Senior Software Engineer (ML)
Description For Senior Software Engineer (ML)
Matia, a pioneering DataOps platform provider, is seeking a Senior Software Engineer specialized in Machine Learning to join their engineering team. The company is revolutionizing data management with their unified platform that offers seamless data ingestion, reverse ETL, comprehensive observability, and intuitive data cataloging. Trusted by companies like Ramp, Honeybook, and Lemonade, Matia is building the future of data confidence.
The role offers a unique opportunity to work on cutting-edge ML solutions within the DataOps platform. As a Senior ML Engineer, you'll be responsible for the complete lifecycle of machine learning solutions, from research and development to deployment and optimization. You'll work with advanced ML techniques, including potential exposure to Large Language Models (LLMs) and agent architectures.
The ideal candidate should have 5+ years of experience in software development with a strong focus on machine learning. You'll need expertise in Python and popular ML frameworks, along with a solid understanding of MLOps principles and cloud infrastructure (particularly AWS). The position requires both technical excellence and the ability to work collaboratively across teams.
What makes this role particularly exciting is the opportunity to shape the future of data management through ML innovation. You'll be working on complex data challenges, implementing cutting-edge solutions, and directly impacting how organizations handle their data operations. The position offers the perfect blend of technical challenge and business impact, making it ideal for an experienced ML engineer looking to make a significant contribution to the DataOps space.
Responsibilities For Senior Software Engineer (ML)
- Design, develop, and deploy robust and scalable machine learning models and systems for DataOps platform
- Lead the integration of ML-powered features into existing and new services
- Build and optimize data pipelines for ML model training, evaluation, and serving
- Drive the implementation and management of MLOps practices
- Collaborate with product managers and engineering teams
- Conduct research and experimentation with new ML techniques
- Troubleshoot and resolve complex technical issues related to ML systems
Requirements For Senior Software Engineer (ML)
- 5+ years of hands-on experience in software development with focus on machine learning
- Experience in designing, building, and deploying scalable ML models in production
- Exceptional proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn, Hugging Face)
- Strong understanding of MLOps principles and tools
- Experience with data processing and pipeline tools
- Strong understanding of system architecture and AWS cloud platforms
- Solid software engineering fundamentals
- Independent working capability and excellent communication skills
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