Engineer 2
4 days ago
Job Summary
Collaborates with data scientists, data engineers, and business teams to develop and deploy innovative machine learning solutions. Leverage strong technical expertise to independently develop and deploy impactful machine learning solutions.Job Description
Core Responsibilities
- Independently develop, and deploy high-quality machine learning solutions, meeting project deadlines and quality standards.
- Conduct in-depth data analysis and feature engineering.
- Develop and maintain robust and scalable machine learning pipelines using Python and industry-standard tools and libraries.
- Proficiently utilize PySpark for large-scale data processing on big data platforms.
- Collaborate effectively with cross-functional teams (data scientists, data engineers, business teams) to translate business requirements into successful ML solutions.
- Conduct rigorous model evaluation and performance monitoring.
- Stay abreast of the latest advancements in machine learning research and industry best practices.
- Document and communicate technical findings, project progress, and best practices effectively.
Technical Skill Sets:
- Strong proficiency in Python, Pyspark , Databricks, Big data technologies.
- Experience with cloud platforms like AWS, Azure, or GCP (for ML DevOps
- Proficiency in ML Libraries and ML Algorithms.
Soft Skills:
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills to effectively convey technical information
- Ability to work independently with minimal supervision, manage your time effectively, and prioritize tasks
Employees at all levels are expected to:
- Understand our Operating Principles; make them the guidelines for how you do your job.
- Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
- Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
- Win as a team - make big things happen by working together and being open to new ideas.
- Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
- Drive results and growth.
- Respect and promote inclusion & diversity.
- Do what's right for each other, our customers, investors and our communities.
Disclaimer:
- This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality—to help support you physically, financially and emotionally through the big milestones and in your everyday life.
Please visit the benefits summary on our careers site for more details.
Education
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.Certifications (if applicable)
Relevant Work Experience
2-5 YearsComcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.-
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