Senior AI Engineer

🕒 Março 30

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $120.000 - $170.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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Traackr

SiteLinkedInTodas as Vagas

51 - 200 funcionários

☁️ SaaS

SaaS • Marketing

A Traackr é uma plataforma de software de marketing de influenciadores projetada para profissionais de marketing orientados por dados. A plataforma simplifica o marketing de influenciadores, fornecendo ferramentas para descoberta, gestão de campanhas, colaboração com influenciadores e relatórios. A Traackr foca em ajudar os usuários a fazerem investimentos mais inteligentes, oferecendo um conjunto abrangente de dados globais de influenciadores, avaliação de mercado e orientação especializada. Atende tanto a pequenas equipes quanto a programas complexos, sendo utilizada por grandes marcas para otimizar estratégias e medir o retorno sobre o investimento.

Descrição

• Design, build, and deploy scalable machine learning and AI systems in production environments. • Collaborate with Product Managers, Data Scientists and Engineers to lead the implementation of models and integrate them into data pipelines and agentic applications. • Lead model performance monitoring, retraining workflows, and continuous improvement. • Lead the implementation of data preprocessing and feature engineering pipelines for ML use cases. • Lead to experimentation and testing of AI models to improve accuracy and performance. • Develop, maintain, and optimize scalable data pipelines for analytics and machine learning workloads. • Ensure data reliability, quality, and performance across data systems. • Implement and maintain data ingestion pipelines from various internal and external sources. • Build and improve internal tools that support data operations and data quality. • Monitor and troubleshoot data pipelines to ensure consistent and timely delivery. • Contribute to improving platform efficiency and scalability. • Participate in code reviews and follow best practices in data and ML engineering. • Document data pipelines, ML workflows, and system architecture. • Contribute to evolving data and AI engineering best practices. • Stay current with emerging tools, frameworks, and trends in AI, ML, and data engineering.

🎯 Requisitos

• 4–7 years of experience in AI Engineering, Machine Learning Engineering, or Data Engineering. • Strong programming skills in Python, Java and SQL. • Proven experience designing and building production-grade ML systems and data pipelines. • Experience with Databricks, Apache Spark, or similar distributed data processing frameworks. • Strong understanding of machine learning lifecycle (training, deployment, monitoring, retraining). • Experience with cloud platforms (AWS, Azure, or GCP). • Solid knowledge of data architecture, data modeling, and data warehousing concepts. • Experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). • Familiarity with MLOps practices and tools (e.g., MLflow, Airflow, CI/CD pipelines). • Experience with version control (Git) and CICD development workflows. • Strong problem-solving, communication, and cross-functional collaboration skills. • Experience with LLMs, NLP, or generative AI applications. • Experience building end-to-end AI products or data-driven platforms. • Familiarity with real-time or streaming data pipelines. • Experience with cost optimization and performance tuning in Databricks. • Exposure to orchestration tools (Airflow, Dagster, etc.). • Experience mentoring or onboarding junior team members.

🏖️ Benefícios

• Competitive Salary • Remote Work Options with Hybrid Flexibility and Home Office Set-Up Stipend • Coworking Office Subscription for Collaborative Spaces • Health, Dental, and Life Insurance Coverage* • Open Vacation Policy and Flexible Holiday Schedule to Suit Your Needs • Paid Parental Leave to Support Quality Time with Your Loved Ones • Career Development, including Internal and External Training Opportunities