Staff Machine Learning Engineer
August 31
Description
• Lead the development and optimization of machine learning models. • Architect and deploy ML models on cloud platforms. • Provide mentorship and guidance to junior engineers. • Collaborate with cross-functional teams to align machine learning initiatives with business objectives. • Drive innovation by applying advancements in machine learning to real-world problems. • Design data pipelines and storage solutions for seamless data flow through ML models.
Requirements
• 5+ years of experience in software engineering and machine learning. • Proven track record in leading ML projects from conception to deployment in production environments. • Experience with cloud platforms (AWS) and DevOps practices for ML model deployment. • Background in data engineering and big data technologies is highly desirable. • Startup experience is mandatory: Candidates must demonstrate experience in building and scaling ML systems in a startup environment. Experience solely in large corporate environments will not suffice. • Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks. • Strong understanding of algorithms, data structures, and optimization techniques. • Experience with NLP, computer vision, and large language models. • Familiarity with data engineering tools and techniques (e.g., Hadoop, Spark, Kafka). • Strong knowledge of software development best practices and version control systems (e.g., Git).
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