Computer Vision Engineer

TEKsystems
$65.00 - $75.00 / hr
life insurance, sick time, 401(k), retirement plan
United States, Arkansas, Bentonville
Dec 28, 2024
Top Skills' Details 1. 3+ years of computer vision experience after graduating from their masters program 2. 3+ years of experience building CV/ML based models in a professional environment 3. Camera monitoring, Camera and Sensor testing, image recognition 4. 3+ years of Python Development 5. Object recognition/detection 6. Azure or GCP experience 7. NVIDIA and MLOps are nice to haves Description Computer Vision Engineers in the Technology division specialize in applying computer vision, machine learning and artificial intelligence to solve problems across Merchandising, Marketing, Club Operations, Finance, eCommerce, and Security. You will have the opportunity to work with a high caliber team from a variety of disciplines to build new software and radically change our business. Engineers work as part of an Experience Team to develop and deploy advanced algorithms at scale. You will support and enable the entire project lifecycle including problem discovery with business clients, algorithmic design, coding, validation, deployment, testing, and monitoring. Engineers adhere to agile software development standards through rapid prototyping, iterative development, and incremental deployment of capabilities. Development is performed in Sprints and Data Scientists are held accountable to engineering excellence standards. Key Responsibilities * Performs research and applies new techniques and concepts to solve problems * Understands and translates business and functional needs into AI/ML/CV problem statements * Develops custom ML/CV models to drive innovative business solutions * Manages and integrates complex data sets from multiple, disparate data sources * Writes complex queries and extracts data to build robust data pipelines * Collaborates with Engineering teams to integrate algorithms into tools, processes, and interfaces * Performs exploratory data analysis and develops models to identify trends and opportunities * Builds and deploys reusable services and utilities that can be leveraged by a wide range of applications * Applies innovative and scientific approaches to augment and automate business decisions Skills * Proficiency in machine learning algorithms such as multi-class classifications, decision trees, support vector machines, deep learning, and anomaly detection * Strong understanding of probability and statistical models (generative and descriptive models) * Ability to run experiments scientifically and analyze results * Ability to effectively communicate technical concepts and results to business audiences in a comprehensive manner * Ability to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management and operations Must Haves * 3+ years' experience in building ML/CV based models in a professional environment * Experience with productionizing Machine Learning solutions in cloud environment * Strong background in Statistics and Operational Research * Familiarity with Deep Learning and computer vision algorithms * Proficiency in coding (Python) Preferred Qualifications Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, using open-source frameworks (e.g., Scikit learn, TensorFlow, Torch) We're virtual Working virtually this year has helped us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting. Today, we are reimagining the tech workplace of the future by making a permanent transition to virtual work for most of our team. Of course, being together in person is an important part of our culture and shared success. We'll collaborate in person at a regular cadence and with purpose. Skills Python, Data science, Sql, Predictive modelling, Predictive analytics, Data analysis, Computer vision, Artificial intelligence, Software development, camera, azure, gcp, Machine learning Top Skills Details Python, Data science, Sql ,Predictive modelling, Predictive analytics, Data analysis ,Computer vision, Artificial intelligence, Software development, camera Additional Skills & Qualifications Can sit remote but needs to work CST hours. Must have Camera monitoring experience Must take this hacker rank before consideration for an interview Experience Level Expert Level Pay and Benefits The pay range for this position is $65.00 - $75.00 Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: * Medical, dental & vision * Critical Illness, Accident, and Hospital * 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available * Life Insurance (Voluntary Life & AD&D for the employee and dependents) * Short and long-term disability * Health Spending Account (HSA) * Transportation benefits * Employee Assistance Program * Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. Application Deadline This position will be accepting applications until Jan 10, 2025. About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.