Senior Computer Vision / ML Engineer

Own model serving for multiple LLM/speech models on Modal. Build and maintain the APIs around those models. Create the feedback/eval loop to improve quality while meeting strict latency/cost SLOs. Responsibilities Host and scale real-time & batch inference on Modal (autoscaling, images/volumes/secrets). Operate a multi-model fleet (versioning, routing, canaries/blue-green, traffic shaping). Ship endpoints; auth, RBAC, quotas, rate limits, telemetry. Implement feedback pipelines, online A/B evals, and guardrails with actionable alerts. Drive performance: profiling, batching, quantization, KV-cache, runtime tuning. Establish observability and reliability (OTel, metrics/logs, SLOs, runbooks, on-call). CI/CD and IaC for reproducible builds and one-click rollbacks. Must-haves 5+ years in ML Ops/Platform/SRE with production LLM/ML serving. Strong Python; high-throughput async APIs (FastAPI/Starlette) and GitHub-based CI/CD. Deep experience with vLLM, TensorRT-LLM, Triton, or ONNX Runtime. Hands-on with Modal or equivalent GPU/k8s platform. Solid observability (OTel) and incident response/postmortems. Preferred ONNX export expertise (PyTorch→ONNX), quantized/dynamic graphs, custom ops. Safety/guardrails and constrained decoding. Systems perf (CUDA/Triton kernels) or Rust for hot paths; load/chaos testing.

Job Summary: A consulting firm specialized in SAP Analytics Cloud (SAC) implementations is seeking a Senior Consultant (technical and/or functional profile) with strong experience in SAC Planning. The role involves working on end-to-end planning projects for large companies, contributing to model design, advanced SAC configuration, client training, and solution delivery. The ideal candidate is proactive, analytical, and capable of working independently while collaborating in agile teams. Key Responsibilities: Lead or participate in the implementation of SAC Planning projects for enterprise clients. Design customized planning models based on each client’s management style and business needs. Configure SAP Analytics Cloud Planning modules: ○ Stories ○ Data Actions ○ Data Imports/Exports Integrate SAC with SAP HANA, BW, or other SAP modules. Translate client requirements into functional and technical specifications. Document project deliverables and configurations with clear, well-structured writing. Provide training to both internal consultants and client stakeholders. Participate in daily stand-ups and agile workflows with the project team. Act as a consultative partner to clients, offering best practices and recommendations. Required Qualifications: Required Qualifications: Bachelor’s degree in Engineering, Information Systems, Business Administration, Accounting, or similar. Minimum 3 years of hands-on experience with SAP Analytics Cloud Planning. Solid understanding of financial planning and budgeting processes. Proficiency in configuring SAC (stories, data actions, import/export). Experience integrating SAC with SAP HANA or similar systems. Strong written communication and structured documentation skills. Advanced Excel knowledge. Proven ability to work independently and lead client conversations. Availability for occasional travel. Valid passport (required for non-Mexico-based candidates). Ability to read and understand technical content in English. Preferred Qualifications: Experience with SAP BPC (Business Planning and Consolidation). Familiarity with SAP DataSphere and/or SAP Joule. Participation in functional design or requirements gathering workshops. High level of soft skills: teamwork, adaptability, assertiveness, and client diplomacy. Experience mentoring or training colleagues and users. Spoken English proficiency is a plus

We are hiring a QA Engineer to lead and execute both manual and automated testing including web, REST APIs, and potentially mobile/watch apps. You’ll design and run comprehensive test suites, validate key features, and contribute to automation pipelines in collaboration with developers and DevOps. Key Responsibilities Design, document, and execute test cases and test scenarios based on product requirements Perform both manual testing and automated testing across web, API, and optionally mobile platforms Build and maintain automated test suites using Selenium, Cypress, REST Assured, Postman, or JMeter Work closely with engineering teams to catch defects early and improve code/test coverage Contribute to CI/CD test automation and reporting integration Document bugs, analyze root causes, and validate resolutions First 90 Days Deliver comprehensive test coverage for web and API components of our cardio application Launch and validate the first wave of automated tests within our CI/CD pipeline Collaborate cross-functionally to integrate QA processes into the release cycle Establish baseline quality metrics and defect tracking systems Tools & Stack Testing Tools: Selenium, Cypress, Postman, REST Assured, JMeter Testing Types: Functional, regression, integration, load, and exploratory Focus Areas: Web app, REST APIs, potentially smartwatch/mobile apps CI/CD Integration: Azure DevOps, GitHub Actions Success Metrics High test case execution coverage Timely detection and resolution of critical defects CI/CD pipeline integration for automated test suites Reliable test documentation and communication Requirements 4–8 years of QA experience in software testing Experience with both manual and automated testing Familiarity with API testing and tools like Postman and REST Assured Working knowledge of automation frameworks (Selenium/Cypress/etc.) Strong attention to detail and remote documentation habits Fluent English and ability to work overlapping US hours Other Details Work arrangement: Remote, offshore Workload: Full-time (40+ hours/week) Interview process: Technical interview + management interview Soft skills: Communication, documentation, startup agility Compensation: TBD