Machine Learning Engineer @ Xpanse | Jobright.ai
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Xpanse · 8 hours ago

Machine Learning Engineer

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Hiring Manager
Shawn Bloch
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Responsibilities

Develop, train, and fine-tune ML models, with a focus on LLMs, FMs, and RAG.
Lead the model development lifecycle from data collection and preprocessing to model evaluation and deployment.
Collaborate with business partners, engineers, analysts, and data scientists to translate business requirements into effective AI solutions.
Conduct experiments, including A/B testing, to enhance model accuracy and efficiency.
Deploy models to production, ensuring scalability and efficiency.
Optimize machine learning applications for performance and reliability.
Monitor and maintain models in production environments.
Stay updated on AI, ML, and GenAI advancements to drive innovation.
Provide data-driven insights and recommendations.
Mentor team members on AI/ML engineering best practices.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine Learning EngineeringTensorFlowPyTorchPythonRMLOpsAWSData AnalyticsLarge Data SetsGenAI Technology StackVectorDBsPrompt EngineeringGuardrails for GenAIData ProcessingCollaboration Skills

Required

Bachelor’s or master’s degree in computer science, Engineering, Data Science, or a related field.
5+ years of full-time work experience in one or more relevant machine-learning roles.
Proven experience as a Machine Learning Engineer or in a similar role.
Experience with developing machine learning models at scale from inception to business impact.
Strong expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R).
Experience in working with large data sets, data processing, and data analytics.
Familiarity with cloud platforms, preferably AWS, and their machine learning services.
Strong problem-solving skills and ability to work in a fast-paced, team-oriented environment.
Excellent communication and collaboration skills.

Preferred

Experience delivering models through the MLOps life cycle from exploration to serving.
Familiarity with GenAI technology stack, including frameworks for prompt engineering, guardrails for GenAI applications, and LLM fine-tuning.
Experience working with VectorDBs and other data infrastructure required to efficiently support Generative AI training pipelines and production applications.

Company

Xpanse

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At Xpanse, we don’t just see boundaries…we see horizons waiting to be expanded.

H1B Sponsorship

Xpanse has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (3)

Funding

Current Stage
Growth Stage

Leadership Team

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Phil Huff
CEO
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Gregory Middleman
Founder & Chief Operating Officer
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Company data provided by crunchbase
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