Job summary
Job post source
This job is directly from Granite Telecommunications
Job overview
The Data Engineer role at Granite Telecommunications involves developing and maintaining machine learning models and AI solutions on Google Cloud Platform to drive business growth.
Responsibilities and impact
The Data Engineer will design, develop, and implement predictive ML models, build and maintain data pipelines on GCP, prepare large datasets, integrate generative AI models, monitor ML model performance, collaborate with stakeholders, document work, and stay updated on AI/ML advancements.
Compensation and benefits
Granite offers a comprehensive benefits package including health, dental, vision, life, disability insurance, 401K with company match, childcare benefits, tuition assistance, and onsite gyms at no cost.
Experience and skills
Candidates need a bachelor's degree in a quantitative field, foundational ML knowledge, proficiency in Python and ML libraries, familiarity with cloud platforms especially GCP, SQL skills, strong analytical and communication skills.
Career development
Granite provides numerous growth opportunities in a fast-paced, progressive environment encouraging individual value and success.
Work environment and culture
Granite values individual growth, diversity, and philanthropy, with a healthy work environment recognized for wellness and inclusivity.
Company information
Granite Telecommunications is a leading communications provider in the US and Canada with over $1.85 billion revenue, 2,100 employees, and a strong reputation for growth, diversity, and philanthropy.
Team overview
The candidate will join the growing AI/ML team working collaboratively with data scientists, engineers, and other stakeholders.
Job location and travel
The company is headquartered in Quincy, MA, with onsite facilities including gyms; remote work options are not specified.
Unique job features
The role offers the chance to work with cutting-edge AI technologies like Google Gemini and GCP services in a supportive, innovative environment.
Company overview
Granite Telecommunications is a leading provider of communications services, specializing in delivering voice, data, and other related solutions to multi-location businesses and governmental agencies. They generate revenue by offering a comprehensive suite of services, including local and long-distance phone services, broadband internet, and managed network solutions, often through long-term contracts. Founded in 2002, Granite has grown rapidly, known for its exceptional customer service and reliability, and has established itself as a major player in the telecommunications industry.
How to land this job
Tailor your resume to highlight your foundational knowledge of machine learning concepts, including algorithms like regression, classification, and clustering, as well as your proficiency in Python and its ML libraries such as scikit-learn, TensorFlow, and PyTorch.
Emphasize experience or familiarity with Google Cloud Platform services, especially Dataflow, Cloud Composer, Vertex AI Pipelines, BigQuery, and Cloud Storage, as these are key to the role's data and ML pipeline responsibilities.
Apply through multiple channels including Granite Telecommunications' official careers page and LinkedIn to increase your chances of visibility and consideration for the Data Engineer role.
Connect with current employees in the AI/ML or data engineering teams at Granite Telecommunications on LinkedIn; open conversations by referencing their work on AI projects or asking about the integration of generative AI models like Google Gemini within the company.
Optimize your resume for ATS by incorporating keywords from the job description such as 'machine learning,' 'GCP,' 'Python,' 'data pipelines,' 'BigQuery,' and 'model deployment' to ensure your resume passes automated screenings effectively.
Utilize Jennie Johnson's Power Apply feature to automate tailored applications across multiple sites and identify LinkedIn contacts for networking, allowing you to focus more on preparing for interviews and skill development.
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