?? Senior ML & AI Backend Engineer - Big Data, LLMs & MLOps About the Role We're an ambitious, fast-moving tech company developing next-generation solutions at the intersection of advanced Machine Learning, Big Data, and Large Language Models (LLMs). We're looking for a hands-on Senior ML & AI Backend Engineer to design and build the robust backend systems that make our AI products possible. If you thrive in lean, collaborative teams and want your work to have a direct, tangible impact, this is the place for you. What You'll Do • Architect and implement scalable backend systems powering ML models and LLMs in production. • Design, build, and maintain end-to-end ML pipelines, championing MLOps best practices for deployment, monitoring, and iteration. • Develop solutions for big data storage and processing, ensuring data quality, security, and efficiency. • Integrate and optimize both classical ML models and LLMs for real-world use cases. • Research and experiment with state-of-the-art algorithms, tools, and frameworks - bringing fresh ideas from prototype to production. • Collaborate closely with a cross-functional team of data scientists, engineers, and product stakeholders. • Write clean, maintainable, well-tested code and help set engineering best practices. • Diagnose and resolve complex technical challenges in big data and ML systems. About You • You're fluent in Python and experienced with leading ML/AI frameworks (PyTorch, TensorFlow, Scikit-learn, Hugging Face). • You have a solid background in MLOps: experiment tracking, CI/CD for ML, model versioning, deployment, and monitoring. • You've built scalable backend systems and APIs (RESTful/GraphQL), with solid experience in microservices and databases (SQL/NoSQL). • You know your way around big data tools (Spark, Dask) and orchestration (Airflow, DBT). • You understand NLP and have experience working with Large Language Models. • You're cloud-savvy (AWS, GCP, or Azure) and comfortable with containerization (Docker, Kubernetes). • You have strong problem-solving and communication skills and enjoy working on open-ended technical challenges. • Bonus points if you've fine-tuned LLMs, worked with real-time data streaming, or contributed to open-source ML projects. Why You'll Love It Here • Direct influence on impactful products and cutting-edge ML/AI systems. • Work with a tight-knit, collaborative team where your ideas matter. • Opportunity to grow fast alongside a growing company.