What are the responsibilities and job description for the AI/ML position at Lusso Tech LLC?
Job Details
ML engineer
Concord, CA
-------- USC-------------------
Preferred Qualifications:
Proven experience as an AI/ML engineer with a focus on platform engineering and Google Cloud Platform.
Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
Experience in Terraform and Helm will be an advantage.
Experience in implementing inferencing, benchmarking and fine-tuning of Generative AI models using Google Cloud Platform services.
Robust understanding of LLMs and proven experience building platforms and applications that leverage them.
Experience with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
Robust understanding of data storage, processing, and ETL workflows.
Knowledge in chunking strategies for vector database
Knowledge on classification & Embedding models.
Familiarity with Agile methodologies and project management tools.
Desired Qualifications:
Excellent problem-solving skills and the ability to work in a fast-paced environment.
Robust communication and collaboration skills to work effectively with cross-functional teams.
2 years of designing, developing, testing, optimizing python microservices using gRPC
2 years of Python development experience
3 years of Linux experience
Key Responsibilities:
Build robust AI/ML platforms on Google Cloud Platform, ensuring scalability, reliability, and performance.
Set up and maintain Google Cloud Platform services such as AI Platform, BigQuery, Cloud Storage, Compute Engine, and Kubernetes Engine.
Develop automated workflows and pipelines for model training, validation, deployment, and monitoring.
Work closely with data scientists, ML engineers, and other stakeholders to understand their needs and provide optimal solutions.
Continuously optimize the AI/ML infrastructure for cost, performance, and security.
Implement monitoring solutions to ensure the health and performance of AI/ML systems, and troubleshoot any issues that arise.
Maintain comprehensive documentation of the architecture, workflows, and best practices.JD - only paraJob Description: AI/ML Platform Engineer (Google Cloud Platform Focus)
We are seeking a talented AI/ML Platform Engineer with a Robust emphasis on Google Cloud Platform (Google Cloud Platform) to join our dynamic team. In this role, you will be responsible for designing, implementing, and maintaining AI/ML infrastructure and solutions that leverage the full power of Google Cloud Platform. Your expertise will be crucial in enabling our data scientists and machine learning engineers to develop, deploy, and scale AI models efficiently and effectively.
In this contingent resource assignment, you may: Consult as an expert to develop or influence initiatives and resources for highly complex business and technical needs across Engineering. Consult on the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, and advanced analytical and inductive thinking. Provide expertise to client senior leadership on innovative Engineering business solutions. Strategically engage with client personnel. Required Qualifications: 7 years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
Concord, CA
-------- USC-------------------
Preferred Qualifications:
Proven experience as an AI/ML engineer with a focus on platform engineering and Google Cloud Platform.
Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
Experience in Terraform and Helm will be an advantage.
Experience in implementing inferencing, benchmarking and fine-tuning of Generative AI models using Google Cloud Platform services.
Robust understanding of LLMs and proven experience building platforms and applications that leverage them.
Experience with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
Robust understanding of data storage, processing, and ETL workflows.
Knowledge in chunking strategies for vector database
Knowledge on classification & Embedding models.
Familiarity with Agile methodologies and project management tools.
Desired Qualifications:
Excellent problem-solving skills and the ability to work in a fast-paced environment.
Robust communication and collaboration skills to work effectively with cross-functional teams.
2 years of designing, developing, testing, optimizing python microservices using gRPC
2 years of Python development experience
3 years of Linux experience
Key Responsibilities:
Build robust AI/ML platforms on Google Cloud Platform, ensuring scalability, reliability, and performance.
Set up and maintain Google Cloud Platform services such as AI Platform, BigQuery, Cloud Storage, Compute Engine, and Kubernetes Engine.
Develop automated workflows and pipelines for model training, validation, deployment, and monitoring.
Work closely with data scientists, ML engineers, and other stakeholders to understand their needs and provide optimal solutions.
Continuously optimize the AI/ML infrastructure for cost, performance, and security.
Implement monitoring solutions to ensure the health and performance of AI/ML systems, and troubleshoot any issues that arise.
Maintain comprehensive documentation of the architecture, workflows, and best practices.JD - only paraJob Description: AI/ML Platform Engineer (Google Cloud Platform Focus)
We are seeking a talented AI/ML Platform Engineer with a Robust emphasis on Google Cloud Platform (Google Cloud Platform) to join our dynamic team. In this role, you will be responsible for designing, implementing, and maintaining AI/ML infrastructure and solutions that leverage the full power of Google Cloud Platform. Your expertise will be crucial in enabling our data scientists and machine learning engineers to develop, deploy, and scale AI models efficiently and effectively.
In this contingent resource assignment, you may: Consult as an expert to develop or influence initiatives and resources for highly complex business and technical needs across Engineering. Consult on the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, and advanced analytical and inductive thinking. Provide expertise to client senior leadership on innovative Engineering business solutions. Strategically engage with client personnel. Required Qualifications: 7 years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Contract ::::::::: AI/ML Engineer at Concord, CA(Onsite)
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