Machine Learning Engineer

Horizontal Talent; Pleasanton (CA); On-site; USD 41,328 - 85,411; Full time

Benefits offered by this job

Medical

Dental

Vision

Retirement

Job summary

Horizontal Talent is seeking a Machine Learning Engineer for a six-month opportunity to build, deploy, and optimize intelligent solutions across business applications in a collaborative setting. You will work with modern ML tools, cloud technologies, and MLOps practices.

Responsibilities include developing models, applying NLP, and deploying solutions with Python, R, SQL, and leading frameworks, while leveraging Azure and DevOps practices to ensure robust model lifecycles.

Qualifications

• Experience with supervised and unsupervised learning algorithms.
• Strong knowledge of neural networks and NLP concepts.
• Proficiency in Python, R, and SQL.
• Experience with TensorFlow, Keras, and PyTorch.
• Working knowledge of Microsoft Azure or similar cloud platforms.
• Understanding of DevOps and MLOps practices.
• Ability to manage priorities and contribute in a collaborative team setting.

Responsibilities

• Develop and improve machine learning models using supervised and unsupervised learning methods.
• Apply neural networks and natural language processing techniques to solve real-world problems.
• Build, test, and deploy ML solutions using Python, R, SQL, and leading frameworks.
• Support model lifecycle management through DevOps and MLOps best practices.
• Work with cloud-based tools and services, with a focus on Microsoft Azure.
• Collaborate with technical teams to optimize performance, reliability, and scalability of machine learning systems.

Job description

Join a dynamic team as a Machine Learning Engineer focused on building, deploying, and optimizing intelligent solutions that support a wide range of business applications. This six-month opportunity offers the chance to work with modern machine learning tools, cloud technologies, and MLOps practices in a collaborative environment.

Responsibilities

• Develop and improve machine learning models using supervised and unsupervised learning methods
• Apply neural networks and natural language processing techniques to solve real-world problems
• Build, test, and deploy ML solutions using Python, R, SQL, and leading frameworks
• Support model lifecycle management through DevOps and MLOps best practices
• Work with cloud-based tools and services, with a focus on Microsoft Azure
• Collaborate with technical teams to optimize performance, reliability, and scalability of machine learning systems

Skills

• Hands-on experience with supervised and unsupervised learning algorithms
• Strong knowledge of neural networks and NLP concepts
• Proficiency in Python, R, and SQL
• Experience with TensorFlow, Keras, and/or PyTorch
• Working knowledge of Microsoft Azure or similar cloud platforms
• Understanding of DevOps and MLOps practices
• Ability to manage priorities and contribute in a collaborative team setting

Preferred Skills

• Experience deploying machine learning models in production environments
• Familiarity with model monitoring, optimization, and maintenance workflows
• Exposure to cross-functional project collaboration
• Strong problem-solving skills and a proactive approach to technical challenges

Horizontal is committed to creating an inclusive and welcoming environment where diverse perspectives are valued and respected. We encourage candidates from all backgrounds to apply and bring their unique strengths to the team.

Applications will be accepted for 4 weeks.

• medical
• dental
• vision
• retirement

The pay range for this role is $30 - $62 per hour based on qualifications and experience.