Machine Learning Engineer
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Job Title: Machine Learning Engineer - AI and Generative Systems
Location: Houston, TX
Fulltime -Onsite
Job Description:
We are looking for an experienced Machine Learning Engineer to join our team, where you'll play a critical role in designing and deploying advanced AI systems. The ideal candidate is passionate about leveraging cutting-edge technology to build robust machine learning models and solutions, especially in the generative AI space.
Key Responsibilities:
- Design and develop machine learning models to address complex challenges, implementing effective algorithms to maximize performance.
- Analyze large datasets to uncover insights and select the most appropriate machine learning techniques for each project.
- Conduct thorough tests and experiments to validate models and improve accuracy.
- Build versatile machine learning systems capable of processing various data types, including text, structured data, and images.
- Utilize state-of-the-art generative AI tools (such as Retrieval-Augmented Generation, prompt engineering, etc.) to address complex natural language problems.
- Establish transparent data and model pipelines to ensure governance and traceability.
- Collaborate with cross-functional teams to understand requirements and design optimal solutions.
- Lead the design and deployment of AI solutions using Microsoft’s AI services and related platforms.
- Participate in proof-of-concept projects in a fast-paced environment to refine and scale solution design.
Qualifications:
- Strong foundation in machine learning systems design and implementation.
- Expertise with generative AI models and the ability to adapt the latest AI toolsets for innovative solutions.
- Hands-on experience with Microsoft’s AI services and building scalable AI pipelines.
- Excellent analytical skills and experience working with diverse datasets to deliver actionable insights.
- Proven track record of collaborating with technical and non-technical teams to deliver impactful AI solutions.
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