Vertical Relevance
Join to apply for the
ML Cloud Consultant
role at
Vertical Relevance . 2 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Summary
Vertical Relevance is looking for an AWS Machine Learning Consultant to join our team as a full‑time employee in our New York or New Jersey office or work remotely. This person will be responsible for end‑to‑end planning, building, and deploying of software systems and will drive the programming of well‑constructed, testable code. As an AWS Machine Learning Consultant, you will implement technical solutions as part of a team for customer engagements. The role requires strong teamwork, communication, patience, and organization skills to drive customer success. At Vertical Relevance we deliver with excellence through teamwork, automating everything, constantly learning and taking ownership for the outcomes our customers experience. Are you ready to join the team? Responsibilities
Enable customers to solve complex data science problems – including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption Consult, plan, design, and implement ML/AI solutions using AWS ML Services
Assist customers by delivering a ML project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept‑drift monitoring and retraining to deliver business impact to the organization Use AWS AI services, ML platforms, and frameworks to help our customers build ML models Work with our other consultants (Big Data, IoT, HPC) to analyze, extract, normalize, and label relevant data, and with our engineers to operationalize customers’ models after they are prototyped Become a deep technical resource that earns our customer's trust Develop high‑quality technical content such as automation tools, reference architectures, and white papers to help our customers build on the cloud Innovate on behalf of customers and translate your thoughts into action yielding measurable results
Support solution development by conveying customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend expansion of capabilities through enhanced and new offerings.
Assist with technical briefs that document solutions Assist with reference architecture implementations
Support internal and external brand development through thought leadership:
Work with Marketing/Alliances to write blog posts Work with Marketing/Alliances to develop internal case studies
Qualifications
Hands‑on experience building and implementing machine learning or AI models in AWS Experience in software/technology customer‑facing experience PhD in Computer Science, Statistics, Machine Learning, Data Science, Electrical Engineering You must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Relevant Technical Tools
Primary Languages – Python, R Tooling, Services & Libraries – Hadoop, TensorFlow, Spark, Keras, MxNet, PyTorch, Jupyter Notebooks Techniques – Recurrent Neural Networks, Reinforcement Learning, Transformers Relevant AWS Services
AWS Infrastructure Scripting – CloudFormation AWS Storage Services – S3 AWS Compute Services – Lambda AWS Networking Services – VPC AWS Analytics Services – Glue, EMR AWS Security, Identity, Compliance Services – IAM AWS Application Integration Services – Step Functions AWS Machine Learning Services – SageMaker, Deep Learning AMI, Deep Learning Container The Company
Vertical Relevance was founded to help business leaders drive value through the design and delivery of effective transformation programs across people, processes, and systems. Our mission is to help firms at any stage of their journey develop custom solutions for success and growth. We provide a full range of services from strategy and design through to implementation and training. Our collective industry expertise is our greatest asset - our professionals have an average of 20+ years’ experience within Financial Services, across Wealth Management, Asset Management, Insurance, and Banking. Within our Customer Experience practice, we add complementary industry expertise (technology and media) synergizing the most relevant and successful customer trends. We focus wholly on your success by first rigorously assessing your business and technology challenges, and then right‑sizing solutions that provide a meaningful ROI. With our industry experts hitting the ground running and focusing on nimble, quality delivery, we can see rapid, tangible improvements with our clients in productivity and effectiveness. When it makes sense for your company, we leverage our product partnerships in the areas of CRM, Sales Acceleration, Predictive Analytics, Digital Knowledge Management, and Cloud Transformation. Vertical Relevance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
#J-18808-Ljbffr
ML Cloud Consultant
role at
Vertical Relevance . 2 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Summary
Vertical Relevance is looking for an AWS Machine Learning Consultant to join our team as a full‑time employee in our New York or New Jersey office or work remotely. This person will be responsible for end‑to‑end planning, building, and deploying of software systems and will drive the programming of well‑constructed, testable code. As an AWS Machine Learning Consultant, you will implement technical solutions as part of a team for customer engagements. The role requires strong teamwork, communication, patience, and organization skills to drive customer success. At Vertical Relevance we deliver with excellence through teamwork, automating everything, constantly learning and taking ownership for the outcomes our customers experience. Are you ready to join the team? Responsibilities
Enable customers to solve complex data science problems – including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption Consult, plan, design, and implement ML/AI solutions using AWS ML Services
Assist customers by delivering a ML project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept‑drift monitoring and retraining to deliver business impact to the organization Use AWS AI services, ML platforms, and frameworks to help our customers build ML models Work with our other consultants (Big Data, IoT, HPC) to analyze, extract, normalize, and label relevant data, and with our engineers to operationalize customers’ models after they are prototyped Become a deep technical resource that earns our customer's trust Develop high‑quality technical content such as automation tools, reference architectures, and white papers to help our customers build on the cloud Innovate on behalf of customers and translate your thoughts into action yielding measurable results
Support solution development by conveying customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend expansion of capabilities through enhanced and new offerings.
Assist with technical briefs that document solutions Assist with reference architecture implementations
Support internal and external brand development through thought leadership:
Work with Marketing/Alliances to write blog posts Work with Marketing/Alliances to develop internal case studies
Qualifications
Hands‑on experience building and implementing machine learning or AI models in AWS Experience in software/technology customer‑facing experience PhD in Computer Science, Statistics, Machine Learning, Data Science, Electrical Engineering You must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Relevant Technical Tools
Primary Languages – Python, R Tooling, Services & Libraries – Hadoop, TensorFlow, Spark, Keras, MxNet, PyTorch, Jupyter Notebooks Techniques – Recurrent Neural Networks, Reinforcement Learning, Transformers Relevant AWS Services
AWS Infrastructure Scripting – CloudFormation AWS Storage Services – S3 AWS Compute Services – Lambda AWS Networking Services – VPC AWS Analytics Services – Glue, EMR AWS Security, Identity, Compliance Services – IAM AWS Application Integration Services – Step Functions AWS Machine Learning Services – SageMaker, Deep Learning AMI, Deep Learning Container The Company
Vertical Relevance was founded to help business leaders drive value through the design and delivery of effective transformation programs across people, processes, and systems. Our mission is to help firms at any stage of their journey develop custom solutions for success and growth. We provide a full range of services from strategy and design through to implementation and training. Our collective industry expertise is our greatest asset - our professionals have an average of 20+ years’ experience within Financial Services, across Wealth Management, Asset Management, Insurance, and Banking. Within our Customer Experience practice, we add complementary industry expertise (technology and media) synergizing the most relevant and successful customer trends. We focus wholly on your success by first rigorously assessing your business and technology challenges, and then right‑sizing solutions that provide a meaningful ROI. With our industry experts hitting the ground running and focusing on nimble, quality delivery, we can see rapid, tangible improvements with our clients in productivity and effectiveness. When it makes sense for your company, we leverage our product partnerships in the areas of CRM, Sales Acceleration, Predictive Analytics, Digital Knowledge Management, and Cloud Transformation. Vertical Relevance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
#J-18808-Ljbffr