Job Title

Senior Python Backend Engineer (ML/AI)Role: Senior Python Backend Engineer (ML/AI)Location: Hybrid / RemoteTeam: AI & InnovationReports to: VP of Artificial IntelligenceAbout BIG Language SolutionsBIG Language Solutions is a global Language Service Provider (LSP) delivering world-class translation and interpretation services for clients across industries. We combine human linguistic expertise with cutting-edge AI to make multilingual communication faster, more accurate, and more accessible. Our innovation spans both written and spoken language solutions—helping organizations break barriers in real time and at scale.Job SummaryWe are seeking a Senior Python Backend Engineer (ML/AI) to design, build, and scale backend systems that power machine learning and AI-driven products. This role focuses on developing high-performance APIs, data pipelines, and services that support model training, inference, and real-time AI applications.Experience: 5+ years of coding experienceMust-Have SkillsAdvanced Python expertiseStrong command of Python internals, async programming, concurrency, and performance optimizationExperience writing production-grade, testable, and maintainable codeBackend & API DevelopmentProven experience building and maintaining high-performance REST/gRPC APIsStrong hands-on experience with FastAPI (dependency injection, async endpoints, background tasks, middleware)API security, authentication/authorization, rate limiting, and versioningML/AI Infrastructure ExperienceHands-on experience supporting ML/AI workloads in productionStrong understanding of model serving, inference pipelines, and latency optimizationExperience integrating ML models into backend servicesNVIDIA Triton Inference ServerPractical experience deploying and managing models using TritonKnowledge of model formats (ONNX, TensorRT, PyTorch, TensorFlow)Experience with batching, concurrency, and performance tuning for inference workloadsSystems & PerformanceSolid understanding of CPU/GPU utilization, memory management, and profilingExperience debugging performance bottlenecks in distributed systemsDatabases & StorageStrong experience with SQL and/or NoSQL databasesFamiliarity with vector databases and feature stores is a plusCloud & DevOpsExperience deploying backend services in cloud environments (AWS, GCP, or Azure)Familiarity with Docker and containerized deploymentsCI/CD pipelines and production monitoring/loggingNice-to-Have SkillsExperience with Kubernetes for scaling ML servicesKnowledge of TensorRT, CUDA basics, or GPU accelerationExperience with message queues or streaming systems (Kafka, Redis, RabbitMQ)Exposure to MLOps workflows and model lifecycle managementWhat We’re Looking ForAbility to work independently on complex backend and ML infrastructure problemsStrong debugging and problem-solving mindsetComfortable collaborating with ML engineers, researchers, and product teamsExperience taking systems from prototype to production at scaleThink global. Think BIG. Visit us: