AI/ML Engineer
AI/ML Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Role: AI/ML Engineer
Location: San Jose CA (Candidates from PST zone only)
Duration: Contract
The Opportunity
We are seeking a talented and experienced Machine Learning Engineer. In this role you will be at the forefront of applying Generative AI and traditional machine learning to solve complex business challenges.
You will bridge the gap between data science and software engineering taking models from concept to production and ensuring they are robust scalable and impactful.
Youll work with a modern tech stack centered on Python Google Cloud Platform and the latest in LLM technology.
Responsibilities
- Generative AI Development:
- Design develop and fine-tune Generative AI solutions using models like Googles 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 & 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: Bachelors 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):
- Masters 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
Employment Type
Full-time
