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.
Entefy’s Senior 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
- Proficient knowledge of and experience with AI systems
- Demonstrable expertise in multiple programming languages such as Python, C++, Java, etc.
- Masters or PhD in Computer Science, 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 databases
- Proficiency in Data Visualization tools
Visit www.entefy.com and www.entefy.com/blog
Top Skills
C++
Data Visualization
Java
Machine Learning
Python
SQL
Similar Jobs
Artificial Intelligence • Big Data • Computer Vision • Information Technology • Machine Learning • Analytics • Defense
As a Senior Machine Learning Engineer, you will develop machine learning models, automate data pipelines, and collaborate with teams to meet customer needs.
Top Skills:
AngularC++DockerGoGraphQLJavaKubernetesPythonPyTorchReactRestRustScalaScikit-LearnTensorFlowVue
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
As a Staff Machine Learning Engineer, you will set the technical direction for the Ad Ranking team, design and deploy machine learning solutions, and mentor engineers while driving large cross-team initiatives.
Top Skills:
Caffe2Deep LearningMachine LearningPyTorchScikit-LearnSpark MlTensorFlow
.png)
Retail
The Staff Machine Learning Engineer leads the development and deployment of machine learning systems, ensures quality, collaborates with teams, and mentors junior engineers.
Top Skills:
AutomlBigquerymlCi/CdCSSD3GitGoogle Cloud PlatformHTMLJavaScriptJupyter NotebooksLinuxNode.jsPandasPyTorchReactScikit-LearnScipySQLTensorFlowUnixVertex Ai
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
