Engineer 3 - Machine Learning

Job Description

. Responsible for developing and deploying machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms. Translates application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Develops novel ways to use machine learning to solve problems and discover new products. Has in-depth experience, knowledge and skills in own discipline. Usually determines own work priorities. Acts as resource for colleagues with less experience. Job Description Overview: Our team aims to expand and enhance the monitoring and understanding of our streaming quality and customers experience by leveraging data, analytics solutions, and industry-standard practices. We're seeking a talented Machine Learning Engineer to join our dynamic team and help drive our AI initiatives forward. Responsibilities: Design, develop, and implement machine learning models that solve complex business problems, from data ingestion to model deployment Containerize ML applications and deploy them using Kubernetes Develop and maintain data workflows using Airflow Work with cloud platforms (GCP, AWS, Azure) to build scalable ML infrastructure Collaborate with cross-functional teams to build scalable, production-ready machine learning systems Optimize model performance and infrastructure costs Collaborate with cross-functional teams to identify ML opportunities and implement solutions Monitor model performance and implement CI/CD for ML systems Analyze large datasets, identify patterns, and use statistical models to make predictions Continuously monitor and evaluate the performance of machine learning models and make improvements where necessary Stay up to date with the latest developments in AI, LLMs, Machine Learning and Data Science Communicate findings and insights to stakeholders, both technical and non-technical Required skills and experience: Kubernetes : Strong experience with pod management, deployments, scaling, and Helm charts Airflow : Proficiency creating DAGs, implementing PythonOperators, scheduling jobs, and managing task dependencies Cloud Platforms : GCP: BigQuery, Cloud Storage AWS: S3, EC2 Azure: Blob Storage Python : Advanced knowledge of core Python, Pandas, NumPy, automation scripts, and API interactions Machine Learning : Experience with Scikit-learn, TensorFlow, data preprocessing techniques, and model deployment Preferred Qualifications: Bachelor s or Master s degree in computer science, Data Science, or a related field 3+ years of experience in ML engineering or similar roles Experience with MLOps tools and practices Strong problem-solving and critical thinking skills Excellent communication and collaboration skills 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 Degree While 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 5-7 Years