Senior AI/ML Engineer

Intersources Inc.

Phoenix, AZ, United States

5 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

2 years minimum

Working hours

Regular working hours

Job source

www2.jobdiva.com

Tech stack

Testing (Software) Java (Programming Language) Computer-Aided Design Agile Methodology Artificial Intelligence Application Testing Code Review Continuous Delivery Continuous Integration DevOps Python (Programming Language) Natural Language Processing

+7 more

Tensorflow Azure Machine Learning Anaconda Reinforcement Learning Scripting Deep Learning Machine Learning Operations

Job description

Seeking a senior software engineer that can architect, design, develop and test applications using AI/Client, BERT, TensorFlow, Python, Deep Learning, NLP, Contextual Analysis and other related Client technologies., * Conduct hands on work implementing features and functions for AI/Client products

Partner with Chief Architect on designing existing and new products using AI/Client technology
Mentor less experienced staff on AI/Client concepts and engineering practices. This would include providing hands on/off training and code reviews.
Partner with Chief Architect on designing customer implementations of AI/Client products
Communicate with key stakeholders the architecture and design of AI/Client products
Provide regular updates to the Chief Technology officer on your workload
Work closely with Chief Product Officer’s team on understanding requirements and implementing product solutions using AI/Client technology
Work closely with the Chief Technology Officer and Chief Architect on defining and implementing a long-term technology roadmap that aligns with the Chief Product Officer’s product roadmap.

Requirements

2-8 years of experience developing and testing software products
2-8 years of experience architecting and designing software products
2-5 years of experience developing and testing AI/Client technologies using TensorFlow, Python and Anaconda
2-5 years of experience with scripting languages such as Python, C++, Java
2-5 years of experience with Continuous Integration/Continuous Deployment (CI/CD) including MLOps (Client Dev Ops)
2-5 years of experience using Agile methodology
Good written and oral communications
Experience working with clients to implement/deploy large scale applications

Desired Requirements :

Hands on experience developing AI/Client products
Hands on experience with large scale Deep Learning products
Hands on experience with building custom AI and reinforcement learning applications
3+ years of experience building large scale distributed applications
Exposure to Data Privacy and Synthetic Fraud products
Exposure to NLP and contextual analysis using Machine Learning tools