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Urgent! AI/ML Engineer Job Opening In San Jose California – Now Hiring CYNET SYSTEMS



Job description

Job Description:



Pay Range: $60hr - $65hr



Responsibilities:



Generative AI Development:


  • Design, develop, and fine-tune Generative AI solutions using models like Google's Gemini for tasks such as information extraction, document summarization, and report generation.


  • Architect and implement advanced Retrieval-Augmented Generation (RAG) systems to enhance model accuracy and provide verifiable, context-aware responses.


  • Research and apply emerging GenAI techniques, such as agentic frameworks, to build more autonomous and capable systems.



End-to-End Machine Learning:


  • Design and deploy a wide range of ML models (classification, regression, forecasting, etc.) on Google Cloud Platform.


  • Build and maintain robust, automated MLOps pipelines for data preprocessing, feature engineering, model training, validation, and deployment using tools like Vertex AI, BigQuery.

    etc.


  • Conduct deep data analysis to uncover insights, validate hypotheses, and guide feature engineering for improved model performance.



Collaboration And Strategy:


  • Partner closely with data scientists, software engineers, and other business stakeholders to frame problem statements, define technical requirements and deliver integrated AI/ML solutions.


  • Champion best practices in software engineering and MLOps to ensure the quality, maintainability, and scalability of our machine learning systems.


  • Continuously evaluate and stay current with the latest advancements in the ML and GenAI landscape.



Required Qualifications:


  • Experience: 3+ years of professional experience building and deploying machine learning models in a production environment.


  • Education: Bachelor's degree in Computer Science, Data Science, Statistics, or a related quantitative field.


  • Programming: Advanced proficiency in Python and its core data science/ML libraries (e.g., PyTorch, scikit-learn, Pandas).


  • Data & SQL: Advanced proficiency in SQL for complex data manipulation, aggregation, and analysis.


  • Generative AI: Demonstrable, hands-on experience in prompt engineering and/or fine-tuning Large Language Models (e.g., Gemini).


  • Cloud Platform: Hands-on experience with a major cloud provider, with a strong preference for Google Cloud Platform (GCP).


  • MLOps: Solid understanding of MLOps principles and experience with related tools (e.g., Vertex AI, CI/CD).



Preferred Qualifications (Nice-to-Haves):


  • Master s or PhD in a relevant field.


  • Specific experience with GCP services like Vertex AI, BigQuery, Google Cloud Storage, and GKE.


  • Experience building RAG systems from the ground up.


  • Proven ability to lead technical projects and mentor other engineers.





Required Skill Profession

Architecture And Engineering



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    Unlock Your AI ML Potential: Insight & Career Growth Guide


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