Ai Developer
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Role details
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Job description
Experteer Overview In this AI Developer role, you will design, build, and deploy advanced AI/ML solutions to tackle complex business problems at scale.You’ll collaborate with global cross-functional teams, mentor junior members, and drive data-driven outcomes in enterprise environments.You’ll own end-to-end ML pipelines, from data ingestion to deployment, aligning with governance standards.This position offers the chance to shape analytics initiatives and contribute to large-scale analytics solutions within a global organization.Compensaciones / Beneficios- Design, develop, and deploy ML models (regression, classification, ensemble) for analytical problems- Provide technical leadership in AI solution design during cross-functional engagements- Develop and maintain scalable data pipelines and ML workflows on modern data platforms (cloud-based, distributed)- Build end-to-end AI-driven solutions using organizational and third-party technologies- Translate model outputs into actionable business insights with stakeholders- Create data models, feature pipelines, and scoring systems ensuring performance and scalability- Develop standards, templates, and best practices for model development and evaluation- Define scope, plans, and deliverables for components aligning with project objectives- Apply advanced domain knowledge to contribute to complex projects and optimize solutions- Mentor junior team members and foster strong internal/external collaborationResponsabilidades- 4+ years of experience as an AI Developer in large-scale or enterprise environments- Four-year or graduate degree in Computer Science, Data Science, AI, Engineering, or related discipline- Strong knowledge of supervised and unsupervised ML- Experience with data pipelines, feature engineering, and model evaluation metrics- Proficiency in Python and SQL- Experience with distributed computing (e.G., PySpark)- Cloud platform experience (Azure, AWS, GCP) and API development- Understanding of SDLC and model governance- Strong communication and collaboration skillsRequisitos principales- Hybrid work model- Health u** Life insurance- Flexible working hours- Inclusion u** belonging programs- Charity Day- Onsite medical services
Requirements
4+ years of experience as an AI Developer in large-scale or enterprise environments
- Four-year or graduate degree in Computer Science, Data Science, AI, Engineering, or related discipline
- Strong knowledge of supervised and unsupervised ML
- Experience with data pipelines, feature engineering, and model evaluation metrics
- Proficiency in Python and SQL
- Experience with distributed computing (e.G., PySpark)
- Cloud platform experience (Azure, AWS, GCP) and API development
- Understanding of SDLC and model governance
- Strong communication and collaboration skillsRequisitos principales
Benefits & conditions
Health u** Life insurance
- Flexible working hours
- Inclusion u** belonging programs
- Charity Day
- Onsite medical services
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