What are the responsibilities and job description for the EA ML Engineer position at ZEST Consulting LLC?
Job Description
Job Description
Amick Brown is seeking an experienced EA ML Engineer for our direct client.
Location : Sunnyvale, CA
Duration : 1 Year
Estimated pay range : $52 65 per client contract and candidate skills, experience and work location.
Job Description
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.
Convert AI / ML workflows into robust and user-friendly AI / ML applications.
Architect robust and scalable systems for AI / ML workflows, ensuring production readiness and maintainability.
Build and maintain scalable data pipelines and infrastructure to support AI / ML operations.
Publish AI / ML applications on cloud-based or on-premises AI platforms, ensuring optimal performance and scalability.
Collaborate with cross-functional teams to integrate AI / ML solutions into existing products.
Develop and implement APIs to enable seamless 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.
Create front-end interfaces (dashboards, monitoring tools, etc.) for user interaction with AI / ML applications.
Develop back-end logic and systems for processing and integrating machine learning workflows.
Required Skills and Experience
1 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.
Proficiency in both front-end and back-end development, including frameworks like React, Angular, Flask, or FastAPI.
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 like Docker or Kubernetes.
Demonstrated ability to convert AI / ML workflows into scalable and user-friendly applications.
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 advanced MLOps practices and cloud-native application deployment.
Hands-on experience creating production-quality code and scalable applications for real-world use cases.
Amick Brown is an Information Technology consulting company specializing in ERP, Data Analytics, Information Security, Application Development, Networking, and Cloud Computing. The company was founded in 2010 and is headquartered in San Ramon, California.
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