Job Overview:
Pay Range: $55.00hr - $60.00hr
Requirement/Must Have:
- 3+ years of professional experience building and deploying machine learning models in a production environment.
- Advanced proficiency in Python and its core data science/ML libraries (e.g., PyTorch, scikit-learn, Pandas).
- Advanced proficiency in SQL for complex data manipulation, aggregation, and analysis.
- Demonstrable, hands-on experience in prompt engineering and/or fine-tuning Large Language Models (e.g., Gemini).
- Hands-on experience with a major cloud provider, with a strong preference for Google Cloud Platform (GCP).
- Solid understanding of MLOps principles and experience with related tools (e.g., Vertex AI, CI/CD).
Responsibilities:
- 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.
- 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 and BigQuery.
- Conduct deep data analysis to uncover insights, validate hypotheses, and guide feature engineering for improved model performance.
- 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 machine learning systems.
- Continuously evaluate and stay current with the latest advancements in the ML and GenAI landscape.
Nice to Have:
- 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.
Skills:
- Python.
- PyTorch.
- scikit-learn.
- Pandas.
- SQL.
- Generative AI.
- Gemini.
- Google Cloud Platform (GCP).
- Vertex AI.
- BigQuery.
- MLOps.
- RAG systems.
Qualification And Education:
- Bachelor's degree in Computer Science, Data Science, Statistics, or a related quantitative field.
Benefits:
Our Benefits Include:
- Medical, Dental, and Vision Insurance
- 401(k) Retirement Plan
- Health Savings Account (HSA)
- Disability Insurance (Short-Term and Long-Term)
- Life and AD&D Insurance
- Paid Sick Leave (where required by applicable state or local law)
- Supplemental Insurance Plans
- Identity Theft Protection
- Pet Insurance
- Employee Wellness Programs
- Employee Assistance Program (EAP)
- Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.
About Cynet Systems
Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.