Artificial Intelligence Engineer

Resolve Tech Solutions; Irving (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Resolve Tech Solutions in Irving, TX is seeking an AI/ML Engineer to join a multi-disciplinary team. You will build and deploy AI/ML solutions that enhance customer experiences and drive store revenue.

The role spans from researching prototypes to delivering production-ready backends, requiring a hands-on approach and curiosity about the latest tech. The ideal candidate has 2+ years delivering ML/NLP solutions, with strong Python/Scala/C++ skills and experience with DL architectures and ML

Qualifications

• 2+ years of experience as a developer for high-tech products or services with ML/NLP/AI
• Degree in CS/Math would be valuable
• Bachelor’s or higher in CS/Engineering/Math or relevant experience

Responsibilities

• Build and deploy AI/ML solutions to improve customer experience and increase store revenue.
• Prototype, research and develop software solutions across retail.
• Stay up to date with emerging technology and learn new libraries/frameworks.
• Collaborate with data, product, and systems design teams.
• Deliver on time with high quality research, innovation and engineering.
• Take on multiple roles from experimental prototype to production backend.

Skills

Python

Scala

C++

TensorFlow

PyTorch

Caffe

Theano

Reinforcement Learning

Deep Learning

Computer Vision

LLMs

Vector Databases

Memory Models

Cloud ML

Docker

Kubernetes

Education

Bachelor's degree in Computer Science/Engineering/Math

MS in Computer Science

Tools

Docker

Kubernetes

Job description

Role : AL/ML Engineer Location : Irving, TX Onsite job Ideal Candidate Description You get excited reading about the latest advances in AI. You are intellectually curious and always pushing yourself to learn. Novel challenges drive you. Ambiguity is par for the course. You take pride in finding the simplest solution to complex problems. Doing the same thing every day would drive you crazy. You might not always know the answer off the top of your head, but you work hard to find the right solutions. Machine Learning Engineer You’ll be joining a multidisciplinary team of scientists, researchers, designers and engineers who research and innovate on latest technology to create awesome digital products that millions of people will experience every day. You will be responsible for building and deploying AI/ML solutions that improve customer experience, enable innovative user experiences, and increase store revenue. Engineers in the Enterprise AI team have solid technical background but enjoy learning new languages, technologies, and frameworks. From creating an experimental machine learning prototype to deploying a production-ready backend, engineers

Responsibilities

• You will be responsible for building and deploying AI/ML solutions that improve customer experience, enable innovative user experiences, and increase store revenue.
• From creating an experimental machine learning prototype to deploying a production-ready backend, engineers to take many hats to see projects to completion.
• Research, prototype, and develop software solutions to solve problems across retail
• Stay up to date with emerging technology and learn new technologies/libraries/frameworks
• Learn and partner with peers across multiple disciplines, such as data, product, and systems design
• Deliver on time with a high bar on quality of research, innovation and engineering

Qualifications

• 2+ years of experience as a developer for high-tech products or services and you have 2+ years of hands-on experience delivering products or solutions that utilized Machine learning, Natural Language processing, or other forms of AI solutions (Computer Vision/ Mathematical Optimization) OR an MS in Computer Science with some experience with Machine Learning.
• Knowledge acquired earning a degree in Computer Science or Math would be of great value in this position
• Bachelor’s Degree or higher in Computer Science/Engineering/Math, or relevant experience.

Required Skills

• Mathematical understanding of a variety of statistical learning algorithms (Reinforcement Learning, Supervised/Unsupervised, Graphical Models)
• Experience in a variety of Deep Learning architectures and models including Residual Networks, RNN/CNN, Transformer, and/or Transfer Learning in a production environment
• Proficiency in Python, Scala, or C++
• You are very fluent in one or more ML tools like Tensorflow, Pytorch, Caffe, and/or Theano
• Familiarity with some key concepts in Computer Vision
• 2+ years of experience with feature engineering and core statistical techniques.
• 2+ years of experience training, evaluating and deploying AI/ML models into production, specifically AI solutions that involve LLMs.
• 2+ years of experience building complex AI systems with Vector Databases, Memory etc.
• 2+ years of experience with productionizing and deploying ML workloads in the major cloud providers.
• Familiarity with containerized application tooling and deployments (Docker/Kubernetes)

Preferred Skills

• Experience with databases, API and backend development.
• Experience delivering production quality systems leveraging emerging technologies, including AI Assisted coding tools.