Ml Developer, Engineer, CNBC
CNBCEnglewood Cliffs, NJ
Full Time Job
The CNBC Digital Technology team is looking for an ML Engineer to work on organization-wide initiatives covering the content creation, enrichment using AI/ML, intelligence and distribution. This role requires proven expertise in designing and developing applications using various AI/ML closed and open source technologies, tools & frameworks.
The Engineer/Developer will be able to analyze the existing CNBC Application portfolio and define the path to adopt AI/ML architecture to achieve business goals and objectives. This Individual should be able to understand the organizational mission, goals, and drivers, confer with senior executives and synthesize the IT capabilities required to address business needs.
? BS degree or higher in Computer Science with a minimum of 5 years of relevant, broad engineering experience is preferred, but not required.
? Experience in design, deploy and maintain enterprise class applications within an AWS environment.
? Experience in governance procedures, policies and guidelines to ensure that project initiatives comply with the overall architecture direction.
? Experience in evaluating AI/ML vendors, products, cloud and emerging industry technology trends
? Ability to investigate the feasibility and data requirements necessary to develop an ML solution for a given problem.
? Ability to design, build and test production ready ML-based products while interpreting and explaining the basis for predictions generated by ML models.
? Knowledge and experience using one or more of the following, or similar, machine learning software frameworks: Spacy, CAFFE, PyTorch, Keras and Tensorflow
? Experience building production-ready NLP or information retrieval systems
? Hands-on experience with NLP tools, libraries and corpora (e.g. NLTK, Stanford CoreNLP, Wikipedia corpus, etc.)
? Strong experience working with multi-site development teams.
? Strong Communication skills (verbal and written) with an ability to work in a highly collaborative, multi-country/time zone environment.
? Good organizational skills with the ability to track and prioritize numerous tasks.
? Proactive personality with a proven track record of following through and delivering on responsibilities.
? Highly adaptive and capable of being an individual contributor and working as part of an extended team.