Founded in 2001, Insight Global (IG) offers enhanced staffing, placement staffing, and temporary-to-permanent staffing services, including long-term and short-t
Senior AI Engineer
Location
Brazil
Posted
59 days ago
Salary
$50K - $120K / year
Seniority
Senior
Job Description
Senior AI Engineer
Insight Global
• Oversee the design, development, and deployment of machine learning models that enhance our financial platform. • Drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment. • Collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address challenges in the shopping and fintech space. • Design and build scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker. • Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing. • Create and enhance monitoring and alerting systems for machine learning models. • Enable various departments to leverage AI/ML models, including Generative AI solutions, for different use cases. • Provide expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations. • Mentor team members through knowledge sharing and collaboration.
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.
- Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
- Proficiency with Python is required, and experience with Golang is a plus.
- Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
- Experience working with relational databases, data warehouses, and using SQL to explore them.
- Strong 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.
- Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
- Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.
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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-t
• 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.
