Senior AI Engineer

🕒 vor 2 Monaten

🇺🇸 Vereinigte Staaten – Remote

💵 $120.000 - $170.000 / Jahr

⏰ Vollzeit

🟠 Senior

🤖 KI-Ingenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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Traackr

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

☁️ SaaS

SaaS • Marketing

Traackr ist eine Influencer-Marketing-Softwareplattform, die für datengetriebene Marketer konzipiert wurde. Die Plattform vereinfacht das Influencer-Marketing, indem sie Werkzeuge für die Entdeckung, das Kampagnenmanagement, die Zusammenarbeit mit Influencern und das Reporting bereitstellt. Traackr konzentriert sich darauf, den Nutzern zu helfen, intelligentere Investitionen zu tätigen, indem es umfassende globale Influencer-Daten, Markt-Benchmarking und fachkundige Beratung bietet. Die Plattform dient sowohl kleinen Teams als auch komplexen Programmen und wird von führenden Marken genutzt, um Strategien zu optimieren und die Rendite zu messen.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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