Astro Sirens LLC

Data Scientist

• Design, develop, and deploy machine learning models for real-world production use cases
• Analyze large and complex datasets to extract insights that inform model development and optimization
• Build end-to-end ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment
• Collaborate with data engineers, software engineers, product managers, and business stakeholders to define machine learning requirements
• Implement model monitoring, performance tracking, and retraining strategies
• Optimize models for scalability, performance, and reliability in cloud-based environments
• Ensure data quality, reproducibility, and adherence to best practices in ML development
• Translate machine learning outcomes into clear, actionable insights for technical and non-technical audiences
• Contribute to improving ML standards, tools, and best practices across teams
• Mentor junior data scientists and machine learning engineers

Senior Data Scientist / Machine Learning Engineer

Machine Learning Engineer

• Design, develop, and deploy machine learning and artificial intelligence solutions that drive product innovation and business impact
• Work closely with engineering, data, product, and business teams to build scalable models, production-grade ML systems, and intelligent applications
• Handle the full machine learning lifecycle, from data preparation and feature engineering to model training, deployment, monitoring, and continuous improvement
• Combine strong technical depth with practical problem-solving skills and collaborate effectively with both technical and non-technical stakeholders in a remote environment aligned with U.S. time zones

AI/ML Engineer

Backend Engineer

• Design, build, and maintain scalable enterprise applications and backend services
• Work closely with product, engineering, and cross-functional stakeholders
• Deliver secure, high-quality, and maintainable software solutions
• Develop robust microservices and scalable APIs
• Optimize system performance and contribute to architecture and technical design decisions

Senior Java Developer

• Lead the development of advanced analytics and machine learning solutions
• Transform complex data into actionable insights
• Build predictive models and deliver scalable data science solutions
• Collaborate with cross-functional stakeholders across product, engineering, and business teams

Senior Data Scientist

Senior Machine Learning Engineer

Business Intelligence Developer

• Design and implement business intelligence (BI) solutions that translate complex data into actionable insights for various business units.
• Develop and maintain interactive dashboards and reports using BI tools like Power BI, Tableau, or similar to provide real-time business visibility.
• Collaborate with data scientists, engineers, and business stakeholders to define data requirements and deliver effective BI solutions.
• Extract, clean, and transform large datasets from various sources to enable accurate and insightful reporting.
• Analyze data using statistical techniques and machine learning models to uncover trends, patterns, and predictive insights.
• Work with cloud platforms such as AWS (e.g., Redshift, S3) and Azure (e.g., Synapse, Azure Data Lake) to manage and optimize data storage.
• Leverage Python libraries (e.g., Pandas, NumPy, scikit-learn) for data manipulation, analysis, and advanced reporting.
• Build and optimize ETL/ELT processes to move data efficiently into data warehouses or BI tools.
• Ensure data integrity by automating data validation processes and improving data quality.
• Create custom reports and automated dashboards with Excel, leveraging advanced Excel functions such as pivot tables, vLOOKUP, and Power Query for business analysis.
• Provide ad-hoc reporting and data analysis as requested by business teams to support decision-making.
• Work with containerization technologies like Docker and orchestration tools like Kubernetes to streamline deployment and scaling of data systems.
• Collaborate across teams to ensure that the BI and analytics processes meet business objectives and compliance standards.

Senior Data Analyst / BI Developer

• Design, develop, and maintain scalable, secure applications using Go/Golang, JavaScript, and modern frontend technologies.
• Build and maintain cloud-based infrastructure on AWS and Azure for scalable, high-performance systems.
• Develop and implement RESTful APIs to integrate frontend and backend systems seamlessly.
• Collaborate with product and design teams to deliver high-quality software solutions, maintaining excellent communication throughout the process.
• Utilize Docker and Kubernetes to containerize applications, streamline deployment, and ensure smooth CI/CD pipelines.
• Troubleshoot, debug, and optimize applications for performance, scalability, and reliability.
• Write efficient, maintainable, and testable code while following best practices in Go/Golang and JavaScript.
• Participate in code reviews to ensure adherence to coding standards, quality, and maintainability.
• Implement and manage CI/CD pipelines using AWS and Azure services for efficient and automated deployments.
• Ensure security and data protection across applications and services in cloud environments.
• Stay up-to-date with the latest technologies and industry trends to continuously enhance development practices and tools.

Senior Full Stack Engineer, Golang

• Design, develop, and maintain scalable and secure applications using Java for backend services, with strong emphasis on frameworks like Spring Boot, Spring Cloud, and Hibernate.
• Build and maintain cloud-based infrastructure using AWS (EC2, S3, Lambda, RDS) and Azure (Azure Functions, Azure SQL Database, App Services) to ensure high performance and scalability.
• Develop and implement RESTful APIs and GraphQL for seamless integration between frontend and backend systems.
• Work with Java-based tools and libraries such as Apache Kafka, ActiveMQ, RabbitMQ, and JMS for messaging and event-driven architecture.
• Collaborate with product and design teams to deliver high-quality, user-friendly software solutions.
• Utilize Docker and Kubernetes for containerization, ensuring smooth deployments, scalability, and easy management of microservices.
• Troubleshoot, debug, and optimize applications for performance, scalability, and reliability using tools like JProfiler, New Relic, or Prometheus.
• Write clean, efficient, maintainable, and testable code following Java best practices and patterns.
• Participate in code reviews to ensure adherence to coding standards, quality, and maintainability.
• Implement and manage CI/CD pipelines using tools like Jenkins, GitLab CI, CircleCI, and cloud services like AWS CodePipeline and Azure DevOps.
• Ensure security and data protection across applications and services, utilizing tools like OWASP ZAP, Spring Security, and JWT for secure communication.
• Stay up-to-date with the latest Java technologies, frameworks, and industry trends to continuously enhance development practices.