As a Machine Learning Engineer in Computer Vision, you'll develop AI solutions using advanced algorithms, focusing on image classification, segmentation, and video processing tools.
Entefy’s vision is simplifying how people interact digitally. To make it happen, we’re seeking computer vision-aries. Our hyper-talented Product team is seeking a Machine Learning and AI expert with the skills to redefine how computers make sense of the visual world.
In this role you will utilize the latest techniques in artificial intelligence and computer vision, working on confidential projects that will impact Entefy’s suite of products. This is highly challenging work that will engage your deep understanding of algorithms to build never-before-seen machine intelligence.
Skills and Experience:
Not everyone takes the time to achieve excellence. Not everyone has the drive for one more try. Entefy is searching for the best because we’re building first-of-its-kind AI communication technology to make the world the best place it can be. If you’re creatively analytical, insatiably curious, fearless in tackling big problems, and can demonstrate excellence in computer vision, then you’ve earned yourself an interview with our team.
Requirements:
- Solid fundamentals in mathematics, statistics, and machine learning theory
- Minimum 3 years of commercial experience (or equivalent) in computer vision
- Demonstrable proficiency in at least one applicable programming language such as Python, C, C++, Java
- Proficient knowledge of and experience with image classification, segmentation, or captioning
- Proficiency in image/video processing and computer vision tools such as PIL/Pillow, GraphicsMagick, FFmpeg, OpenCV, SimpleCV, etc.
- Proficiency in machine learning tools such as TensorFlow, Keras, Caffe, Theano, MLLib, Torch, etc.
Other Qualifications
- Experience with modern deep learning techniques in CV including convolutional networks, residual networks, attentional models, etc.
- Strong written and verbal communication skills
- Advanced degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics
- Experience with parallel computing technologies such as OpenMP, CUDA, OpenACC, MPI
- Experience with big data and distributed computing technologies such as Hadoop, MapReduce, Spark, Storm, etc.
- Demonstrable proficiency in more than one applicable programming languages is a plus
Visit www.entefy.com and www.entefy.com/blog
Similar Jobs
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Lead end-to-end COGS and gross margin analysis for hardware and software products, model cost-saving scenarios, answer ambiguous executive questions, partner with data engineering/finance/product, build reliable datasets and analytical frameworks, and present recommendations to C-suite stakeholders.
Top Skills:
SQL
Automotive • Edtech • Kids + Family • Mobile • Social Impact • Transportation
Manage multi-state regulatory compliance and licensing for a transportation network company; lead legislative and policy engagement; oversee a small litigation portfolio including labor and civil claims; advise cross-functional teams on AI, data use, and contract/regulatory implications; draft filings, respond to investigations, and build AI-enabled compliance workflows.
Top Skills:
Ai ToolsAutomated Decision SystemsContract Automation ToolsRegulatory Tracking Systems
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Cybersecurity • Data Privacy
Support pre-sales as an Inside Sales Engineer for North East territories: design and present Rubrik hybrid cloud data management solutions, lead technical demos, qualify opportunities, advise customers and partners, and support account teams to meet regional revenue goals.
Top Skills:
Backup And Disaster RecoveryCloud Data ManagementData AnalyticsDistributed ArchitecturesFile SystemsHybrid CloudHyper-ConvergedRubrikSan
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus



