenges.
Preferred Qualifications
Experience in pricing optimization, recommendation systems, or operational analytics.
Knowledge of natural language processing and conversational AI development.
Experience with real‑time ML inference and streaming data processing.
Familiarity with A/B testing frameworks and experimentation platforms.
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Industries IT System Custom Software Development Referrals increase your chances of interviewing at Power Staffing Solutions by 2x Sign in to set job alerts for “Machine Learning Engineer” roles.
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Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Industries IT System Custom Software Development Referrals increase your chances of interviewing at Power Staffing Solutions by 2x Sign in to set job alerts for “Machine Learning Engineer” roles.
Atlanta, GA $150,000.00-$160,000.00 1 week ago Atlanta Metropolitan Area $200,000.00-$250,000.00 1 day ago Atlanta, GA $70,000.00-$120,000.00 1 month ago Atlanta, GA $99,840.00-$106,080.00 2 days ago Roswell, GA $105,740.00-$130,620.00 1 week ago Atlanta, GA $135,000.00-$155,000.00 5 days ago Atlanta, GA $145,000.00-$175,000.00 1 week ago Graduate Intern, Innovation and AI Engineering (Spring 2025)
Johns Creek, GA $151,400.00-$252,100.00 2 days ago Machine Learning Graduate Research Assistant – EOSL – Fall 2025
Data Science/Machine Learning/Cognitive Science GRA - Fall 2025 - SEAL
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr