Senior ML Engineer

Responsibilities

• Design, develop, and deploy machine learning models and pipelines to solve complex business problems
• Apply expertise in machine learning, optimization, and software engineering to create scalable AI solutions
• Collaborate with technical and business stakeholders to ensure seamless integration of ML models into production systems
• Guide and mentor junior engineers, advocate for engineering best practices, and contribute to the recruitment of technical talent
• Build and optimize data pipelines, ETL processes, and model-serving frameworks
• Drive innovation through effective problem-solving and identification of opportunities to leverage machine learning
• Monitor, debug, and enhance model performance and reliability in production environments

Languages

Required

• 5+ years of hands-on experience building and deploying machine learning models in production
• Strong software engineering skills, including experience with Python, version control systems (e.g., Git), and ML frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn)
• Proficiency in building and optimizing scalable ETL pipelines and working with job-scheduling systems
• Extensive experience with cloud platforms (e.g., AWS, GCP, Azure) and managing large-scale data processing
• Expertise in deploying ML models using modern tools (e.g., Docker, Kubernetes, CI/CD pipelines)
• Strong understanding of MLOps principles and tools to streamline model deployment and lifecycle management

Nice to have

• Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders
• We are seeking an experienced Senior Machine Learning Engineer who can apply strong AI expertise to prototype, develop, and deploy machine learning models. The Senior ML Engineer will collaborate with cross-functional teams to build AI products end-to-end: from ideation and design to deployment and integration into…

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