Founded in 2001, Insight Global (IG) offers enhanced staffing, placement staffing, and temporary-to-permanent staffing services, including long-term and short-term job assignments.
Senior AI Engineer
Location
Mexico
Posted
56 days ago
Salary
$50K - $120K / year
Seniority
Senior
Job Description
Senior AI Engineer
Insight Global
• Lead the design and development of scalable machine learning infrastructure on AWS. • Work closely with product teams to develop MVPs for AI-driven features. • Create and enhance monitoring and alerting systems for machine learning models. • Enable various departments within the organization to leverage AI/ML models. • Offer expertise in debugging and resolving issues related to machine learning models in production. • Design and scale machine learning architecture to support rapid user growth. • Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing.
Job Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
- At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.
- Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
- Proficiency with Python; experience with Golang is a plus.
- Experience working with relational databases, data warehouses, and using SQL to explore them.
- Familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
- Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
Benefits
- Health insurance
- Flexible working arrangements
- Paid time off
- Professional development
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Senior AI Engineer
Insight GlobalFounded in 2001, Insight Global (IG) offers enhanced staffing, placement staffing, and temporary-to-permanent staffing services, including long-term and short-term job assignments.
• Lead the design and development of scalable machine learning infrastructure on AWS. • Collaborate with product teams to develop MVPs for AI-driven features. • Create and enhance monitoring and alerting systems for machine learning models. • Enable various departments to leverage AI/ML models. • Offer expertise in debugging and resolving issues related to machine learning models in production. • Design and scale machine learning architecture to support rapid user growth. • Conduct code reviews, mentor team members, and elevate overall team capabilities.
• Design, develop, and optimize AI models, including training and fine-tuning for various applications. • Implement and deploy AI solutions on a cloud platform, ensuring scalability and performance. • Utilize Python for data preprocessing, model development, and automation of AI workflows. • Collaborate with the development team to broaden AI capabilities and enhance existing solutions. • Research and experiment with cutting-edge AI technologies, staying ahead of industry advancements. • Optimize and monitor AI models post-deployment, ensuring efficiency, accuracy, and reliability.
• Analyze existing customer business process in tight cooperation with stakeholders • Define “state-to-be” – optimised business processes • Implement improvements via automation and agents to identify automation opportunities • Design and deploy AI agents using platforms such as Zapier, Make.com, n8n, etc • Integrate AI solutions with customer tools (e.g., CRM, ERP, Slack, Notion, Gmail, Hubspot) • Test, monitor, and fine-tune AI agents to ensure reliability and performance • Collaborate closely with product, development, and client teams, customer stakeholders, and process owners
• Conduct qualitative and quantitative research to understand user needs, workflows, and pain points across multiple SaaS products in the portfolio. • Analyze competitive products and the broader AI landscape within our industry to identify patterns, gaps, and emerging best practices. • Partner with Product and Engineering leaders to inventory and assess available first-party data that can be leveraged to train models. • Synthesize insights from user research, competitive analysis, and data exploration into clear opportunity areas for reusable AI agents. • Develop concept briefs, workflows, and problem statements for AI-powered solutions.
