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Data Scientist, Massachusetts Licensed - Remote
Key Responsibilities: Design and develop production-ready AI/ML solutions to accelerate customer adoption Lead implementation of AI/ML workflows using Python and modern tooling Establish engineering best practices and collaborate with cross-functional
Senior ML Engineer, Robotics - Remote
related field 5+ years of experience in applied machine learning, computer vision, or Company perception Strong background in deep learning frameworks (PyTorch, TensorFlow, JAX) Experience deploying ML models on edge/embedded hardware Solid software engineering...skills in Python and C++ for ML system integration
Senior Software Engineer - Remote
in a relevant technical field with 5+ years of engineering experience Strong skills in UI development with proficiency in Angular, TypeScript, JavaScript, HTML, and CSS/SCSS Experience with backend/API development in C#, .NET, and familiarity with Python...and Golang Knowledge of engineering best practices including coding standards and testing Familiarity with cloud infrastructure and DevOps practices
Senior AI Engineer - Remote
A company is looking for a Senior AI Engineer (IT Python and AI programming -SME)....Key Responsibilities Design and develop scalable AI/ML solutions using Python and frameworks Perform data engineering tasks, including acquisition, cleaning, and transformation Deploy cloud-based AI applications using containerization tools Required
Senior Python Fullstack Engineer - Remote
A company is looking for a Senior Python Fullstack Engineer to join their dynamic team.
Senior Data Engineer - Remote
Qualifications: 10+ years of experience in data engineering, architecture, and data science Proven expertise in designing and managing scalable data architectures Strong understanding of machine learning and statistical modeling Hands-on proficiency in Python...for data engineering tasks Familiarity with MongoDB and container Company like Kubernetes/Dockers is a plus
Data Engineer II - Remote
Key Responsibilities Design, develop, and maintain data pipelines using Azure Databricks, Apache Spark, and Python Collaborate with data engineering teams to integrate data from various source systems to Azure Ensure data quality, integrity, and security
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