Kforce Inc
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This range is provided by Kforce Inc. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$57.50/hr - $62.50/hr Responsibilities
Design, develop, and maintain AI-driven applications and services using Python and modern machine learning frameworks Write clean, efficient, and scalable code with a strong focus on algorithms, data structures, and performance optimization Build and optimize data pipelines for training, validating, and deploying machine learning models at scale Collaborate with data scientists, ML engineers, and product teams to translate business requirements into robust AI solutions Implement best practices in software engineering, testing, and version control to ensure high-quality deliverables Optimize AI/ML workloads for speed and scalability across distributed computing environments Conduct code reviews and mentor junior engineers to promote engineering excellence and strong coding discipline Stay current with advancements in AI, ML, and deep learning technologies, bringing innovative solutions into production systems Requirements
3+ years of hands-on experience Proven experience as a Python Developer with hands-on expertise in building production-grade applications Must be hands-on with coding and demonstrate strong programming foundations (data structures, algorithms, object-oriented design) Strong background in AI/ML with experience using frameworks such as TensorFlow, PyTorch, or Scikit-learn Proficiency in data handling and manipulation using libraries like NumPy and Pandas Experience with SQL databases for managing and accessing training data Knowledge of model deployment and scaling in enterprise or cloud environments (AWS, Azure, or GCP) Familiarity with containerization and orchestration (Docker, Kubernetes) for AI/ML workloads (preferred) Strong debugging, optimization, and performance-tuning skills for both code and AI models Key Focus Areas
Python Development: Core programming language for AI/ML applications AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn Data Pipelines: ETL, preprocessing, and feature engineering for large datasets SQL Databases: Schema design, query optimization, and handling structured data Enterprise-Scale AI: Building secure, reliable, and scalable AI solutions Hands-On Programming: Strong coding discipline with emphasis on maintainability and performance Cloud & Deployment (Preferred): AWS/GCP/Azure, Docker, Kubernetes Seniorities
Associate Employment type
Contract Job function
Engineering and Information Technology Industries
Motor Vehicle Manufacturing Referrals increase your chances of interviewing at Kforce Inc by 2x
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$57.50/hr - $62.50/hr Responsibilities
Design, develop, and maintain AI-driven applications and services using Python and modern machine learning frameworks Write clean, efficient, and scalable code with a strong focus on algorithms, data structures, and performance optimization Build and optimize data pipelines for training, validating, and deploying machine learning models at scale Collaborate with data scientists, ML engineers, and product teams to translate business requirements into robust AI solutions Implement best practices in software engineering, testing, and version control to ensure high-quality deliverables Optimize AI/ML workloads for speed and scalability across distributed computing environments Conduct code reviews and mentor junior engineers to promote engineering excellence and strong coding discipline Stay current with advancements in AI, ML, and deep learning technologies, bringing innovative solutions into production systems Requirements
3+ years of hands-on experience Proven experience as a Python Developer with hands-on expertise in building production-grade applications Must be hands-on with coding and demonstrate strong programming foundations (data structures, algorithms, object-oriented design) Strong background in AI/ML with experience using frameworks such as TensorFlow, PyTorch, or Scikit-learn Proficiency in data handling and manipulation using libraries like NumPy and Pandas Experience with SQL databases for managing and accessing training data Knowledge of model deployment and scaling in enterprise or cloud environments (AWS, Azure, or GCP) Familiarity with containerization and orchestration (Docker, Kubernetes) for AI/ML workloads (preferred) Strong debugging, optimization, and performance-tuning skills for both code and AI models Key Focus Areas
Python Development: Core programming language for AI/ML applications AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn Data Pipelines: ETL, preprocessing, and feature engineering for large datasets SQL Databases: Schema design, query optimization, and handling structured data Enterprise-Scale AI: Building secure, reliable, and scalable AI solutions Hands-On Programming: Strong coding discipline with emphasis on maintainability and performance Cloud & Deployment (Preferred): AWS/GCP/Azure, Docker, Kubernetes Seniorities
Associate Employment type
Contract Job function
Engineering and Information Technology Industries
Motor Vehicle Manufacturing Referrals increase your chances of interviewing at Kforce Inc by 2x
#J-18808-Ljbffr