Machine Learning Engineer - 4

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Comcast brings together the best in media and technology. We drive innovation to create the worlds best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

JOB DESCRIPTION

Job Summary

Responsible for identifying complex problems and developing and deploying novel prototypes and algorithms to solve them. Improves accuracy and functionality of algorithms and understands the overall implications of the entire machine learning frameworks. Translates application requirements into problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Develops novel ways to solve problems and discover new products. Provide guidance and leadership to more junior researchers. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. May lead teams or projects and shares expertise.

Job Description

JOB DESCRIPTION:

Job Title

Machine Learning Engineer

Job Summary:

As part of the Comcast Cybersecurity team the Machine Learning Engineer will be responsible for researching, building, and designing ML systems to build and automate predictive models at enterprise level. Candidate should have the ability to rapidly grasp new technologies and abstractions and apply them in a meaningful way.

Responsibilities:

• Research, design, and implement ML algorithms and tools.
• Review and select appropriate data sets in a data warehouse.
• Select appropriate data representation and visualization methods.
• Identify and understand data distributions that affects model performance.
• Verify data quality with a small/large number of data samples.
• Transform and convert ML prototypes and models, e.g. change from SVM to Random Forest.
• Test and evaluate machine learning models and using results to improve them.
• Train and retrain systems when needed. Knowledge in active learning is a plus.
• Extending machine learning libraries if needed.
• Persist ML models for production environments.
• Identify technology issues, design resolutions, and proactive communication.
• Experienced in interpreting project requirements and technical specifications.

Minimum Requirements:

• Degree in computer science, math, statistics, or a related degree.
• At least 4 to 5 years relevant experience with building ML models and data pipelines.
• Advanced math and statistics skills, surrounding subjects such as linear algebra, calculus, and Bayesian statistics.
• Advanced skills in supervised and un-supervised ML models.
• Proficient in persisting ML models and deployment in production environment (operationalizing ML models).
• Data science certificates in machine learning, neural networks, deep learning, or related fields.
• Strong analytical, problem-solving and teamwork skills.
• At least 2 years of experience in any data engineering python frameworks like Pandas/Pyspark.
• Software engineering skills and strong experience in data science coding and programming languages, including Python, R, SQL, NoSQL
• Strong knowledge and experience working with Python-based ML libraries and packages such as NumPy, SciPy, Pandas, etc.
• Extensive experience in working with ML frameworks, e.g. scikit-learn and Keras.
• Experience working with data visualization, e.g. Matplotlib.
• Understand data structures, data modeling and software architecture.
• Experience with version control frameworks, GIT preferred.

Additional Skills:

• Extensive experience in working with advanced ML frameworks, e.g. TensorFlow, PyTorch, Spark ML, and Torch.
• Experience working with Databricks.
• Experience with cloud technologies and services such as AWS (EC2/API GATEWAY/S3), Azure etc.
• Experience in building client-server architectures and deploying ML models in such environments (ML API).
• Experience with C/C++/JavaScript.
• Experience with container technologies such as Docker.
• Experience in any analytical tools like Splunk/Kibana.
• Experience is additional visualization tools, e.g. , Seaborn, Plotly, pydot, Dash, etc.

Education

Bachelor's Degree

Relevant Work Experience

7-10 Years

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits. 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 compensation and benefits summary on our careers site for more details.