SumerSports

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🔥 Senior ML Platform Engineer

Posted 2024-11-07

🔍 Football intelligence technology

Strong expertise in Python and libraries for machine learning and data processing.
Extensive experience with Kubernetes, including deployments, scaling, and management of containerized applications.
In-depth knowledge of AWS services related to computing, storage, and machine learning.
Hands-on experience with building and deploying generative AI and statistical models.
Solid understanding of feature engineering, data preprocessing, and data integration techniques.
Familiarity with MLOps tools and best practices, including automation, monitoring, and orchestration.

Develop and maintain scalable and efficient machine learning pipelines capable of processing large volumes of data in real time.
Work independently to deploy, manage, and monitor machine learning models, ensuring high performance and reliability.
Collaborate with product engineering, data science, and ML teams to integrate advanced machine learning features into products.
Deploy and manage ML models using Kubernetes on AWS, ensuring high availability and low latency for real-time inference.
Implement continuous integration and delivery (CI/CD) processes for machine learning systems.
Optimize data and feature engineering processes to enhance model performance and reliability.
Monitor and evaluate model performance, making adjustments and improvements as needed.
Ensure compliance with data privacy and security protocols throughout the model lifecycle.
Contribute to strategic planning and development of ML projects.

Posted 2024-11-07

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🔥 Senior DevSecOps Engineer

Posted 2024-11-07

🔍 Football intelligence technology

Strong expertise in Python and libraries for machine learning and data processing.
Extensive experience with Kubernetes, including deployments and management of containerized applications.
Hands-on experience with AWS security solutions.
Extensive knowledge of security protocols, cryptography, and vulnerabilities.
Strong experience with automation tools and scripting languages like Python and Bash.
Proficient in using security tools such as OWASP ZAP and Fortify.
Deep understanding of secure coding practices and threat modeling.
Familiarity with regulatory compliance requirements like GDPR and HIPAA.
Experience with automation frameworks like Jenkins and GitLab CI.
Excellent collaboration and communication skills.

Develop, implement, and lead security strategies throughout the development lifecycle to enhance security posture.
Integrate security tools into CI/CD pipelines for efficient automated testing.
Continuously assess and mitigate security risks and manage vulnerability remediation.
Foster a security-first culture by leading training sessions.
Ensure compliance with legal and regulatory policies.
Develop and maintain security documentation.
Innovate security solutions to streamline processes.
Collaborate with cross-functional teams to maintain a unified security approach.
Conduct regular security assessments and respond to incidents effectively.

Posted 2024-11-07

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🔥 Data Scientist

Posted 2024-11-07

🔍 Football analytics

Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. Master’s or PhD is preferred.
3+ years of experience in data science, preferably in a sports analytics environment.
Proficiency in Python and experience with Databricks.
Strong knowledge of Spark for handling large datasets.
Familiarity with R is preferred.
Experience in productionizing machine learning or statistical models.
Highly motivated, self-starter with excellent problem-solving skills.
Ability to work independently and drive projects with minimal supervision.
Strong communication skills for conveying data insights to nontechnical stakeholders.
Passion for football and/or experience in the fantasy/betting market is highly desirable.

Build and implement analytical football models, providing valuable insights to enhance our football analytics offerings.
Conduct comprehensive data analysis to extract actionable insights.
Ensure seamless deployment of machine learning and statistical models using Python, Databricks, and Spark.
Handle large datasets efficiently using Spark and Databricks, ensuring data integrity and performance optimization.
Work closely with other data scientists, analysts, and stakeholders to understand their needs and deliver high-quality analytical solutions.
Identify and implement new tools, techniques, and best practices to enhance data analytics capabilities.

Posted 2024-11-07

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🔥 Senior Data Engineer

Posted 2024-10-21

🧭 Full-Time

🔍 Football intelligence technology

Proven experience as a data engineer, preferably with at least 3 or more years of relevant experience.
Some exposure to designing cloud native solutions and implementations with Kubernetes.
Experience with Airflow or similar pipeline orchestration tools.
Strong background in Python programming.
Experience collaborating with Data Science and Engineering teams in a production environment.
Firm grasp on SQL and knowledge of relational data modeling schemas.
Preference for experience with Databricks or Spark.
Familiarity with modern data stack design and opinions on data lifecycle management.
Effective communication skills and a passion for coaching in a team environment.
Experience with distributed systems, microservices architecture, and cloud platforms.

Develop and maintain data pipelines using Databricks, Airflow, or similar systems.
Write robust, maintainable code in Python, following best practices.
Design and implement modern solutions using Kubernetes for scalability.
Gather product data requirements and implement ingestion and processing solutions.
Collaborate with Data Science and Engineering teams to optimize applications.
Cultivate data from various sources and maintain data documentation.
Design a modern data stack for data scientists and ML engineers.
Participate in code reviews and provide mentorship within teams.
Enhance developer experience through improved tooling.
Stay updated on industry advancements and advocate for new technologies.

Posted 2024-10-21

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🔥 Sr/Staff Software Engineer

Posted 2024-10-21

🔍 Football intelligence technology

8+ years of commercial software development experience or 6 years with an advanced degree.
Strong proficiency in at least one of the following: React/Typescript, JavaScript, Java, C#, Python.
Proven experience in web application development, distributed systems, and cloud platforms (AWS/GCP/Azure).
Familiarity with Kubernetes, Terraform, Helm, Airflow, Docker, and CI/CD practices.
A background in designing and operating high-throughput, low-latency distributed systems.
Prior experience in sports analytics or working with sports clubs is highly advantageous.

Lead the design and development of complex product features from conception to deployment, focusing on impactful customer experiences.
Manage project priorities, deadlines, and deliverables with a high degree of autonomy.
Collaborate closely with cross-functional teams, including engineering, data science, platform and product management.
Contribute to the continuous improvement of data quality standards to ensure reliable insights.

Terraform

Posted 2024-10-21

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SumerSports

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