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Senior / Principal Software Engineer

Posted 7 days agoViewed

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💎 Seniority level: Senior, 5 years

📍 Location: Slovakia, Estonia, France

🔍 Industry: Software Development

🏢 Company: Blackbird.AI👥 51-100💰 10 months agoArtificial Intelligence (AI)SecurityMachine LearningEnterprise SoftwareIntrusion Detection

🗣️ Languages: English

⏳ Experience: 5 years

Requirements:
  • Bachelor's degree in Computer Science or a related field.
  • Minimum of 5 years of experience in data engineering and building data platforms.
  • Minimum of 2 years of professional experience in Machine Learning or a closely related field, demonstrating a track record of successfully delivering novel research and/or product offerings.
  • Demonstrated success in deploying cloud and SaaS model products, with expertise in building optimized processing pipelines for streaming analytics applications.
  • Proficiency in databases and query optimization (PostgresSQL, ElasticSearch, MongoDB, Redis, Druid), including experience with NoSQL and graph databases.
  • Experience in horizontally scaling databases.
  • Expertise in Kafka and Airflow, with a strong understanding of runtime profiling tools.
  • Experience in big data processing systems similar to Apache Spark, Flink, Beam or similar.
  • Strong skills in build automation, continuous integration, and deployment (CI/CD) tools.
  • Expert-level Python coding skills.
  • Project management skills and the ability to lead development initiatives.
Responsibilities:
  • Design and implement real time distributed data processing systems analyzing public data and detecting emergent threats.
  • Focus on research and development in information extraction, multilingual NLP, automated summarization, graph network analysis, Computer visions, and LLMs (Large Language Models).
  • Oversee the gathering and annotating of large custom datasets for tasks like text or vision classification, unsupervised pre-training, translation, tagging, and related challenges.
  • Apply your knowledge of machine learning performance evaluation techniques, recognizing failure modes and limitations in the process.
  • Lead and manage the development and optimization of ETL processes for various data formats from social media, news, and web sources.
  • Design and implement robust database systems and develop tools for query and analytic processing, focusing on real-time streaming applications.
  • Conduct performance analysis and empirical studies, making strategic decisions on tradeoffs (e.g., cost vs. throughput/latency).
  • Develop, manage, and oversee the database architecture for our real-time streaming cloud-hosted analytics platform.
  • Spearhead build automation, continuous integration, deployment, and performance optimization efforts, upholding our strict security requirements.
  • Drive the project management, leading the development of new features and capabilities.
  • Design test suites and implement inline instrumentation to ensure data correctness.
  • Design secure and scalable REST APIs.
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