Position: AI Engineer (Applied AI / Machine Learning)
Location: Palo Alto CA (5 Days a week work)
Duration: Long Term Contract
The Opportunity:
- We are seeking an AI Engineer to help bring machine learning and generative AI capabilities into real-world products and platforms. You will work at the intersection of data models and systems to deliver scalable production-ready AI solutions.
Role Summary:
- Develop and operationalize machine learning and generative AI solutions with a focus on model integration evaluation and production readiness.
What Youll Do:
- Select fine-tune (where needed) and integrate ML and foundation models into production systems
- Design and manage the end-to-end ML lifecycle (data experimentation deployment monitoring)
- Build robust evaluation frameworks to ensure model quality and performance
- Apply relevant techniques in NLP LLMs or computer vision depending on domain
- Develop data pipelines feature engineering workflows and model serving infrastructure
- Optimize performance cost and scalability across cloud and compute environments
- Collaborate with cross-functional teams to deliver AI-powered features
Qualifications:
- Bachelors or Masters in AI Computer Science Math or related field
- Proficiency in Python and modern ML frameworks (e.g. PyTorch TensorFlow)
- Experience deploying ML models into production environments
Core Competencies:
- Machine Learning Development
- MLOps & Model Operationalization
- Data & Model Quality
- Experimentation & Evaluation
- Software Engineering
- Technical Communication
Position: AI Engineer (Applied AI / Machine Learning) Location: Palo Alto CA (5 Days a week work) Duration: Long Term Contract The Opportunity: We are seeking an AI Engineer to help bring machine learning and generative AI capabilities into real-world products and platforms. You will w...
Position: AI Engineer (Applied AI / Machine Learning)
Location: Palo Alto CA (5 Days a week work)
Duration: Long Term Contract
The Opportunity:
- We are seeking an AI Engineer to help bring machine learning and generative AI capabilities into real-world products and platforms. You will work at the intersection of data models and systems to deliver scalable production-ready AI solutions.
Role Summary:
- Develop and operationalize machine learning and generative AI solutions with a focus on model integration evaluation and production readiness.
What Youll Do:
- Select fine-tune (where needed) and integrate ML and foundation models into production systems
- Design and manage the end-to-end ML lifecycle (data experimentation deployment monitoring)
- Build robust evaluation frameworks to ensure model quality and performance
- Apply relevant techniques in NLP LLMs or computer vision depending on domain
- Develop data pipelines feature engineering workflows and model serving infrastructure
- Optimize performance cost and scalability across cloud and compute environments
- Collaborate with cross-functional teams to deliver AI-powered features
Qualifications:
- Bachelors or Masters in AI Computer Science Math or related field
- Proficiency in Python and modern ML frameworks (e.g. PyTorch TensorFlow)
- Experience deploying ML models into production environments
Core Competencies:
- Machine Learning Development
- MLOps & Model Operationalization
- Data & Model Quality
- Experimentation & Evaluation
- Software Engineering
- Technical Communication
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