{"id":3427888,"url":"https://alion.io/job/mediamint-senior-technology-manager","title":"Senior Technology Manager","company":{"id":3224909,"name":"MediaMint","domain":"mediamint.ru","url":"https://alion.io/company/mediamint-ru","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, 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to hear from you.\n\nWhat to Expect at MediaMint\n\nAt MediaMint, we believe great people define their surroundings.\nWe value people who are:\nCurious and committed to continuous learning\nHonest, self-aware, and driven by integrity\nFocused on professional and personal growth\nComfortable taking ownership and solving complex problems\nExcited to experiment, innovate, and build meaningful solutions\nIf you're passionate about growth and technology, MediaMint could be the right place for you.\n\nWhat We Do\nMediaMint is an AI-powered Revenue Operations services company dedicated to accelerating innovation and revenue growth for platforms and publishers worldwide.\nOur mission is to improve operational efficiency, scalability, customer satisfaction, and data-driven decision-making through advanced technology, automation, and AI capabilities.\nWe work with industry leaders across AdTech, Consumer, CTV, Publishing, and Retail.\nJob Description\nWe're looking for an engineer-researcher hybrid who is equally comfortable whiteboarding novel model architectures and writing production-grade code.\nIn this role, you will prototype cutting-edge AI solutions, harden them for scale, and build the platform primitives across data, services, and tooling that enable rapid experimentation and reliable delivery.\n\nWhat You'll Do\nResearch & Prototyping\nRapidly explore and benchmark new ML/GenAI techniques\nBuild proof-of-concepts that demonstrate business value\nPlatform Architecture\nDesign microservices, data pipelines, and model-serving infrastructure\nBuild systems that meet demanding performance, latency, reliability, and cost targets\nMLOps & Developer Experience\nBuild CI/CD, automated testing, and observability for models and services\nWork with GitHub Actions/Jenkins, Terraform, Kubernetes, and Prometheus/Grafana\nPerformance Engineering\nProfile and optimize model inference across GPU/TPU environments\nImprove data throughput and overall system reliability\nDrive capacity planning and chaos experiments\nSecurity & Compliance\nEmbed DevSecOps, data privacy, and governance controls across the ML lifecycle\nCross-Functional Collaboration\nPartner with data scientists, product managers, and Revenue Operations SMEs\nTranslate research into scalable features and actionable insights\nTechnical Leadership\nContribute to technical roadmaps\nPublish internal technical papers\nMentor engineers\nRepresent MediaMint in open-source and technology communities\nWhat You Must Bring\n10+ years of software engineering experience with significant experience in AI/ML systems, including training, inference, data engineering, or ML platforms\nStrong Python expertise and proficiency in at least one of Go, Rust, or Java\nStrong Linux fundamentals\nFull-stack development experience with modern front-end frameworks such as React/TypeScript\nExperience building scalable REST/GraphQL APIs and cloud-native backend services\nDeep understanding of at least one cloud provider: AWS, GCP, or Azure\nHands-on experience with Docker and Kubernetes\nExperience with ML frameworks such as PyTorch, TensorFlow, or JAX\nExperience with model-serving stacks such as Triton, TorchServe, or KServe\nInfrastructure-as-Code proficiency with Terraform, Pulumi, or CloudFormation\nStrong CI/CD experience\nExcellent analytical and problem-solving skills across network, compute, data, and application layers\nAbility to debug complex distributed systems\nExcellent written and verbal communication skills\nAbility to communicate research and engineering trade-offs to both technical and non-technical stakeholders\nBonus Points\nPublications or patents in ML/GenAI\nExperience with vector databases, feature stores, or online/offline experimentation platforms\nFamiliarity with AdTech, MarTech, or Revenue Operations\n\nJoin MediaMint\nIf you're passionate about AI, scalable systems, research, and solving real-world business problems, we'd love to connect with you.\n\nExplore more about 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