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 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 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
Fintech • Software • Financial Services
The Senior Machine Learning Engineer will develop ML infrastructure, deploy ML models, monitor performance, and mentor junior engineers. Collaboration with cross-functional teams is essential.
Top Skills:
AWSDockerGCPKubernetesPythonPyTorchRubyTensorFlow
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The Senior Machine Learning Engineer will develop scalable and resilient systems to optimize ML models, improve workflows, and apply best engineering practices for large datasets.
Top Skills:
AirflowAWSDockerGCPHuggingfaceJenkinsKubernetesMlflowPandasPythonPyTorchRayScikit-LearnSparkTensorFlowTerraformXgboost
Artificial Intelligence • Software
The role involves deploying and maintaining ML models, developing automation pipelines, collaborating with teams, and contributing to architectural decisions.
Top Skills:
AWSAzureCi/CdDockerGCPKubernetesNlpPython
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
