Senior Machine Learning Engineer

Overview: - Federato aims to provide efficient and equitable insurance coverage, addressing modern challenges like climate change and cyber-attacks. - The company's AI/ML-driven platform optimizes risk portfolios for insurers, focusing on fair pricing and underwriting decisions. - Federato's 'RiskOps' solution enhances data utilization and risk insights, empowering insurance underwriters. Key Responsibilities: - Design and implement scalable ML pipelines, optimizing workflows for accuracy and efficiency. - Evaluate and fine-tune open-source LLMs for business-specific needs, focusing on adaptability and innovation. - Research and integrate advancements in prompt engineering and model optimization. - Collaborate with cross-functional teams, mentor junior members, and ensure production-grade deployment standards. - Manage cloud platforms for model deployment, resource management, and data processing. Requirements/Skills/Qualifications: - Proven experience as a Machine Learning Engineer or similar, with a focus on LLM pipelining for at least 3 years. - Experience in designing, training, benchmarking, and fine-tuning NLP and LLM models. - Familiarity with scalable ML pipelines, Kubeflow, and automating ML workflows. - Proficiency with cloud platforms, including model deployment and data management. - Strong communication skills for explaining complex technical findings to non-technical audiences. Compensation & Benefits: - Salary range: $180,000 - $220,000 per year, subject to factors like location and experience. - Total compensation includes stock options, benefits, and additional perks. - Federato values culture fit, learning, adaptability, and a fun work environment. - Equal opportunity employer, non-discrimination policy, and reasonable accommodation for individuals with disabilities.