Machine Learning Engineer
: Job Details :

Are you looking to optimize your life? Start your exciting path to a rewarding career today!

We are Optimum, a leader in the fast-paced world of connectivity, and we're seeking enthusiastic professionals to join our team. Connectivity is now a necessity that empowers lives, fuels businesses, and drives innovation. A career at Optimum means enabling progress and enhancing lives by providing reliable, high-speed connectivity solutions that keep the world connected. We owe our success to our excellent products, our commitment to our people, and the connections we make in every community.

If you are resourceful, collaborative, team-oriented, and passionate about delivering excellence, Optimum is the company for you!

Job Summary

Universal Cable Holdings, Inc. is looking for a Machine Learning Engineer to identify data relations, patterns, and features that predict user behaviors, preferences, and interests. Use advanced analytics, including AI and ML, to design, prototype, and build solutions to business problems.

Responsibilities

• Lead stakeholder communication to develop use cases and manage expectations regarding model limitations and timelines.
• Execute projects from start to finish, including data collection, analysis, modeling, and deployment.
• Communicate insights to stakeholders to inform business decisions and strategic planning.

Qualifications

• Master's degree in Data Science, Computer Science, or related field.
• At least 2 years of experience with machine learning techniques such as classification, regression, clustering, NLP, and optimization.
• Experience with Bayesian inference, statistical methods, R or Python, SQL, cloud platforms (Google Compute Engine, EC2), and data warehouses (Oracle, BigQuery, AWS).

Location: Long Island City, NY. Salary: $170,001 - $180,001 per year. To apply, visit our careers page and search by job title or Job ID: 9787.

At Optimum, our core pillars are Ownership, Transparency, Community, and Expertise. We foster a culture of responsibility, open communication, collaboration, and continuous learning.

If you're driven and ready for a thrilling career, seize this opportunity and join our team to shape the future of connectivity.

Note: Job descriptions and requirements are subject to change based on business needs. We are an Equal Opportunity Employer, committed to diversity and inclusion.

We collect personal information for employment purposes, including background checks, and will never ask for money during the application process. For details, see our Fraud FAQ.

Pay is competitive and based on skills and experience. The posted salary range reflects the expected starting pay at the time of hire.

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