Staff Machine Learning Engineer - C2H

Job Title: Staff Machine Learning Engineer (Contract-to-Hire)

Location: Remote (United States)

Duration: 4 Months (Contract)

Start Date: Immediate

Visa Sponsorship: Not at the moment

Requirements

We are looking for an experienced Staff Machine Learning Engineer for a 4-month contract, with the potential to transition into a permanent role. This fully remote position, based in the United States, requires an immediate start. 

The ideal candidate will have strong expertise in building large-scale AI systems and data infrastructure, with a focus on intelligent automation. As a Technical Lead, you’ll work closely with subject matter experts to translate their knowledge into scalable, automated processes for optimizing resource allocation.  

Key Responsibilities: 

• Develop and deploy a novel AI/automation solution to streamline manual processes within a company’s internal operations.  
• The solution will leverage constrained optimization to improve allocation & assignment of the company’s employees, replacing manual coordination with a smart system that enhances efficiency, accuracy, and service quality. 
• Work closely with client subject matter experts (SMEs) who currently define the operational logic. A crucial aspect of this role will be to codify their expertise into the novel AI/automation solution, making the process more accessible and streamlined for other team members.  

Required Qualifications: 

• Strong understanding of Machine Learning Algorithms, AI models, and Frameworks (e.g. TensorFlow, PyTorch) to design and implement intelligent systems. 
• Experience with building data pipelines and working with large datasets, along with strong proficiency in SQL and data warehouse solutions (e.g., Azure is preferred). 
• Expertise in creating AI-driven automation tools, specifically in resource allocation and scheduling optimization. 
• Advanced proficiency in Python, along with experience in other programming languages like Java, Scala, or C++ for production-level code development. 
• Experience with Azure for deploying machine learning models and managing data storage. 
• Ability to collaborate with subject matter experts (SMEs) to codify their expertise into a scalable, automated system. 
• Familiarity with RESTful APIs and microservices architecture for integrating machine learning models into existing systems. 
• Strong knowledge of algorithms and data structures to develop efficient, high-performance solutions. 
• Experience with Git, CI/CD pipelines, and containerization (Docker, Kubernetes) for model deployment and maintenance. 
• Proven ability to analyze complex business problems and design machine learning solutions that address real-world challenges. 
• Strong communication skills for working with cross-functional teams, including SMEs, data engineers, and software developers. 
• Ability to start immediately and commit to a 4-month contract. 

Benefits

Why Join Us? 

• Opportunity to work on exciting projects with a leading client. 

• Fully remote work, offering flexibility and work-life balance. 

• Potential for a full-time role after the initial 4-month contract. 

If you meet the qualifications and are excited about this opportunity, please submit your resume. We are looking to fill this role immediately and will review applications on a rolling basis.