Senior Engineer Consultant-AI Science

Key Skills

Aartificial intelligence, Computer Vision (CV), Deep Learning, Design, Keras software library, Natural Language Processing (NLP), Python Programming, PyTorch, TensorFlow

Job Description

What you'll be doing…

As a Senior Engineer Consultant (Data Science) you will own and perform specific analytics tasks and lead and drive end to end solutions for AI/ML use cases with guidance from lead / manager.

• Building and deploying Statistical/Machine Learning/Deep Learning based models according to business requirements

• Contributing and driving model design including algorithm selection, feature requirements, model and use case validation

• Building and socializing best practices in model development, code maintenance and documentation

• Directing the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals.

• Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling.

• Performing tasks related to Operationalization - eg. wrapper script, REST service, Trigger, Monitoring etc.

• Preparing all the supporting documents and reports.

• Mentoring/Guiding one to two members in the team on technical aspects as needed.

What we’re looking for:

You have strong analytical skills, and are eager to work in a collaborative environment with global teams to drive ML application in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and multi-functional teams to implement data science driven business solutions.

You'll need to have:

• Bachelor's degree or four or more years of work experience.

• Four or more years of relevant work experience.

• Experience in multi-modal modeling, including experience with frameworks such as TensorFlow, PyTorch, or Keras.

• Proficiency in machine learning, deep learning, and statistical modeling techniques.

• Solid programming skills in Python or other relevant languages.

• Experience with natural language processing, computer vision, or audio processing is highly desirable.

• Familiarity with cognitive AI techniques, such as reasoning, knowledge graphs, or symbolic reasoning.

• Proven track record of designing and implementing successful multi-modal models and algorithms, demonstrated through publications, projects, or industry experience.

Even better if you have one or more of the following:

• Bachelor's/Master's/Ph.D. degree in Computer Science, Data Science, Machine Learning, or a related field.

• Experience working on cloud platforms like GCP

• Experience in building AI models for telecom businesses

• Strong problem-solving skills and ability to work on complex, open-ended research problems.

• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.

• Self-motivated, proactive, and able to manage multiple tasks and priorities in a fast-paced environment.

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.

Where you’ll be working

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.