Manager, ML Ops

Job not on LinkedIn

July 29

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360 Social Agency

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eCommerce • Digital Marketing • B2B

360 Social Agency is a premier digital marketing agency that specializes in creating personalized and effective marketing strategies for businesses. With a proven track record of delivering rapid results, they offer a 30-day action plan designed to align with company objectives and drive growth. Their extensive services include SEO, social media marketing, advertising, e-commerce solutions, and graphic design, leveraging cutting-edge tools and expert marketing talent to maximize performance and achieve genuine success for their clients.

11 - 50 employees

Founded 2018

🛍️ eCommerce

🤝 B2B

📋 Description

• Own the full ML lifecycle: from training infra and experiment tracking to deployment, observability, and optimization. • Work closely with researchers to remove friction in training, evaluation, and finetuning workflows. • Guide and mentor a small, mature team of engineers (3–4), while still contributing as an individual contributor. • Drive performance optimization (latency, throughput, cost efficiency), model packaging, and runtime reliability. • Build robust systems for CI/CD, versioning, rollback, A/B testing, monitoring, and alerting. • Ensure scalable, secure, and compliant AI infrastructure across training and inference environments. • Collaborate with cloud and AI providers (e.g., AWS, GCP, OpenAI) as needed to integrate tooling, optimize costs, and unlock platform capabilities. • Contribute to other GenAI and cross-functional AI initiatives as needed, beyond core MLOps responsibilities. • Contribute to architectural decisions, roadmap planning, and documentation of our AI engineering stack. • Champion automation, DevOps/MLOps best practices, and technical excellence across the ML lifecycle.

🎯 Requirements

• 5+ years of strong experience in MLOps, ML/AI Engineering. • Solid understanding of ML/DL fundamentals and applied experience in model deployment and training infra. • Proficient with cloud-native ML tooling (e.g., GCP, Vertex AI, Kubernetes). • Comfortable working on both training-side infra and inference-side systems. • Good to have experience with model optimization techniques (e.g., quantization, distillation, FasterTransformer, TensorRT-LLM). • Proven ability to lead complex technical projects end-to-end with minimal oversight. • Strong collaboration and communication skills — able to work cross-functionally and drive technical clarity. • Ownership mindset — comfortable making decisions and guiding others in ambiguous problem spaces.

🏖️ Benefits

• Competitive salary, stock options & annual bonus • Medical coverage • Life and accidental insurance • Vacation & leaves of absence (menstrual, flexible, special, and more!) • Developmental opportunities through education & developmental reimbursements & professional workshops • Maternity & parental leave • Hybrid & remote model with flexible working hours • On-site & remote company events throughout the year • Tech & WFH stipends & new hire allowances • Employee referral program • Premium access to QuillBot