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Prepare coding (data structures, debugging), ML system design (features, training/serving split, metrics), and past projects with clear impact. Be ready to discuss tradeoffs on latency, cost, and data leakage. Ask how Top Engineer scopes ownership for model lifecycle and deployment in Sarasota.
Best fit if you want hands-on AI/ML engineering in a non-remote Sarasota role and can own both research-style iteration and production code. Public data on Top Engineer is thin, so treat culture, stack, and compensation as open questions in the process.
As an AI/ML Software Engineer at Top Engineer in Sarasota, a typical day centers on building and shipping models into real products: data pipelines, training/evaluation, and production inference services. Expect code reviews, experiment tracking, debugging latency or accuracy issues, and pairing with product and platform teams. On-site work means local standups and design discussions rather than fully remote async.
Prioritize strong software engineering plus ML fundamentals: Python, experiment design, model evaluation, and serving (APIs, batch jobs, monitoring). Deepen one stack path—classical ML or deep learning—and practice production skills (CI, testing, data quality). No certification list was provided for this posting.
The listing marks remote as off; expect work tied to Sarasota, FL.
AI/ML software delivery: models, data, evaluation, and production systems, not pure research alone.
No cert resources were attached to this posting; emphasize portfolio and production ML skills instead.
The Opportunity Join Top Engineer as an AI/ML Software Engineer in our Sarasota, Florida office and help shape the future of intelligent systems. This confidential role offers the chance to design, build, and deploy cutting-edge machine learning solutions that power real-world applications across multiple industries. As part of a tight-knit team of innovators, you will tackle complex problems in computer vision, natural language processing, and predictive analytics while working with the latest tools and frameworks. If you thrive at the intersection of software engineering and artificial intelligence, this is your opportunity to make a tangible impact in a fast-growing technology leader. Day-to-Day Responsibilities In this role you will develop and optimize machine learning models from concept through production deployment. You will collaborate with data scientists to productionize experimental models, implement scalable training pipelines, and integrate AI capabilities into existing software platforms. Daily tasks include writing clean, maintainable Python code, fine-tuning large language models, monitoring model performance in live environments, and continuously improving system accuracy and efficiency. You will also participate in code reviews, contribute to architectural decisions, and help mentor junior engineers on best practices for building robust AI systems. Requirements Strong candidates will possess a bachelor's or master's degree in Computer Science, Machine Learning, or a related technical field. You should have 3+ years of professional experience building and shipping production ML systems, with deep expertise in Python, TensorFlow or PyTorch, and cloud platforms such as AWS or GCP. A solid understanding of software engineering principles, version control, and CI/CD practices is essential. Experience with large-scale data processing, model optimization techniques, and MLOps tooling will set you apart. Excellent problem-solving skills, clear communication, and the ability to thrive in a collaborative environment are non-negotiable. Working at Top Engineer Top Engineer fosters a culture of innovation, continuous learning, and work-life balance. Our Sarasota office offers a modern, collaborative workspace just minutes from the beach, complete with flexible hours, comprehensive health benefits, and generous paid time off. We invest heavily in professional development through conferences, learning stipends, and access to state-of-the-art GPU infrastructure. Every team member has a direct voice in…
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