Machine Learning (ML) & Python Engineer (DC)

Key Skills

Apache Airflow, Apache Hadoop, AWS, Django, Docker, Flask, Kubernetes-K8s, Machine learning techniques, Python Programming, PyTorch, Scikit-learn, SPARK Programming, SQL, TensorFlow

Job Description

What We Do

• Innovative Solutions: We co-develop cutting-edge solutions with our clients to address tough communication problems and capitalize on opportunities to make a tangible impact.
• Data-Driven Insights: Our tools and methodologies provide actionable insights that help clients meet their communication objectives and stay ahead of global challenges.
• Applied Expertise: We integrate our solutions within client organizations, leveraging our profound expertise to address critical issues and ensure sustainable success.

Be Part of Something Bigger

At Protagonist, you’ll work on compelling projects that make a real difference. We seek talented individuals eager to contribute to our mission and grow alongside us. If you’re passionate about communication, data analysis, and making an impact, we invite you to explore a career with Protagonist.

Explore Your Future with Us!

Ready to take the next step in your career? Join us at Protagonist and be part of a team that's making a difference.

About You

You are a self-starter Machine Learning and Python Engineer with expertise in machine learning, big data analytics, AWS cloud services, and Web Applications. Your proficiency extends to building and executing sophisticated data processing systems and analytical solutions. With a forward-thinking approach, you excel in harnessing the full potential of cutting-edge cloud services and ML to propel business intelligence and foster technological innovation.

Primary Responsibilities

Support the development of Machine Learning and Cloud technology that powers our Narrative Analytics® offering. This includes web application development, performing AWS maintenance, writing Python scripts, and coding new tools, and machine learning algorithms to refine data analysis processes. Specific responsibilities include:

• Design and development of Python web applications, ensuring robust, scalable, and maintainable codebase.
• Work closely with data scientists and analysts to transform data science prototypes into scalable and efficient production-quality solutions.
• Design and implement data architectures on AWS, using best practices for security, scalability, and efficiency.
• Take initiative in solving complex technical problems and recommend original solutions and design approaches to meet requirements, making decisions between competing solutions.
• Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Nvidia Triton).
• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes) for deploying and managing applications in the cloud.
• Work in sprints to create, design, and develop modules in coordination with the rest of the Engineering Team.

Requirements

• Must be able to work on US Government contracts that may prohibit or restrict the use of foreign nationals.
• Must be eligible to obtain a US Government security clearance.
• BS or MS in Computer Science, Engineering, or a related field.
• Experience working on a production product with a collaborative team.
• Python Scripting, Django or Flask
• Experience with Postgres (or similar) SQL database programming.
• Experience working with Agile scrum or Kanban methodology to deliver high-quality, high value software
• Strong experience with AWS cloud services; AWS Certified Solutions Architect or Developer is preferred.
• Proficiency in big data technologies (e.g., Hadoop, Spark, Airflow).

Position Pay Band

$80,000 - $185,000 based on education and level of relevant experience.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.