AIMLEAP
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Information Technology Support Services · 51 to 200 Employees · New York, US
AIMLEAP is an ISO 9001:2015 and ISO/IEC 27001:2013 certified global technology consulting and service provider offering Digital IT, AI-augmented Data Solutions, Automation, and Research & Analytics Services. AIMLEAP has been recognized as ‘The Great Place to Work®’. With focus on AI and automation-first approach, our services include end-to-end IT application management, Mobile App Development, Data Management, Data Mining Services, Web Data Scraping, Self-serving BI reporting solutions, Digital Marketing, and Analytics solutions. We started in 2012 and successfully delivered projects in IT & digital transformation, automation driven data solutions, and digital marketing for more than 750 fast-growing companies in the USA, Europe, New Zealand, Australia, Canada; and more. - An ISO 9001:2015 and ISO/IEC 27001:2013 certified - Served 750+ customers - 11+ Years of industry experience - 98% Client Retention - Great Place to Work® Certified - Global Delivery Centers in the USA, Canada, India & Australia Email: sales@fullstacktechies.com USA: 1-30235 14656 Canada: +1 4378 370 063 India: +91 810 527 1615 Australia: +61 402 576 615
Hiring: Engineering
What employees say
+ Great learning opportunities, supportive leadership, positive work culture, and excellent work-life balance. Employees are encouraged to explore new ideas, take ownership, and cont
− No major concerns to highlight.
More reviews on the company profile.
Job description
Overview
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Qualifications
- Lead and mentor engineering teams responsible for designing, implementing, and maintaining data ingestion, transformation, and delivery pipelines.
- Architect data systems combine scraping, big data processing, and AI-based enrichment to support analytics and product intelligence.
- Oversee API architecture and system scalability, ensuring high performance and secure data flow across services.
- Manage public data scraping and data integration projects that involve large, unstructured datasets and complex relational mappings.
- Drive AI model customization using open-source frameworks (LangChain, LlamaIndex, or custom LLM integrations) to improve automation and search intelligence.
- Collaborate with product managers, AI teams, and data analysts to translate requirements into actionable data engineering tasks.
- Implement and monitor data quality, governance, and compliance standards throughout the data lifecycle.
- Optimize deployment processes using Docker, Kubernetes, AWS Lambda, and CI/CD pipelines.
- Conduct regular technical reviews, mentor developers, and establish best practices for Python, cloud deployment, and automation.
- Bachelor's or master's degree in computer science, Engineering, or related field.
- Hands-on expertise in Python, Django, FastAPI, SQL, and API-driven system design.
- Strong understanding of data pipelines, scraping frameworks (BeautifulSoup, Scrapy), and distributed data systems.
- Proficiency in AWS cloud ecosystem, Docker, Kubernetes, and Git-based CI/CD workflows.
- Demonstrated leadership in managing multi-member engineering teams and delivering enterprise-grade products.
- Excellent analytical, communication, and problem-solving abilities.
- Familiarity with Agile methodologies, Jira/ClickUp, and project management best practices.
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