The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.
Entefy’s Machine Learning Engineer is a highly visible position internally and externally. This is where your deep experience and great insights intersect with an amazing opportunity to shape the future of communication and digital interaction.
Skills and Experience:
We’re not looking for “good.” Entefy is on a mission for best. The success of this mission depends on its team members to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges.
Requirements
- 5+ years of experience in Machine Learning tools and algorithms specially in unstructured data classification and clustering.
- Demonstrable expertise in MATLAB.
- Proficient knowledge of and experience with AI systems.
- Demonstrable expertise in multiple programming languages such as Python, C++, Java, etc.
- Fluency in English and, at least, 1 other language.
- Masters or PhD in Computer Science in Machine Learning or related field preferred.
- Proficiency in Machine Learning open source tools.
- Proficiency in Machine Translation.
- Proficiency in Social Text Mining.
- Proficiency in SQL and non-SQL database.
- Proficiency in Data Visualization tools.
Visit www.entefy.com and www.entefy.com/blog
Top Skills
Ai Systems
C++
Data Visualization Tools
Java
Machine Learning
Matlab
Python
SQL
Similar Jobs
Artificial Intelligence • Big Data • Internet of Things • Software
The Senior Machine Learning Engineer will utilize deep experience and insights to enhance communication and digital interactions through advanced machine learning tools and algorithms, focusing on unstructured data.
Top Skills:
C++Data VisualizationJavaMachine LearningPythonSQL
Artificial Intelligence • Big Data • Internet of Things • Software
The ML Engineer will leverage deep learning for natural language processing tasks, impacting Entefy's products while requiring strong machine learning fundamentals and NLP expertise.
Top Skills:
CC++CaffeCorenlpGateGensimHadoopJavaKerasMapreduceMllibNltkOpennlpPythonSpacySparkStormTensorFlowTheanoTorchUima
Artificial Intelligence • Big Data • Internet of Things • Software
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.
Top Skills:
CC++CaffeFfmpegGraphicsmagickJavaKerasMllibOpencvPil/PillowPythonSimplecvTensorFlowTheanoTorch
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
