Note: The job is a remote job and is open to candidates in USA. Comcast is a Fortune 30 global media and technology company whose DataBee division provides SaaS and subscription-based cybersecurity solutions to large enterprises and the federal government. The Senior Applied AI Engineer will design, develop, and deploy advanced analytics, machine learning, generative AI, and data exploitation solutions for a cybersecurity platform, while serving as a technical leader and mentor within a distributed engineering team.
Responsibilities
- Interacts with product and field engineering teams to identify questions and issues for data analysis and experiments
- Leads development and coding of software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources
- Uses analytical rigor and statistical methods to analyze large amounts of data, extracting practical insights using sophisticated statistical techniques such as data analysis, data mining, optimization tools and machine learning techniques and statistics
- Leads development and execution of statistical and mathematical solutions to business problems to support larger initiatives
- Leads creation of data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets
- Leads the production of analysis of historical patterns in customer behaviors and product performance from large, noisy, and complex datasets. Leads development and deployment of predictive models based on historical data that provide future predictions about customer behavior
- Researches, educates and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions
- Crafts and is responsible for deliverables and presentations that report methodology and results of analysis
- Owns the development of customer centric models and optimization tools to support large scale projects that use streaming and at-rest processing over structured and unstructured data
- Understand platform usage and assist with production deployments and customer issue triage
- Develop security features as part of the development and adopt the DevSecOps culture
- Use and improve on tools to identify and mitigate production incidents
- Build re-usable software components or libraries that can be used by multiple teams, where needed
- Build self-contained microservices or application programming interfaces to support the business logic
- Use content management systems as applicable and global design patterns and defined coding standards and practices established by the team
- Consistent exercise of independent judgment and discretion in matters of significance
- Regular, consistent and punctual attendance. Must be flexible in schedule as vital
- Other duties and responsibilities as assigned
Skills
- Expertise in Python
- Experience developing and implementing microservices containing sophisticated analytical logic
- Demonstrated expertise in working with cybersecurity data sets and applying machine learning techniques to aid in security compliance and/or threat hunting
- Experience in parsing and cleansing data. Highly preferred if experienced in the application of machine learning to aid in data parsing and normalization
- Experience designing, developing, and deploying applications powered by Large Language Models (LLMs), including conversational AI, chatbots, and AI assistants
- Experience with Retrieval-Augmented Generation (RAG), semantic search, vector databases, embeddings, and prompt engineering
- Experience integrating foundation models (e.g., OpenAI, Anthropic, Gemini, or open-source LLMs) into production applications through APIs and orchestration frameworks
- Experience evaluating, fine-tuning, and optimizing LLM-based solutions, including model selection, prompt optimization, guardrails, and performance evaluation
- Understanding of AI governance, responsible AI practices, model monitoring, and security considerations for generative AI applications
- Experience building scalable AI/ML pipelines and deploying models using MLOps best practices
- Experience working in Agile Scrum development environments
- Experience working with GitHub and Jira or similar technologies
- Experience using Python unit test frameworks
- Experience using Docker and containerized application deployment
- Experience developing on a SaaS product
- Bachelor's DegreeWhile possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience
- 7-10 Years of relevant work experience
- Experience with distributed data processing technologies (e.g., Apache Spark, Apache Flink) is highly desirable
Benefits
- Most non-sales positions are eligible for a Bonus.
- Comcast provides best-in-class Benefits to eligible employees, including an array of options, expert guidance and always-on tools personalized to support employees physically, financially and emotionally.
- If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.
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