Job Title
"Senior ML Engineer at TrueFoundry, based out of US Onsite Role" Company Details TrueFoundry offers Data Scientists and ML Engineers a rapid framework for Post Model Pipeline, delivering monitored endpoints in just 15 minutes using advanced DevOps practices, accelerating innovation while ensuring efficiency and reliability in machine learning deployment, Job Roles & Responsibilities Develop scalable ML models and deploy them using Python, Collaborate with Data Scientists to transform insights into actionable production-grade models, Implement best DevOps practices to ensure rapid deployment of monitored model endpoints, Optimize post-model pipelines using TrueFoundry's framework for efficiency, Lead troubleshooting, debugging, and continuous improvement of ML systems, Stay updated with the latest AI/ML technologies and integrate them where necessary, Mentor junior engineers and contribute to team growth, Work closely with cross-functional teams to align AI solutions with company goals, Cultural Expectations Embrace fast-paced, iterative development and deployment of ML models Communicate effectively within multidisciplinary teams Display innovation and creativity in problem-solving Align with a culture emphasizing DevOps best practices Exhibit professionalism and reliability in delivering upon project commitments Hiring Process R1: Profile Shortlisting R2: Tech interview-DSA interview R3: Tech interview-fine-tuning interview R4: Tech interview-ML deployment interview (model deployment) R5: Culture fit

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Senior Software Engineer