AI Specialist Solutions Architect

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.

With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.

Key Responsibilities:

Working with customers’ development and data science teams to deeply understand their business and technical needs. After understanding their needs, you will design solutions that make the best use of the AWS cloud platform and AWS AI/ML Services including Sage Maker, Amazon Comprehend, Amazon Rekognition, Amazon Transcribe, Amazon Lex, Amazon Polly, Amazon Forecast, Amazon Personalize, and the other AI/ML services.

Act as a technical liaison between customers and the AWS Sage Maker services team to provide customer driven product improvement feedback.

Basic Qualifications:

3+ years of experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions.

1+ years of experience with one or more Deep Learning frameworks such as Apache MXNet, Tensor Flow, Caffe2, Keras, Microsoft Cognitive Toolkit, Torch, and Theano.

5+ years professional experience in software development in languages related to ML like Python or R. Experience working with RESTful API and general service-oriented architectures.

3+ years of experience in technical architecture, design, deployment and operations for AI platforms, standards, protocols and devices."

Preferred Qualifications:

Graduate degree in a highly quantitative field (Computer Science, Machine Learning, Operations Research, Statistics, Mathematics, etc.).

5+ years of industry experience in predictive modeling and analysis.

Ability to develop experimental and analytical plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relationships.

Consulting experience and track record of helping customers with their AI needs.

Publications or presentations in recognized Machine Learning, Deep Learning and Data Mining journals/conferences.

Experience with AWS technologies like Sage Maker, Redshift, S3, EC2, Data Pipeline, Kinesis & EMR.

Knowledge of Spark

ML.

Able to write production level code, which is well-written and explainable.

Experience using ML libraries, such as scikit-learn, caret, mlr, mllib.

Experience working with GPUs to develop models.

Experience handling terabyte size datasets.

Track record of finding data to discover hidden patterns.

Experience in working with data visualization tools. Knowledge and experience of running SQL.

Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format.

Experience giving public presentations

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Collaboration is our superpower, diversity unites us, and excellence is our standard.

We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.