Della Infotech
Machine Learning Engineer 3
Della Infotech, Sunnyvale, California, United States, 94087
Description:
Onsite - Hybrid Max pay: BR Primary Function of Position The Machine Learning Engineer is responsible for designing, developing, and deploying AI/ML applications at scale. The role focuses on architecting robust systems for AI/ML workflows, building scalable data pipelines, and collaborating with cross-functional teams to integrate AI solutions into existing products. This position plays a key role in developing APIs, optimizing application performance, and ensuring the seamless deployment of models in production environments. Essential Job Duties • Design, develop, and deploy end-to-end AI/ML applications at scale • Architect robust and scalable systems for AI/ML workflows • Build and maintain scalable data pipelines and infrastructure to support AI/ML operations • Collaborate with cross-functional teams to integrate AI/ML solutions into existing products • Develop and implement APIs to enable communication between machine learning models and other systems • Optimize the performance of AI/ML applications through testing, tuning, and profiling • Ensure the smooth deployment of AI/ML models by integrating continuous integration/continuous deployment (CI/CD) pipelines Required Skills and Experience • 5+ years of professional experience building end-to-end AI/ML applications • Strong system design skills with experience architecting complex, scalable AI/ML systems • Strong software engineering skills with proficiency in Python and/or C++/C/Java • Knowledge of DevOps practices and CI/CD pipelines • Experience with machine learning frameworks such as TensorFlow or PyTorch • Experience with distributed systems • Solid understanding of data structures, algorithms, and software design principles • Expertise in MLOps practices, tools, and workflows Experience in integrating AI/ML models into production environments with performance monitoring and version control • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies Required Education and Training Bachelor's degree in Computer Science, Engineering, or related field; Master's or PhD preferred Working Conditions Preferred Skills and Experience • Familiarity with Generative AI models and techniques • Experience with chatbot development, particularly using RAG techniques or similar. • Contributions to open-source ML projects • Knowledge of DevOps practices and CI/CD pipelines Job Posting Type Additional Details Pre-identified worker (First Name, Last Name) & Supplier Name : (No Value) Job Posting Type : Agency Recruited Worker Required Worker Legal Name (For Manager Sourced Only) : (No Value)
Onsite - Hybrid Max pay: BR Primary Function of Position The Machine Learning Engineer is responsible for designing, developing, and deploying AI/ML applications at scale. The role focuses on architecting robust systems for AI/ML workflows, building scalable data pipelines, and collaborating with cross-functional teams to integrate AI solutions into existing products. This position plays a key role in developing APIs, optimizing application performance, and ensuring the seamless deployment of models in production environments. Essential Job Duties • Design, develop, and deploy end-to-end AI/ML applications at scale • Architect robust and scalable systems for AI/ML workflows • Build and maintain scalable data pipelines and infrastructure to support AI/ML operations • Collaborate with cross-functional teams to integrate AI/ML solutions into existing products • Develop and implement APIs to enable communication between machine learning models and other systems • Optimize the performance of AI/ML applications through testing, tuning, and profiling • Ensure the smooth deployment of AI/ML models by integrating continuous integration/continuous deployment (CI/CD) pipelines Required Skills and Experience • 5+ years of professional experience building end-to-end AI/ML applications • Strong system design skills with experience architecting complex, scalable AI/ML systems • Strong software engineering skills with proficiency in Python and/or C++/C/Java • Knowledge of DevOps practices and CI/CD pipelines • Experience with machine learning frameworks such as TensorFlow or PyTorch • Experience with distributed systems • Solid understanding of data structures, algorithms, and software design principles • Expertise in MLOps practices, tools, and workflows Experience in integrating AI/ML models into production environments with performance monitoring and version control • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies Required Education and Training Bachelor's degree in Computer Science, Engineering, or related field; Master's or PhD preferred Working Conditions Preferred Skills and Experience • Familiarity with Generative AI models and techniques • Experience with chatbot development, particularly using RAG techniques or similar. • Contributions to open-source ML projects • Knowledge of DevOps practices and CI/CD pipelines Job Posting Type Additional Details Pre-identified worker (First Name, Last Name) & Supplier Name : (No Value) Job Posting Type : Agency Recruited Worker Required Worker Legal Name (For Manager Sourced Only) : (No Value)